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Mitigating Challenges of the Space Environment for Onboard Artificial Intelligence: Design Overview of the Imaging Payload on SpIRIT (2404.08399v1)

Published 12 Apr 2024 in cs.CV

Abstract: AI and autonomous edge computing in space are emerging areas of interest to augment capabilities of nanosatellites, where modern sensors generate orders of magnitude more data than can typically be transmitted to mission control. Here, we present the hardware and software design of an onboard AI subsystem hosted on SpIRIT. The system is optimised for on-board computer vision experiments based on visible light and long wave infrared cameras. This paper highlights the key design choices made to maximise the robustness of the system in harsh space conditions, and their motivation relative to key mission requirements, such as limited compute resources, resilience to cosmic radiation, extreme temperature variations, distribution shifts, and very low transmission bandwidths. The payload, called Loris, consists of six visible light cameras, three infrared cameras, a camera control board and a Graphics Processing Unit (GPU) system-on-module. Loris enables the execution of AI models with on-orbit fine-tuning as well as a next-generation image compression algorithm, including progressive coding. This innovative approach not only enhances the data processing capabilities of nanosatellites but also lays the groundwork for broader applications to remote sensing from space.

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Gonzalez, Gianluca Fontanesi, Eva Lagunas, Jorge Querol, and Symeon Chatzinotas. Onboard processing in satellite communications using ai accelerators. Aerospace, 10(2), 2023. Rad et al. [2023] Ioan Octavian Rad, Ramon Maria Garcia Alarcia, Sascha Dengler, Alessandro Golkar, and Chiara Manfletti. Preliminary evaluation of commercial off-the-shelf gpus for machine learning applications in space. 2023. Rodriguez-Ferrandez et al. [2022] Ivan Rodriguez-Ferrandez, Maris Tali, Leonidas Kosmidis, Marta Rovituso, and David Steenari. Sources of single event effects in the nvidia xavier soc family under proton irradiation. 2022 IEEE 28th International Symposium on On-Line Testing and Robust System Design (IOLTS), 2022. Seltzer [1994] Stephen M Seltzer. Updated calculations for routine space-shielding radiation dose estimates: Shieldose-2. 1994. Selva and Krejci [2012] Daniel Selva and David Krejci. A survey and assessment of the capabilities of cubesats for earth observation. Acta Astronautica, 74:50–68, 2012. Sendamarai et al. [2016] P. Sendamarai, M. N. Giri Prasad, S. Madhava Prabhu, and K. N. Nagesh. A cdf based lifting scheme for the satellite image compression. 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC), 2016. Slater et al. [2020] Windy S Slater, Nayana P Tiwari, Tyler M Lovelly, and Jesse K Mee. Total ionizing dose radiation testing of nvidia jetson nano gpus. In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. Zhang et al. [2018] Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. Achal Duhoon, JR Dennison, Jordan Lee, Satoshi Takemori, and Takahiro Yatabe. Total ionizing dose tolerance of micro-sd cards for small satellite missions. 2021. Furano et al. [2020] Gianluca Furano, Gabriele Meoni, Aubrey Dunne, David Moloney, Veronique Ferlet-Cavrois, Antonis Tavoularis, Jonathan Byrne, Léonie Buckley, Mihalis Psarakis, Kay-Obbe Voss, et al. Towards the use of artificial intelligence on the edge in space systems: Challenges and opportunities. IEEE Aerospace and Electronic Systems Magazine, 35(12):44–56, 2020. Ghiglino and Harshe [2023] Pablo Ghiglino and Mandar Harshe. A low power and high performance software approach to artificial intelligence on-board. In 2023 IEEE Space Computing Conference (SCC), pages 63–70, 2023. Giuffrida et al. [2021] Gianluca Giuffrida, Luca Fanucci, Gabriele Meoni, Matej Batič, Léonie Buckley, Aubrey Dunne, Chris van Dijk, Marco Esposito, John Hefele, Nathan Vercruyssen, et al. The ϕitalic-ϕ\phiitalic_ϕ-sat-1 mission: The first on-board deep neural network demonstrator for satellite earth observation. IEEE Transactions on Geoscience and Remote Sensing, 60:1–14, 2021. Gutiérrez et al. [2023] Oscar Gutiérrez, Manuel Prieto, Alvaro Perales-Eceiza, Ali Ravanbakhsh, Mario Basile, and David Guzmán. Toward the use of electronic commercial off-the-shelf devices in space: Assessment of the true radiation environment in low earth orbit (leo). Electronics, 12(19):4058, 2023. Kothari et al. [2020] Vivek Kothari, Edgar Liberis, and Nicholas D. Lane. The final frontier: Deep learning in space, 2020. Kristiani et al. [2020] Endah Kristiani, Chao-Tung Yang, and Kieu Lan Phuong Nguyen. Optimization of deep learning inference on edge devices. In 2020 International Conference on Pervasive Artificial Intelligence (ICPAI), pages 264–267. IEEE, 2020. [16] Gareth Lawrence, Simon Reid, and Michel Kruglanski. Space environment information system: Applicability for mission design and operations. In SpaceOps 2010 Conference, page 045005. American Institute of Aeronautics and Astronautics. Leon et al. [2021] Vasileios Leon, George Lentaris, Evangelos Petrongonas, Dimitrios Soudris, Gianluca Furano, Antonis Tavoularis, and David Moloney. Improving performance-power-programmability in space avionics with edge devices: Vbn on myriad2 soc. ACM Transactions on Embedded Computing Systems (TECS), 20(3):1–23, 2021. Lofqvist and Cano [2020] Martina Lofqvist and José Cano. Accelerating deep learning applications in space. arXiv preprint arXiv:2007.11089, 2020. Murbach et al. [2023] Marcus S. Murbach, Eric Barszcz, L. Seth Schisler, Alejandro J. Salas, Kwabena Boateng, Gregoire Marty, Malachi Mooney-Rivkin, Avery Brock, Stanley M. Krześniak, and Samuel Zuniga. Brainstack – a platform for artificial intelligence & machine learning collaborative experiments on a nano-satellite. In 37th Annual Small Satellite Conference Proceedings, Logan, Utah, 2023. NASA Ames Research Center, SmallSat Organization. Document ID: 20230011460, Report/Patent Number: SSC23-X-03, Public Use Permitted. NASA, Earth Science and Remote Sensing Unit, Johnson Space Center [2012] NASA, Earth Science and Remote Sensing Unit, Johnson Space Center. Image ISS031-E-148504 taken on June 23, 2012. https://eol.jsc.nasa.gov/SearchPhotos/photo.pl?mission=ISS031&roll=E&frame=148504, 2012. Accessed on: December 6, 2020. Oberright [2002] John E Oberright. Nanosatellite science applications. Smaller Satellites: Bigger Business? Concepts, Applications and Markets for Micro/Nanosatellites in a New Information World, pages 83–91, 2002. Ortiz et al. [2023] Flor Ortiz, Victor Monzon Baeza, Luis M. Garces-Socarras, Juan A. Vásquez-Peralvo, Jorge L. Gonzalez, Gianluca Fontanesi, Eva Lagunas, Jorge Querol, and Symeon Chatzinotas. Onboard processing in satellite communications using ai accelerators. Aerospace, 10(2), 2023. Rad et al. [2023] Ioan Octavian Rad, Ramon Maria Garcia Alarcia, Sascha Dengler, Alessandro Golkar, and Chiara Manfletti. Preliminary evaluation of commercial off-the-shelf gpus for machine learning applications in space. 2023. Rodriguez-Ferrandez et al. [2022] Ivan Rodriguez-Ferrandez, Maris Tali, Leonidas Kosmidis, Marta Rovituso, and David Steenari. Sources of single event effects in the nvidia xavier soc family under proton irradiation. 2022 IEEE 28th International Symposium on On-Line Testing and Robust System Design (IOLTS), 2022. Seltzer [1994] Stephen M Seltzer. Updated calculations for routine space-shielding radiation dose estimates: Shieldose-2. 1994. Selva and Krejci [2012] Daniel Selva and David Krejci. A survey and assessment of the capabilities of cubesats for earth observation. Acta Astronautica, 74:50–68, 2012. Sendamarai et al. [2016] P. Sendamarai, M. N. Giri Prasad, S. Madhava Prabhu, and K. N. Nagesh. A cdf based lifting scheme for the satellite image compression. 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC), 2016. Slater et al. [2020] Windy S Slater, Nayana P Tiwari, Tyler M Lovelly, and Jesse K Mee. Total ionizing dose radiation testing of nvidia jetson nano gpus. In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. Zhang et al. [2018] Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. Gianluca Furano, Gabriele Meoni, Aubrey Dunne, David Moloney, Veronique Ferlet-Cavrois, Antonis Tavoularis, Jonathan Byrne, Léonie Buckley, Mihalis Psarakis, Kay-Obbe Voss, et al. Towards the use of artificial intelligence on the edge in space systems: Challenges and opportunities. IEEE Aerospace and Electronic Systems Magazine, 35(12):44–56, 2020. Ghiglino and Harshe [2023] Pablo Ghiglino and Mandar Harshe. A low power and high performance software approach to artificial intelligence on-board. In 2023 IEEE Space Computing Conference (SCC), pages 63–70, 2023. Giuffrida et al. [2021] Gianluca Giuffrida, Luca Fanucci, Gabriele Meoni, Matej Batič, Léonie Buckley, Aubrey Dunne, Chris van Dijk, Marco Esposito, John Hefele, Nathan Vercruyssen, et al. The ϕitalic-ϕ\phiitalic_ϕ-sat-1 mission: The first on-board deep neural network demonstrator for satellite earth observation. IEEE Transactions on Geoscience and Remote Sensing, 60:1–14, 2021. Gutiérrez et al. [2023] Oscar Gutiérrez, Manuel Prieto, Alvaro Perales-Eceiza, Ali Ravanbakhsh, Mario Basile, and David Guzmán. Toward the use of electronic commercial off-the-shelf devices in space: Assessment of the true radiation environment in low earth orbit (leo). Electronics, 12(19):4058, 2023. Kothari et al. [2020] Vivek Kothari, Edgar Liberis, and Nicholas D. Lane. The final frontier: Deep learning in space, 2020. Kristiani et al. [2020] Endah Kristiani, Chao-Tung Yang, and Kieu Lan Phuong Nguyen. Optimization of deep learning inference on edge devices. In 2020 International Conference on Pervasive Artificial Intelligence (ICPAI), pages 264–267. IEEE, 2020. [16] Gareth Lawrence, Simon Reid, and Michel Kruglanski. Space environment information system: Applicability for mission design and operations. In SpaceOps 2010 Conference, page 045005. American Institute of Aeronautics and Astronautics. Leon et al. [2021] Vasileios Leon, George Lentaris, Evangelos Petrongonas, Dimitrios Soudris, Gianluca Furano, Antonis Tavoularis, and David Moloney. Improving performance-power-programmability in space avionics with edge devices: Vbn on myriad2 soc. ACM Transactions on Embedded Computing Systems (TECS), 20(3):1–23, 2021. Lofqvist and Cano [2020] Martina Lofqvist and José Cano. Accelerating deep learning applications in space. arXiv preprint arXiv:2007.11089, 2020. Murbach et al. [2023] Marcus S. Murbach, Eric Barszcz, L. Seth Schisler, Alejandro J. Salas, Kwabena Boateng, Gregoire Marty, Malachi Mooney-Rivkin, Avery Brock, Stanley M. Krześniak, and Samuel Zuniga. Brainstack – a platform for artificial intelligence & machine learning collaborative experiments on a nano-satellite. In 37th Annual Small Satellite Conference Proceedings, Logan, Utah, 2023. NASA Ames Research Center, SmallSat Organization. Document ID: 20230011460, Report/Patent Number: SSC23-X-03, Public Use Permitted. NASA, Earth Science and Remote Sensing Unit, Johnson Space Center [2012] NASA, Earth Science and Remote Sensing Unit, Johnson Space Center. Image ISS031-E-148504 taken on June 23, 2012. https://eol.jsc.nasa.gov/SearchPhotos/photo.pl?mission=ISS031&roll=E&frame=148504, 2012. Accessed on: December 6, 2020. Oberright [2002] John E Oberright. Nanosatellite science applications. Smaller Satellites: Bigger Business? Concepts, Applications and Markets for Micro/Nanosatellites in a New Information World, pages 83–91, 2002. Ortiz et al. [2023] Flor Ortiz, Victor Monzon Baeza, Luis M. Garces-Socarras, Juan A. Vásquez-Peralvo, Jorge L. Gonzalez, Gianluca Fontanesi, Eva Lagunas, Jorge Querol, and Symeon Chatzinotas. Onboard processing in satellite communications using ai accelerators. Aerospace, 10(2), 2023. Rad et al. [2023] Ioan Octavian Rad, Ramon Maria Garcia Alarcia, Sascha Dengler, Alessandro Golkar, and Chiara Manfletti. Preliminary evaluation of commercial off-the-shelf gpus for machine learning applications in space. 2023. Rodriguez-Ferrandez et al. [2022] Ivan Rodriguez-Ferrandez, Maris Tali, Leonidas Kosmidis, Marta Rovituso, and David Steenari. Sources of single event effects in the nvidia xavier soc family under proton irradiation. 2022 IEEE 28th International Symposium on On-Line Testing and Robust System Design (IOLTS), 2022. Seltzer [1994] Stephen M Seltzer. Updated calculations for routine space-shielding radiation dose estimates: Shieldose-2. 1994. Selva and Krejci [2012] Daniel Selva and David Krejci. A survey and assessment of the capabilities of cubesats for earth observation. Acta Astronautica, 74:50–68, 2012. Sendamarai et al. [2016] P. Sendamarai, M. N. Giri Prasad, S. Madhava Prabhu, and K. N. Nagesh. A cdf based lifting scheme for the satellite image compression. 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC), 2016. Slater et al. [2020] Windy S Slater, Nayana P Tiwari, Tyler M Lovelly, and Jesse K Mee. Total ionizing dose radiation testing of nvidia jetson nano gpus. In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. Zhang et al. [2018] Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. Pablo Ghiglino and Mandar Harshe. A low power and high performance software approach to artificial intelligence on-board. In 2023 IEEE Space Computing Conference (SCC), pages 63–70, 2023. Giuffrida et al. [2021] Gianluca Giuffrida, Luca Fanucci, Gabriele Meoni, Matej Batič, Léonie Buckley, Aubrey Dunne, Chris van Dijk, Marco Esposito, John Hefele, Nathan Vercruyssen, et al. The ϕitalic-ϕ\phiitalic_ϕ-sat-1 mission: The first on-board deep neural network demonstrator for satellite earth observation. IEEE Transactions on Geoscience and Remote Sensing, 60:1–14, 2021. Gutiérrez et al. [2023] Oscar Gutiérrez, Manuel Prieto, Alvaro Perales-Eceiza, Ali Ravanbakhsh, Mario Basile, and David Guzmán. Toward the use of electronic commercial off-the-shelf devices in space: Assessment of the true radiation environment in low earth orbit (leo). Electronics, 12(19):4058, 2023. Kothari et al. [2020] Vivek Kothari, Edgar Liberis, and Nicholas D. Lane. The final frontier: Deep learning in space, 2020. Kristiani et al. [2020] Endah Kristiani, Chao-Tung Yang, and Kieu Lan Phuong Nguyen. Optimization of deep learning inference on edge devices. In 2020 International Conference on Pervasive Artificial Intelligence (ICPAI), pages 264–267. IEEE, 2020. [16] Gareth Lawrence, Simon Reid, and Michel Kruglanski. Space environment information system: Applicability for mission design and operations. In SpaceOps 2010 Conference, page 045005. American Institute of Aeronautics and Astronautics. Leon et al. [2021] Vasileios Leon, George Lentaris, Evangelos Petrongonas, Dimitrios Soudris, Gianluca Furano, Antonis Tavoularis, and David Moloney. Improving performance-power-programmability in space avionics with edge devices: Vbn on myriad2 soc. ACM Transactions on Embedded Computing Systems (TECS), 20(3):1–23, 2021. Lofqvist and Cano [2020] Martina Lofqvist and José Cano. Accelerating deep learning applications in space. arXiv preprint arXiv:2007.11089, 2020. Murbach et al. [2023] Marcus S. Murbach, Eric Barszcz, L. Seth Schisler, Alejandro J. Salas, Kwabena Boateng, Gregoire Marty, Malachi Mooney-Rivkin, Avery Brock, Stanley M. Krześniak, and Samuel Zuniga. Brainstack – a platform for artificial intelligence & machine learning collaborative experiments on a nano-satellite. In 37th Annual Small Satellite Conference Proceedings, Logan, Utah, 2023. NASA Ames Research Center, SmallSat Organization. Document ID: 20230011460, Report/Patent Number: SSC23-X-03, Public Use Permitted. NASA, Earth Science and Remote Sensing Unit, Johnson Space Center [2012] NASA, Earth Science and Remote Sensing Unit, Johnson Space Center. Image ISS031-E-148504 taken on June 23, 2012. https://eol.jsc.nasa.gov/SearchPhotos/photo.pl?mission=ISS031&roll=E&frame=148504, 2012. Accessed on: December 6, 2020. Oberright [2002] John E Oberright. Nanosatellite science applications. Smaller Satellites: Bigger Business? Concepts, Applications and Markets for Micro/Nanosatellites in a New Information World, pages 83–91, 2002. Ortiz et al. [2023] Flor Ortiz, Victor Monzon Baeza, Luis M. Garces-Socarras, Juan A. Vásquez-Peralvo, Jorge L. Gonzalez, Gianluca Fontanesi, Eva Lagunas, Jorge Querol, and Symeon Chatzinotas. Onboard processing in satellite communications using ai accelerators. Aerospace, 10(2), 2023. Rad et al. [2023] Ioan Octavian Rad, Ramon Maria Garcia Alarcia, Sascha Dengler, Alessandro Golkar, and Chiara Manfletti. Preliminary evaluation of commercial off-the-shelf gpus for machine learning applications in space. 2023. Rodriguez-Ferrandez et al. [2022] Ivan Rodriguez-Ferrandez, Maris Tali, Leonidas Kosmidis, Marta Rovituso, and David Steenari. Sources of single event effects in the nvidia xavier soc family under proton irradiation. 2022 IEEE 28th International Symposium on On-Line Testing and Robust System Design (IOLTS), 2022. Seltzer [1994] Stephen M Seltzer. Updated calculations for routine space-shielding radiation dose estimates: Shieldose-2. 1994. Selva and Krejci [2012] Daniel Selva and David Krejci. A survey and assessment of the capabilities of cubesats for earth observation. Acta Astronautica, 74:50–68, 2012. Sendamarai et al. [2016] P. Sendamarai, M. N. Giri Prasad, S. Madhava Prabhu, and K. N. Nagesh. A cdf based lifting scheme for the satellite image compression. 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC), 2016. Slater et al. [2020] Windy S Slater, Nayana P Tiwari, Tyler M Lovelly, and Jesse K Mee. Total ionizing dose radiation testing of nvidia jetson nano gpus. In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. Zhang et al. [2018] Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. Gianluca Giuffrida, Luca Fanucci, Gabriele Meoni, Matej Batič, Léonie Buckley, Aubrey Dunne, Chris van Dijk, Marco Esposito, John Hefele, Nathan Vercruyssen, et al. The ϕitalic-ϕ\phiitalic_ϕ-sat-1 mission: The first on-board deep neural network demonstrator for satellite earth observation. IEEE Transactions on Geoscience and Remote Sensing, 60:1–14, 2021. Gutiérrez et al. [2023] Oscar Gutiérrez, Manuel Prieto, Alvaro Perales-Eceiza, Ali Ravanbakhsh, Mario Basile, and David Guzmán. Toward the use of electronic commercial off-the-shelf devices in space: Assessment of the true radiation environment in low earth orbit (leo). Electronics, 12(19):4058, 2023. Kothari et al. [2020] Vivek Kothari, Edgar Liberis, and Nicholas D. Lane. The final frontier: Deep learning in space, 2020. Kristiani et al. [2020] Endah Kristiani, Chao-Tung Yang, and Kieu Lan Phuong Nguyen. Optimization of deep learning inference on edge devices. In 2020 International Conference on Pervasive Artificial Intelligence (ICPAI), pages 264–267. IEEE, 2020. [16] Gareth Lawrence, Simon Reid, and Michel Kruglanski. Space environment information system: Applicability for mission design and operations. In SpaceOps 2010 Conference, page 045005. American Institute of Aeronautics and Astronautics. Leon et al. [2021] Vasileios Leon, George Lentaris, Evangelos Petrongonas, Dimitrios Soudris, Gianluca Furano, Antonis Tavoularis, and David Moloney. Improving performance-power-programmability in space avionics with edge devices: Vbn on myriad2 soc. ACM Transactions on Embedded Computing Systems (TECS), 20(3):1–23, 2021. Lofqvist and Cano [2020] Martina Lofqvist and José Cano. Accelerating deep learning applications in space. arXiv preprint arXiv:2007.11089, 2020. Murbach et al. [2023] Marcus S. Murbach, Eric Barszcz, L. Seth Schisler, Alejandro J. Salas, Kwabena Boateng, Gregoire Marty, Malachi Mooney-Rivkin, Avery Brock, Stanley M. Krześniak, and Samuel Zuniga. Brainstack – a platform for artificial intelligence & machine learning collaborative experiments on a nano-satellite. In 37th Annual Small Satellite Conference Proceedings, Logan, Utah, 2023. NASA Ames Research Center, SmallSat Organization. Document ID: 20230011460, Report/Patent Number: SSC23-X-03, Public Use Permitted. NASA, Earth Science and Remote Sensing Unit, Johnson Space Center [2012] NASA, Earth Science and Remote Sensing Unit, Johnson Space Center. Image ISS031-E-148504 taken on June 23, 2012. https://eol.jsc.nasa.gov/SearchPhotos/photo.pl?mission=ISS031&roll=E&frame=148504, 2012. Accessed on: December 6, 2020. Oberright [2002] John E Oberright. Nanosatellite science applications. Smaller Satellites: Bigger Business? Concepts, Applications and Markets for Micro/Nanosatellites in a New Information World, pages 83–91, 2002. Ortiz et al. [2023] Flor Ortiz, Victor Monzon Baeza, Luis M. Garces-Socarras, Juan A. Vásquez-Peralvo, Jorge L. Gonzalez, Gianluca Fontanesi, Eva Lagunas, Jorge Querol, and Symeon Chatzinotas. Onboard processing in satellite communications using ai accelerators. Aerospace, 10(2), 2023. Rad et al. [2023] Ioan Octavian Rad, Ramon Maria Garcia Alarcia, Sascha Dengler, Alessandro Golkar, and Chiara Manfletti. Preliminary evaluation of commercial off-the-shelf gpus for machine learning applications in space. 2023. Rodriguez-Ferrandez et al. [2022] Ivan Rodriguez-Ferrandez, Maris Tali, Leonidas Kosmidis, Marta Rovituso, and David Steenari. Sources of single event effects in the nvidia xavier soc family under proton irradiation. 2022 IEEE 28th International Symposium on On-Line Testing and Robust System Design (IOLTS), 2022. Seltzer [1994] Stephen M Seltzer. Updated calculations for routine space-shielding radiation dose estimates: Shieldose-2. 1994. Selva and Krejci [2012] Daniel Selva and David Krejci. A survey and assessment of the capabilities of cubesats for earth observation. Acta Astronautica, 74:50–68, 2012. Sendamarai et al. [2016] P. Sendamarai, M. N. Giri Prasad, S. Madhava Prabhu, and K. N. Nagesh. A cdf based lifting scheme for the satellite image compression. 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC), 2016. Slater et al. [2020] Windy S Slater, Nayana P Tiwari, Tyler M Lovelly, and Jesse K Mee. Total ionizing dose radiation testing of nvidia jetson nano gpus. In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. Zhang et al. [2018] Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. Oscar Gutiérrez, Manuel Prieto, Alvaro Perales-Eceiza, Ali Ravanbakhsh, Mario Basile, and David Guzmán. Toward the use of electronic commercial off-the-shelf devices in space: Assessment of the true radiation environment in low earth orbit (leo). Electronics, 12(19):4058, 2023. Kothari et al. [2020] Vivek Kothari, Edgar Liberis, and Nicholas D. Lane. The final frontier: Deep learning in space, 2020. Kristiani et al. [2020] Endah Kristiani, Chao-Tung Yang, and Kieu Lan Phuong Nguyen. Optimization of deep learning inference on edge devices. In 2020 International Conference on Pervasive Artificial Intelligence (ICPAI), pages 264–267. IEEE, 2020. [16] Gareth Lawrence, Simon Reid, and Michel Kruglanski. Space environment information system: Applicability for mission design and operations. In SpaceOps 2010 Conference, page 045005. American Institute of Aeronautics and Astronautics. Leon et al. [2021] Vasileios Leon, George Lentaris, Evangelos Petrongonas, Dimitrios Soudris, Gianluca Furano, Antonis Tavoularis, and David Moloney. Improving performance-power-programmability in space avionics with edge devices: Vbn on myriad2 soc. ACM Transactions on Embedded Computing Systems (TECS), 20(3):1–23, 2021. Lofqvist and Cano [2020] Martina Lofqvist and José Cano. Accelerating deep learning applications in space. arXiv preprint arXiv:2007.11089, 2020. Murbach et al. [2023] Marcus S. Murbach, Eric Barszcz, L. Seth Schisler, Alejandro J. Salas, Kwabena Boateng, Gregoire Marty, Malachi Mooney-Rivkin, Avery Brock, Stanley M. Krześniak, and Samuel Zuniga. Brainstack – a platform for artificial intelligence & machine learning collaborative experiments on a nano-satellite. In 37th Annual Small Satellite Conference Proceedings, Logan, Utah, 2023. NASA Ames Research Center, SmallSat Organization. Document ID: 20230011460, Report/Patent Number: SSC23-X-03, Public Use Permitted. NASA, Earth Science and Remote Sensing Unit, Johnson Space Center [2012] NASA, Earth Science and Remote Sensing Unit, Johnson Space Center. Image ISS031-E-148504 taken on June 23, 2012. https://eol.jsc.nasa.gov/SearchPhotos/photo.pl?mission=ISS031&roll=E&frame=148504, 2012. Accessed on: December 6, 2020. Oberright [2002] John E Oberright. Nanosatellite science applications. Smaller Satellites: Bigger Business? Concepts, Applications and Markets for Micro/Nanosatellites in a New Information World, pages 83–91, 2002. Ortiz et al. [2023] Flor Ortiz, Victor Monzon Baeza, Luis M. Garces-Socarras, Juan A. Vásquez-Peralvo, Jorge L. Gonzalez, Gianluca Fontanesi, Eva Lagunas, Jorge Querol, and Symeon Chatzinotas. Onboard processing in satellite communications using ai accelerators. Aerospace, 10(2), 2023. Rad et al. [2023] Ioan Octavian Rad, Ramon Maria Garcia Alarcia, Sascha Dengler, Alessandro Golkar, and Chiara Manfletti. Preliminary evaluation of commercial off-the-shelf gpus for machine learning applications in space. 2023. Rodriguez-Ferrandez et al. [2022] Ivan Rodriguez-Ferrandez, Maris Tali, Leonidas Kosmidis, Marta Rovituso, and David Steenari. Sources of single event effects in the nvidia xavier soc family under proton irradiation. 2022 IEEE 28th International Symposium on On-Line Testing and Robust System Design (IOLTS), 2022. Seltzer [1994] Stephen M Seltzer. Updated calculations for routine space-shielding radiation dose estimates: Shieldose-2. 1994. Selva and Krejci [2012] Daniel Selva and David Krejci. A survey and assessment of the capabilities of cubesats for earth observation. Acta Astronautica, 74:50–68, 2012. Sendamarai et al. [2016] P. Sendamarai, M. N. Giri Prasad, S. Madhava Prabhu, and K. N. Nagesh. A cdf based lifting scheme for the satellite image compression. 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC), 2016. Slater et al. [2020] Windy S Slater, Nayana P Tiwari, Tyler M Lovelly, and Jesse K Mee. Total ionizing dose radiation testing of nvidia jetson nano gpus. In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. Zhang et al. [2018] Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. Vivek Kothari, Edgar Liberis, and Nicholas D. Lane. The final frontier: Deep learning in space, 2020. Kristiani et al. [2020] Endah Kristiani, Chao-Tung Yang, and Kieu Lan Phuong Nguyen. Optimization of deep learning inference on edge devices. In 2020 International Conference on Pervasive Artificial Intelligence (ICPAI), pages 264–267. IEEE, 2020. [16] Gareth Lawrence, Simon Reid, and Michel Kruglanski. Space environment information system: Applicability for mission design and operations. In SpaceOps 2010 Conference, page 045005. American Institute of Aeronautics and Astronautics. Leon et al. [2021] Vasileios Leon, George Lentaris, Evangelos Petrongonas, Dimitrios Soudris, Gianluca Furano, Antonis Tavoularis, and David Moloney. Improving performance-power-programmability in space avionics with edge devices: Vbn on myriad2 soc. ACM Transactions on Embedded Computing Systems (TECS), 20(3):1–23, 2021. Lofqvist and Cano [2020] Martina Lofqvist and José Cano. Accelerating deep learning applications in space. arXiv preprint arXiv:2007.11089, 2020. Murbach et al. [2023] Marcus S. Murbach, Eric Barszcz, L. Seth Schisler, Alejandro J. Salas, Kwabena Boateng, Gregoire Marty, Malachi Mooney-Rivkin, Avery Brock, Stanley M. Krześniak, and Samuel Zuniga. Brainstack – a platform for artificial intelligence & machine learning collaborative experiments on a nano-satellite. In 37th Annual Small Satellite Conference Proceedings, Logan, Utah, 2023. NASA Ames Research Center, SmallSat Organization. Document ID: 20230011460, Report/Patent Number: SSC23-X-03, Public Use Permitted. NASA, Earth Science and Remote Sensing Unit, Johnson Space Center [2012] NASA, Earth Science and Remote Sensing Unit, Johnson Space Center. Image ISS031-E-148504 taken on June 23, 2012. https://eol.jsc.nasa.gov/SearchPhotos/photo.pl?mission=ISS031&roll=E&frame=148504, 2012. Accessed on: December 6, 2020. Oberright [2002] John E Oberright. Nanosatellite science applications. Smaller Satellites: Bigger Business? Concepts, Applications and Markets for Micro/Nanosatellites in a New Information World, pages 83–91, 2002. Ortiz et al. [2023] Flor Ortiz, Victor Monzon Baeza, Luis M. Garces-Socarras, Juan A. Vásquez-Peralvo, Jorge L. Gonzalez, Gianluca Fontanesi, Eva Lagunas, Jorge Querol, and Symeon Chatzinotas. Onboard processing in satellite communications using ai accelerators. Aerospace, 10(2), 2023. Rad et al. [2023] Ioan Octavian Rad, Ramon Maria Garcia Alarcia, Sascha Dengler, Alessandro Golkar, and Chiara Manfletti. Preliminary evaluation of commercial off-the-shelf gpus for machine learning applications in space. 2023. Rodriguez-Ferrandez et al. [2022] Ivan Rodriguez-Ferrandez, Maris Tali, Leonidas Kosmidis, Marta Rovituso, and David Steenari. Sources of single event effects in the nvidia xavier soc family under proton irradiation. 2022 IEEE 28th International Symposium on On-Line Testing and Robust System Design (IOLTS), 2022. Seltzer [1994] Stephen M Seltzer. Updated calculations for routine space-shielding radiation dose estimates: Shieldose-2. 1994. Selva and Krejci [2012] Daniel Selva and David Krejci. A survey and assessment of the capabilities of cubesats for earth observation. Acta Astronautica, 74:50–68, 2012. Sendamarai et al. [2016] P. Sendamarai, M. N. Giri Prasad, S. Madhava Prabhu, and K. N. Nagesh. A cdf based lifting scheme for the satellite image compression. 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC), 2016. Slater et al. [2020] Windy S Slater, Nayana P Tiwari, Tyler M Lovelly, and Jesse K Mee. Total ionizing dose radiation testing of nvidia jetson nano gpus. In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. Zhang et al. [2018] Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. Endah Kristiani, Chao-Tung Yang, and Kieu Lan Phuong Nguyen. Optimization of deep learning inference on edge devices. In 2020 International Conference on Pervasive Artificial Intelligence (ICPAI), pages 264–267. IEEE, 2020. [16] Gareth Lawrence, Simon Reid, and Michel Kruglanski. Space environment information system: Applicability for mission design and operations. In SpaceOps 2010 Conference, page 045005. American Institute of Aeronautics and Astronautics. Leon et al. [2021] Vasileios Leon, George Lentaris, Evangelos Petrongonas, Dimitrios Soudris, Gianluca Furano, Antonis Tavoularis, and David Moloney. Improving performance-power-programmability in space avionics with edge devices: Vbn on myriad2 soc. ACM Transactions on Embedded Computing Systems (TECS), 20(3):1–23, 2021. Lofqvist and Cano [2020] Martina Lofqvist and José Cano. Accelerating deep learning applications in space. arXiv preprint arXiv:2007.11089, 2020. Murbach et al. [2023] Marcus S. Murbach, Eric Barszcz, L. Seth Schisler, Alejandro J. Salas, Kwabena Boateng, Gregoire Marty, Malachi Mooney-Rivkin, Avery Brock, Stanley M. Krześniak, and Samuel Zuniga. Brainstack – a platform for artificial intelligence & machine learning collaborative experiments on a nano-satellite. In 37th Annual Small Satellite Conference Proceedings, Logan, Utah, 2023. NASA Ames Research Center, SmallSat Organization. Document ID: 20230011460, Report/Patent Number: SSC23-X-03, Public Use Permitted. NASA, Earth Science and Remote Sensing Unit, Johnson Space Center [2012] NASA, Earth Science and Remote Sensing Unit, Johnson Space Center. Image ISS031-E-148504 taken on June 23, 2012. https://eol.jsc.nasa.gov/SearchPhotos/photo.pl?mission=ISS031&roll=E&frame=148504, 2012. Accessed on: December 6, 2020. Oberright [2002] John E Oberright. Nanosatellite science applications. Smaller Satellites: Bigger Business? Concepts, Applications and Markets for Micro/Nanosatellites in a New Information World, pages 83–91, 2002. Ortiz et al. [2023] Flor Ortiz, Victor Monzon Baeza, Luis M. Garces-Socarras, Juan A. Vásquez-Peralvo, Jorge L. Gonzalez, Gianluca Fontanesi, Eva Lagunas, Jorge Querol, and Symeon Chatzinotas. Onboard processing in satellite communications using ai accelerators. Aerospace, 10(2), 2023. Rad et al. [2023] Ioan Octavian Rad, Ramon Maria Garcia Alarcia, Sascha Dengler, Alessandro Golkar, and Chiara Manfletti. Preliminary evaluation of commercial off-the-shelf gpus for machine learning applications in space. 2023. Rodriguez-Ferrandez et al. [2022] Ivan Rodriguez-Ferrandez, Maris Tali, Leonidas Kosmidis, Marta Rovituso, and David Steenari. Sources of single event effects in the nvidia xavier soc family under proton irradiation. 2022 IEEE 28th International Symposium on On-Line Testing and Robust System Design (IOLTS), 2022. Seltzer [1994] Stephen M Seltzer. Updated calculations for routine space-shielding radiation dose estimates: Shieldose-2. 1994. Selva and Krejci [2012] Daniel Selva and David Krejci. A survey and assessment of the capabilities of cubesats for earth observation. Acta Astronautica, 74:50–68, 2012. Sendamarai et al. [2016] P. Sendamarai, M. N. Giri Prasad, S. Madhava Prabhu, and K. N. Nagesh. A cdf based lifting scheme for the satellite image compression. 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC), 2016. Slater et al. [2020] Windy S Slater, Nayana P Tiwari, Tyler M Lovelly, and Jesse K Mee. Total ionizing dose radiation testing of nvidia jetson nano gpus. In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. Zhang et al. [2018] Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. Gareth Lawrence, Simon Reid, and Michel Kruglanski. Space environment information system: Applicability for mission design and operations. In SpaceOps 2010 Conference, page 045005. American Institute of Aeronautics and Astronautics. Leon et al. [2021] Vasileios Leon, George Lentaris, Evangelos Petrongonas, Dimitrios Soudris, Gianluca Furano, Antonis Tavoularis, and David Moloney. Improving performance-power-programmability in space avionics with edge devices: Vbn on myriad2 soc. ACM Transactions on Embedded Computing Systems (TECS), 20(3):1–23, 2021. Lofqvist and Cano [2020] Martina Lofqvist and José Cano. Accelerating deep learning applications in space. arXiv preprint arXiv:2007.11089, 2020. Murbach et al. [2023] Marcus S. Murbach, Eric Barszcz, L. Seth Schisler, Alejandro J. Salas, Kwabena Boateng, Gregoire Marty, Malachi Mooney-Rivkin, Avery Brock, Stanley M. Krześniak, and Samuel Zuniga. Brainstack – a platform for artificial intelligence & machine learning collaborative experiments on a nano-satellite. In 37th Annual Small Satellite Conference Proceedings, Logan, Utah, 2023. NASA Ames Research Center, SmallSat Organization. Document ID: 20230011460, Report/Patent Number: SSC23-X-03, Public Use Permitted. NASA, Earth Science and Remote Sensing Unit, Johnson Space Center [2012] NASA, Earth Science and Remote Sensing Unit, Johnson Space Center. Image ISS031-E-148504 taken on June 23, 2012. https://eol.jsc.nasa.gov/SearchPhotos/photo.pl?mission=ISS031&roll=E&frame=148504, 2012. Accessed on: December 6, 2020. Oberright [2002] John E Oberright. Nanosatellite science applications. Smaller Satellites: Bigger Business? Concepts, Applications and Markets for Micro/Nanosatellites in a New Information World, pages 83–91, 2002. Ortiz et al. [2023] Flor Ortiz, Victor Monzon Baeza, Luis M. Garces-Socarras, Juan A. Vásquez-Peralvo, Jorge L. Gonzalez, Gianluca Fontanesi, Eva Lagunas, Jorge Querol, and Symeon Chatzinotas. Onboard processing in satellite communications using ai accelerators. Aerospace, 10(2), 2023. Rad et al. [2023] Ioan Octavian Rad, Ramon Maria Garcia Alarcia, Sascha Dengler, Alessandro Golkar, and Chiara Manfletti. Preliminary evaluation of commercial off-the-shelf gpus for machine learning applications in space. 2023. Rodriguez-Ferrandez et al. [2022] Ivan Rodriguez-Ferrandez, Maris Tali, Leonidas Kosmidis, Marta Rovituso, and David Steenari. Sources of single event effects in the nvidia xavier soc family under proton irradiation. 2022 IEEE 28th International Symposium on On-Line Testing and Robust System Design (IOLTS), 2022. Seltzer [1994] Stephen M Seltzer. Updated calculations for routine space-shielding radiation dose estimates: Shieldose-2. 1994. Selva and Krejci [2012] Daniel Selva and David Krejci. A survey and assessment of the capabilities of cubesats for earth observation. Acta Astronautica, 74:50–68, 2012. Sendamarai et al. [2016] P. Sendamarai, M. N. Giri Prasad, S. Madhava Prabhu, and K. N. Nagesh. A cdf based lifting scheme for the satellite image compression. 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC), 2016. Slater et al. [2020] Windy S Slater, Nayana P Tiwari, Tyler M Lovelly, and Jesse K Mee. Total ionizing dose radiation testing of nvidia jetson nano gpus. In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. Zhang et al. [2018] Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. Vasileios Leon, George Lentaris, Evangelos Petrongonas, Dimitrios Soudris, Gianluca Furano, Antonis Tavoularis, and David Moloney. Improving performance-power-programmability in space avionics with edge devices: Vbn on myriad2 soc. ACM Transactions on Embedded Computing Systems (TECS), 20(3):1–23, 2021. Lofqvist and Cano [2020] Martina Lofqvist and José Cano. Accelerating deep learning applications in space. arXiv preprint arXiv:2007.11089, 2020. Murbach et al. [2023] Marcus S. Murbach, Eric Barszcz, L. Seth Schisler, Alejandro J. Salas, Kwabena Boateng, Gregoire Marty, Malachi Mooney-Rivkin, Avery Brock, Stanley M. Krześniak, and Samuel Zuniga. Brainstack – a platform for artificial intelligence & machine learning collaborative experiments on a nano-satellite. In 37th Annual Small Satellite Conference Proceedings, Logan, Utah, 2023. NASA Ames Research Center, SmallSat Organization. Document ID: 20230011460, Report/Patent Number: SSC23-X-03, Public Use Permitted. NASA, Earth Science and Remote Sensing Unit, Johnson Space Center [2012] NASA, Earth Science and Remote Sensing Unit, Johnson Space Center. Image ISS031-E-148504 taken on June 23, 2012. https://eol.jsc.nasa.gov/SearchPhotos/photo.pl?mission=ISS031&roll=E&frame=148504, 2012. Accessed on: December 6, 2020. Oberright [2002] John E Oberright. Nanosatellite science applications. Smaller Satellites: Bigger Business? Concepts, Applications and Markets for Micro/Nanosatellites in a New Information World, pages 83–91, 2002. Ortiz et al. [2023] Flor Ortiz, Victor Monzon Baeza, Luis M. Garces-Socarras, Juan A. Vásquez-Peralvo, Jorge L. Gonzalez, Gianluca Fontanesi, Eva Lagunas, Jorge Querol, and Symeon Chatzinotas. Onboard processing in satellite communications using ai accelerators. Aerospace, 10(2), 2023. Rad et al. [2023] Ioan Octavian Rad, Ramon Maria Garcia Alarcia, Sascha Dengler, Alessandro Golkar, and Chiara Manfletti. Preliminary evaluation of commercial off-the-shelf gpus for machine learning applications in space. 2023. Rodriguez-Ferrandez et al. [2022] Ivan Rodriguez-Ferrandez, Maris Tali, Leonidas Kosmidis, Marta Rovituso, and David Steenari. Sources of single event effects in the nvidia xavier soc family under proton irradiation. 2022 IEEE 28th International Symposium on On-Line Testing and Robust System Design (IOLTS), 2022. Seltzer [1994] Stephen M Seltzer. Updated calculations for routine space-shielding radiation dose estimates: Shieldose-2. 1994. Selva and Krejci [2012] Daniel Selva and David Krejci. A survey and assessment of the capabilities of cubesats for earth observation. Acta Astronautica, 74:50–68, 2012. Sendamarai et al. [2016] P. Sendamarai, M. N. Giri Prasad, S. Madhava Prabhu, and K. N. Nagesh. A cdf based lifting scheme for the satellite image compression. 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC), 2016. Slater et al. [2020] Windy S Slater, Nayana P Tiwari, Tyler M Lovelly, and Jesse K Mee. Total ionizing dose radiation testing of nvidia jetson nano gpus. In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. Zhang et al. [2018] Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. Martina Lofqvist and José Cano. Accelerating deep learning applications in space. arXiv preprint arXiv:2007.11089, 2020. Murbach et al. [2023] Marcus S. Murbach, Eric Barszcz, L. Seth Schisler, Alejandro J. Salas, Kwabena Boateng, Gregoire Marty, Malachi Mooney-Rivkin, Avery Brock, Stanley M. Krześniak, and Samuel Zuniga. Brainstack – a platform for artificial intelligence & machine learning collaborative experiments on a nano-satellite. In 37th Annual Small Satellite Conference Proceedings, Logan, Utah, 2023. NASA Ames Research Center, SmallSat Organization. Document ID: 20230011460, Report/Patent Number: SSC23-X-03, Public Use Permitted. NASA, Earth Science and Remote Sensing Unit, Johnson Space Center [2012] NASA, Earth Science and Remote Sensing Unit, Johnson Space Center. Image ISS031-E-148504 taken on June 23, 2012. https://eol.jsc.nasa.gov/SearchPhotos/photo.pl?mission=ISS031&roll=E&frame=148504, 2012. Accessed on: December 6, 2020. Oberright [2002] John E Oberright. Nanosatellite science applications. Smaller Satellites: Bigger Business? Concepts, Applications and Markets for Micro/Nanosatellites in a New Information World, pages 83–91, 2002. Ortiz et al. [2023] Flor Ortiz, Victor Monzon Baeza, Luis M. Garces-Socarras, Juan A. Vásquez-Peralvo, Jorge L. Gonzalez, Gianluca Fontanesi, Eva Lagunas, Jorge Querol, and Symeon Chatzinotas. Onboard processing in satellite communications using ai accelerators. Aerospace, 10(2), 2023. Rad et al. [2023] Ioan Octavian Rad, Ramon Maria Garcia Alarcia, Sascha Dengler, Alessandro Golkar, and Chiara Manfletti. Preliminary evaluation of commercial off-the-shelf gpus for machine learning applications in space. 2023. Rodriguez-Ferrandez et al. [2022] Ivan Rodriguez-Ferrandez, Maris Tali, Leonidas Kosmidis, Marta Rovituso, and David Steenari. Sources of single event effects in the nvidia xavier soc family under proton irradiation. 2022 IEEE 28th International Symposium on On-Line Testing and Robust System Design (IOLTS), 2022. Seltzer [1994] Stephen M Seltzer. Updated calculations for routine space-shielding radiation dose estimates: Shieldose-2. 1994. Selva and Krejci [2012] Daniel Selva and David Krejci. A survey and assessment of the capabilities of cubesats for earth observation. Acta Astronautica, 74:50–68, 2012. Sendamarai et al. [2016] P. Sendamarai, M. N. Giri Prasad, S. Madhava Prabhu, and K. N. Nagesh. A cdf based lifting scheme for the satellite image compression. 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC), 2016. Slater et al. [2020] Windy S Slater, Nayana P Tiwari, Tyler M Lovelly, and Jesse K Mee. Total ionizing dose radiation testing of nvidia jetson nano gpus. In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. Zhang et al. [2018] Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. Marcus S. Murbach, Eric Barszcz, L. Seth Schisler, Alejandro J. Salas, Kwabena Boateng, Gregoire Marty, Malachi Mooney-Rivkin, Avery Brock, Stanley M. Krześniak, and Samuel Zuniga. Brainstack – a platform for artificial intelligence & machine learning collaborative experiments on a nano-satellite. In 37th Annual Small Satellite Conference Proceedings, Logan, Utah, 2023. NASA Ames Research Center, SmallSat Organization. Document ID: 20230011460, Report/Patent Number: SSC23-X-03, Public Use Permitted. NASA, Earth Science and Remote Sensing Unit, Johnson Space Center [2012] NASA, Earth Science and Remote Sensing Unit, Johnson Space Center. 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IEEE Aerospace and Electronic Systems Magazine, 35(12):44–56, 2020. Ghiglino and Harshe [2023] Pablo Ghiglino and Mandar Harshe. A low power and high performance software approach to artificial intelligence on-board. In 2023 IEEE Space Computing Conference (SCC), pages 63–70, 2023. Giuffrida et al. [2021] Gianluca Giuffrida, Luca Fanucci, Gabriele Meoni, Matej Batič, Léonie Buckley, Aubrey Dunne, Chris van Dijk, Marco Esposito, John Hefele, Nathan Vercruyssen, et al. The ϕitalic-ϕ\phiitalic_ϕ-sat-1 mission: The first on-board deep neural network demonstrator for satellite earth observation. IEEE Transactions on Geoscience and Remote Sensing, 60:1–14, 2021. Gutiérrez et al. [2023] Oscar Gutiérrez, Manuel Prieto, Alvaro Perales-Eceiza, Ali Ravanbakhsh, Mario Basile, and David Guzmán. Toward the use of electronic commercial off-the-shelf devices in space: Assessment of the true radiation environment in low earth orbit (leo). Electronics, 12(19):4058, 2023. Kothari et al. [2020] Vivek Kothari, Edgar Liberis, and Nicholas D. Lane. The final frontier: Deep learning in space, 2020. Kristiani et al. [2020] Endah Kristiani, Chao-Tung Yang, and Kieu Lan Phuong Nguyen. Optimization of deep learning inference on edge devices. In 2020 International Conference on Pervasive Artificial Intelligence (ICPAI), pages 264–267. IEEE, 2020. [16] Gareth Lawrence, Simon Reid, and Michel Kruglanski. Space environment information system: Applicability for mission design and operations. In SpaceOps 2010 Conference, page 045005. American Institute of Aeronautics and Astronautics. Leon et al. [2021] Vasileios Leon, George Lentaris, Evangelos Petrongonas, Dimitrios Soudris, Gianluca Furano, Antonis Tavoularis, and David Moloney. Improving performance-power-programmability in space avionics with edge devices: Vbn on myriad2 soc. ACM Transactions on Embedded Computing Systems (TECS), 20(3):1–23, 2021. Lofqvist and Cano [2020] Martina Lofqvist and José Cano. Accelerating deep learning applications in space. arXiv preprint arXiv:2007.11089, 2020. Murbach et al. [2023] Marcus S. Murbach, Eric Barszcz, L. Seth Schisler, Alejandro J. Salas, Kwabena Boateng, Gregoire Marty, Malachi Mooney-Rivkin, Avery Brock, Stanley M. Krześniak, and Samuel Zuniga. Brainstack – a platform for artificial intelligence & machine learning collaborative experiments on a nano-satellite. In 37th Annual Small Satellite Conference Proceedings, Logan, Utah, 2023. NASA Ames Research Center, SmallSat Organization. Document ID: 20230011460, Report/Patent Number: SSC23-X-03, Public Use Permitted. NASA, Earth Science and Remote Sensing Unit, Johnson Space Center [2012] NASA, Earth Science and Remote Sensing Unit, Johnson Space Center. Image ISS031-E-148504 taken on June 23, 2012. https://eol.jsc.nasa.gov/SearchPhotos/photo.pl?mission=ISS031&roll=E&frame=148504, 2012. Accessed on: December 6, 2020. Oberright [2002] John E Oberright. Nanosatellite science applications. Smaller Satellites: Bigger Business? Concepts, Applications and Markets for Micro/Nanosatellites in a New Information World, pages 83–91, 2002. Ortiz et al. [2023] Flor Ortiz, Victor Monzon Baeza, Luis M. Garces-Socarras, Juan A. Vásquez-Peralvo, Jorge L. Gonzalez, Gianluca Fontanesi, Eva Lagunas, Jorge Querol, and Symeon Chatzinotas. Onboard processing in satellite communications using ai accelerators. Aerospace, 10(2), 2023. Rad et al. [2023] Ioan Octavian Rad, Ramon Maria Garcia Alarcia, Sascha Dengler, Alessandro Golkar, and Chiara Manfletti. Preliminary evaluation of commercial off-the-shelf gpus for machine learning applications in space. 2023. Rodriguez-Ferrandez et al. [2022] Ivan Rodriguez-Ferrandez, Maris Tali, Leonidas Kosmidis, Marta Rovituso, and David Steenari. Sources of single event effects in the nvidia xavier soc family under proton irradiation. 2022 IEEE 28th International Symposium on On-Line Testing and Robust System Design (IOLTS), 2022. Seltzer [1994] Stephen M Seltzer. Updated calculations for routine space-shielding radiation dose estimates: Shieldose-2. 1994. Selva and Krejci [2012] Daniel Selva and David Krejci. A survey and assessment of the capabilities of cubesats for earth observation. Acta Astronautica, 74:50–68, 2012. Sendamarai et al. [2016] P. Sendamarai, M. N. Giri Prasad, S. Madhava Prabhu, and K. N. Nagesh. A cdf based lifting scheme for the satellite image compression. 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC), 2016. Slater et al. [2020] Windy S Slater, Nayana P Tiwari, Tyler M Lovelly, and Jesse K Mee. Total ionizing dose radiation testing of nvidia jetson nano gpus. In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. Zhang et al. [2018] Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. Pablo Ghiglino and Mandar Harshe. A low power and high performance software approach to artificial intelligence on-board. In 2023 IEEE Space Computing Conference (SCC), pages 63–70, 2023. Giuffrida et al. [2021] Gianluca Giuffrida, Luca Fanucci, Gabriele Meoni, Matej Batič, Léonie Buckley, Aubrey Dunne, Chris van Dijk, Marco Esposito, John Hefele, Nathan Vercruyssen, et al. The ϕitalic-ϕ\phiitalic_ϕ-sat-1 mission: The first on-board deep neural network demonstrator for satellite earth observation. IEEE Transactions on Geoscience and Remote Sensing, 60:1–14, 2021. Gutiérrez et al. [2023] Oscar Gutiérrez, Manuel Prieto, Alvaro Perales-Eceiza, Ali Ravanbakhsh, Mario Basile, and David Guzmán. Toward the use of electronic commercial off-the-shelf devices in space: Assessment of the true radiation environment in low earth orbit (leo). Electronics, 12(19):4058, 2023. Kothari et al. [2020] Vivek Kothari, Edgar Liberis, and Nicholas D. Lane. The final frontier: Deep learning in space, 2020. Kristiani et al. [2020] Endah Kristiani, Chao-Tung Yang, and Kieu Lan Phuong Nguyen. Optimization of deep learning inference on edge devices. In 2020 International Conference on Pervasive Artificial Intelligence (ICPAI), pages 264–267. IEEE, 2020. [16] Gareth Lawrence, Simon Reid, and Michel Kruglanski. Space environment information system: Applicability for mission design and operations. In SpaceOps 2010 Conference, page 045005. American Institute of Aeronautics and Astronautics. Leon et al. [2021] Vasileios Leon, George Lentaris, Evangelos Petrongonas, Dimitrios Soudris, Gianluca Furano, Antonis Tavoularis, and David Moloney. Improving performance-power-programmability in space avionics with edge devices: Vbn on myriad2 soc. ACM Transactions on Embedded Computing Systems (TECS), 20(3):1–23, 2021. Lofqvist and Cano [2020] Martina Lofqvist and José Cano. Accelerating deep learning applications in space. arXiv preprint arXiv:2007.11089, 2020. Murbach et al. [2023] Marcus S. Murbach, Eric Barszcz, L. Seth Schisler, Alejandro J. Salas, Kwabena Boateng, Gregoire Marty, Malachi Mooney-Rivkin, Avery Brock, Stanley M. Krześniak, and Samuel Zuniga. Brainstack – a platform for artificial intelligence & machine learning collaborative experiments on a nano-satellite. In 37th Annual Small Satellite Conference Proceedings, Logan, Utah, 2023. NASA Ames Research Center, SmallSat Organization. Document ID: 20230011460, Report/Patent Number: SSC23-X-03, Public Use Permitted. NASA, Earth Science and Remote Sensing Unit, Johnson Space Center [2012] NASA, Earth Science and Remote Sensing Unit, Johnson Space Center. Image ISS031-E-148504 taken on June 23, 2012. https://eol.jsc.nasa.gov/SearchPhotos/photo.pl?mission=ISS031&roll=E&frame=148504, 2012. Accessed on: December 6, 2020. Oberright [2002] John E Oberright. Nanosatellite science applications. Smaller Satellites: Bigger Business? Concepts, Applications and Markets for Micro/Nanosatellites in a New Information World, pages 83–91, 2002. Ortiz et al. [2023] Flor Ortiz, Victor Monzon Baeza, Luis M. Garces-Socarras, Juan A. Vásquez-Peralvo, Jorge L. Gonzalez, Gianluca Fontanesi, Eva Lagunas, Jorge Querol, and Symeon Chatzinotas. Onboard processing in satellite communications using ai accelerators. Aerospace, 10(2), 2023. Rad et al. [2023] Ioan Octavian Rad, Ramon Maria Garcia Alarcia, Sascha Dengler, Alessandro Golkar, and Chiara Manfletti. Preliminary evaluation of commercial off-the-shelf gpus for machine learning applications in space. 2023. Rodriguez-Ferrandez et al. [2022] Ivan Rodriguez-Ferrandez, Maris Tali, Leonidas Kosmidis, Marta Rovituso, and David Steenari. Sources of single event effects in the nvidia xavier soc family under proton irradiation. 2022 IEEE 28th International Symposium on On-Line Testing and Robust System Design (IOLTS), 2022. Seltzer [1994] Stephen M Seltzer. Updated calculations for routine space-shielding radiation dose estimates: Shieldose-2. 1994. Selva and Krejci [2012] Daniel Selva and David Krejci. A survey and assessment of the capabilities of cubesats for earth observation. Acta Astronautica, 74:50–68, 2012. Sendamarai et al. [2016] P. Sendamarai, M. N. Giri Prasad, S. Madhava Prabhu, and K. N. Nagesh. A cdf based lifting scheme for the satellite image compression. 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC), 2016. Slater et al. [2020] Windy S Slater, Nayana P Tiwari, Tyler M Lovelly, and Jesse K Mee. Total ionizing dose radiation testing of nvidia jetson nano gpus. In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. Zhang et al. [2018] Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. Gianluca Giuffrida, Luca Fanucci, Gabriele Meoni, Matej Batič, Léonie Buckley, Aubrey Dunne, Chris van Dijk, Marco Esposito, John Hefele, Nathan Vercruyssen, et al. The ϕitalic-ϕ\phiitalic_ϕ-sat-1 mission: The first on-board deep neural network demonstrator for satellite earth observation. IEEE Transactions on Geoscience and Remote Sensing, 60:1–14, 2021. Gutiérrez et al. [2023] Oscar Gutiérrez, Manuel Prieto, Alvaro Perales-Eceiza, Ali Ravanbakhsh, Mario Basile, and David Guzmán. Toward the use of electronic commercial off-the-shelf devices in space: Assessment of the true radiation environment in low earth orbit (leo). Electronics, 12(19):4058, 2023. Kothari et al. [2020] Vivek Kothari, Edgar Liberis, and Nicholas D. Lane. The final frontier: Deep learning in space, 2020. Kristiani et al. [2020] Endah Kristiani, Chao-Tung Yang, and Kieu Lan Phuong Nguyen. Optimization of deep learning inference on edge devices. In 2020 International Conference on Pervasive Artificial Intelligence (ICPAI), pages 264–267. IEEE, 2020. [16] Gareth Lawrence, Simon Reid, and Michel Kruglanski. Space environment information system: Applicability for mission design and operations. In SpaceOps 2010 Conference, page 045005. American Institute of Aeronautics and Astronautics. Leon et al. [2021] Vasileios Leon, George Lentaris, Evangelos Petrongonas, Dimitrios Soudris, Gianluca Furano, Antonis Tavoularis, and David Moloney. Improving performance-power-programmability in space avionics with edge devices: Vbn on myriad2 soc. ACM Transactions on Embedded Computing Systems (TECS), 20(3):1–23, 2021. Lofqvist and Cano [2020] Martina Lofqvist and José Cano. Accelerating deep learning applications in space. arXiv preprint arXiv:2007.11089, 2020. Murbach et al. [2023] Marcus S. Murbach, Eric Barszcz, L. Seth Schisler, Alejandro J. Salas, Kwabena Boateng, Gregoire Marty, Malachi Mooney-Rivkin, Avery Brock, Stanley M. Krześniak, and Samuel Zuniga. Brainstack – a platform for artificial intelligence & machine learning collaborative experiments on a nano-satellite. In 37th Annual Small Satellite Conference Proceedings, Logan, Utah, 2023. NASA Ames Research Center, SmallSat Organization. Document ID: 20230011460, Report/Patent Number: SSC23-X-03, Public Use Permitted. NASA, Earth Science and Remote Sensing Unit, Johnson Space Center [2012] NASA, Earth Science and Remote Sensing Unit, Johnson Space Center. Image ISS031-E-148504 taken on June 23, 2012. https://eol.jsc.nasa.gov/SearchPhotos/photo.pl?mission=ISS031&roll=E&frame=148504, 2012. Accessed on: December 6, 2020. Oberright [2002] John E Oberright. Nanosatellite science applications. Smaller Satellites: Bigger Business? Concepts, Applications and Markets for Micro/Nanosatellites in a New Information World, pages 83–91, 2002. Ortiz et al. [2023] Flor Ortiz, Victor Monzon Baeza, Luis M. Garces-Socarras, Juan A. Vásquez-Peralvo, Jorge L. Gonzalez, Gianluca Fontanesi, Eva Lagunas, Jorge Querol, and Symeon Chatzinotas. Onboard processing in satellite communications using ai accelerators. Aerospace, 10(2), 2023. Rad et al. [2023] Ioan Octavian Rad, Ramon Maria Garcia Alarcia, Sascha Dengler, Alessandro Golkar, and Chiara Manfletti. Preliminary evaluation of commercial off-the-shelf gpus for machine learning applications in space. 2023. Rodriguez-Ferrandez et al. [2022] Ivan Rodriguez-Ferrandez, Maris Tali, Leonidas Kosmidis, Marta Rovituso, and David Steenari. Sources of single event effects in the nvidia xavier soc family under proton irradiation. 2022 IEEE 28th International Symposium on On-Line Testing and Robust System Design (IOLTS), 2022. Seltzer [1994] Stephen M Seltzer. Updated calculations for routine space-shielding radiation dose estimates: Shieldose-2. 1994. Selva and Krejci [2012] Daniel Selva and David Krejci. A survey and assessment of the capabilities of cubesats for earth observation. Acta Astronautica, 74:50–68, 2012. Sendamarai et al. [2016] P. Sendamarai, M. N. Giri Prasad, S. Madhava Prabhu, and K. N. Nagesh. A cdf based lifting scheme for the satellite image compression. 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC), 2016. Slater et al. [2020] Windy S Slater, Nayana P Tiwari, Tyler M Lovelly, and Jesse K Mee. Total ionizing dose radiation testing of nvidia jetson nano gpus. In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. Zhang et al. [2018] Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. Oscar Gutiérrez, Manuel Prieto, Alvaro Perales-Eceiza, Ali Ravanbakhsh, Mario Basile, and David Guzmán. Toward the use of electronic commercial off-the-shelf devices in space: Assessment of the true radiation environment in low earth orbit (leo). Electronics, 12(19):4058, 2023. Kothari et al. [2020] Vivek Kothari, Edgar Liberis, and Nicholas D. Lane. The final frontier: Deep learning in space, 2020. Kristiani et al. [2020] Endah Kristiani, Chao-Tung Yang, and Kieu Lan Phuong Nguyen. Optimization of deep learning inference on edge devices. In 2020 International Conference on Pervasive Artificial Intelligence (ICPAI), pages 264–267. IEEE, 2020. [16] Gareth Lawrence, Simon Reid, and Michel Kruglanski. Space environment information system: Applicability for mission design and operations. In SpaceOps 2010 Conference, page 045005. American Institute of Aeronautics and Astronautics. Leon et al. [2021] Vasileios Leon, George Lentaris, Evangelos Petrongonas, Dimitrios Soudris, Gianluca Furano, Antonis Tavoularis, and David Moloney. Improving performance-power-programmability in space avionics with edge devices: Vbn on myriad2 soc. ACM Transactions on Embedded Computing Systems (TECS), 20(3):1–23, 2021. Lofqvist and Cano [2020] Martina Lofqvist and José Cano. Accelerating deep learning applications in space. arXiv preprint arXiv:2007.11089, 2020. Murbach et al. [2023] Marcus S. Murbach, Eric Barszcz, L. Seth Schisler, Alejandro J. Salas, Kwabena Boateng, Gregoire Marty, Malachi Mooney-Rivkin, Avery Brock, Stanley M. Krześniak, and Samuel Zuniga. Brainstack – a platform for artificial intelligence & machine learning collaborative experiments on a nano-satellite. In 37th Annual Small Satellite Conference Proceedings, Logan, Utah, 2023. NASA Ames Research Center, SmallSat Organization. Document ID: 20230011460, Report/Patent Number: SSC23-X-03, Public Use Permitted. NASA, Earth Science and Remote Sensing Unit, Johnson Space Center [2012] NASA, Earth Science and Remote Sensing Unit, Johnson Space Center. Image ISS031-E-148504 taken on June 23, 2012. https://eol.jsc.nasa.gov/SearchPhotos/photo.pl?mission=ISS031&roll=E&frame=148504, 2012. Accessed on: December 6, 2020. Oberright [2002] John E Oberright. Nanosatellite science applications. Smaller Satellites: Bigger Business? Concepts, Applications and Markets for Micro/Nanosatellites in a New Information World, pages 83–91, 2002. Ortiz et al. [2023] Flor Ortiz, Victor Monzon Baeza, Luis M. Garces-Socarras, Juan A. Vásquez-Peralvo, Jorge L. Gonzalez, Gianluca Fontanesi, Eva Lagunas, Jorge Querol, and Symeon Chatzinotas. Onboard processing in satellite communications using ai accelerators. Aerospace, 10(2), 2023. Rad et al. [2023] Ioan Octavian Rad, Ramon Maria Garcia Alarcia, Sascha Dengler, Alessandro Golkar, and Chiara Manfletti. Preliminary evaluation of commercial off-the-shelf gpus for machine learning applications in space. 2023. Rodriguez-Ferrandez et al. [2022] Ivan Rodriguez-Ferrandez, Maris Tali, Leonidas Kosmidis, Marta Rovituso, and David Steenari. Sources of single event effects in the nvidia xavier soc family under proton irradiation. 2022 IEEE 28th International Symposium on On-Line Testing and Robust System Design (IOLTS), 2022. Seltzer [1994] Stephen M Seltzer. Updated calculations for routine space-shielding radiation dose estimates: Shieldose-2. 1994. Selva and Krejci [2012] Daniel Selva and David Krejci. A survey and assessment of the capabilities of cubesats for earth observation. Acta Astronautica, 74:50–68, 2012. Sendamarai et al. [2016] P. Sendamarai, M. N. Giri Prasad, S. Madhava Prabhu, and K. N. Nagesh. A cdf based lifting scheme for the satellite image compression. 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC), 2016. Slater et al. [2020] Windy S Slater, Nayana P Tiwari, Tyler M Lovelly, and Jesse K Mee. Total ionizing dose radiation testing of nvidia jetson nano gpus. In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. Zhang et al. [2018] Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. Vivek Kothari, Edgar Liberis, and Nicholas D. Lane. The final frontier: Deep learning in space, 2020. Kristiani et al. [2020] Endah Kristiani, Chao-Tung Yang, and Kieu Lan Phuong Nguyen. Optimization of deep learning inference on edge devices. In 2020 International Conference on Pervasive Artificial Intelligence (ICPAI), pages 264–267. IEEE, 2020. [16] Gareth Lawrence, Simon Reid, and Michel Kruglanski. Space environment information system: Applicability for mission design and operations. In SpaceOps 2010 Conference, page 045005. American Institute of Aeronautics and Astronautics. Leon et al. [2021] Vasileios Leon, George Lentaris, Evangelos Petrongonas, Dimitrios Soudris, Gianluca Furano, Antonis Tavoularis, and David Moloney. Improving performance-power-programmability in space avionics with edge devices: Vbn on myriad2 soc. ACM Transactions on Embedded Computing Systems (TECS), 20(3):1–23, 2021. Lofqvist and Cano [2020] Martina Lofqvist and José Cano. Accelerating deep learning applications in space. arXiv preprint arXiv:2007.11089, 2020. Murbach et al. [2023] Marcus S. Murbach, Eric Barszcz, L. Seth Schisler, Alejandro J. Salas, Kwabena Boateng, Gregoire Marty, Malachi Mooney-Rivkin, Avery Brock, Stanley M. Krześniak, and Samuel Zuniga. Brainstack – a platform for artificial intelligence & machine learning collaborative experiments on a nano-satellite. In 37th Annual Small Satellite Conference Proceedings, Logan, Utah, 2023. NASA Ames Research Center, SmallSat Organization. Document ID: 20230011460, Report/Patent Number: SSC23-X-03, Public Use Permitted. NASA, Earth Science and Remote Sensing Unit, Johnson Space Center [2012] NASA, Earth Science and Remote Sensing Unit, Johnson Space Center. Image ISS031-E-148504 taken on June 23, 2012. https://eol.jsc.nasa.gov/SearchPhotos/photo.pl?mission=ISS031&roll=E&frame=148504, 2012. Accessed on: December 6, 2020. Oberright [2002] John E Oberright. Nanosatellite science applications. Smaller Satellites: Bigger Business? Concepts, Applications and Markets for Micro/Nanosatellites in a New Information World, pages 83–91, 2002. Ortiz et al. [2023] Flor Ortiz, Victor Monzon Baeza, Luis M. Garces-Socarras, Juan A. Vásquez-Peralvo, Jorge L. Gonzalez, Gianluca Fontanesi, Eva Lagunas, Jorge Querol, and Symeon Chatzinotas. Onboard processing in satellite communications using ai accelerators. Aerospace, 10(2), 2023. Rad et al. [2023] Ioan Octavian Rad, Ramon Maria Garcia Alarcia, Sascha Dengler, Alessandro Golkar, and Chiara Manfletti. Preliminary evaluation of commercial off-the-shelf gpus for machine learning applications in space. 2023. Rodriguez-Ferrandez et al. [2022] Ivan Rodriguez-Ferrandez, Maris Tali, Leonidas Kosmidis, Marta Rovituso, and David Steenari. Sources of single event effects in the nvidia xavier soc family under proton irradiation. 2022 IEEE 28th International Symposium on On-Line Testing and Robust System Design (IOLTS), 2022. Seltzer [1994] Stephen M Seltzer. Updated calculations for routine space-shielding radiation dose estimates: Shieldose-2. 1994. Selva and Krejci [2012] Daniel Selva and David Krejci. A survey and assessment of the capabilities of cubesats for earth observation. Acta Astronautica, 74:50–68, 2012. Sendamarai et al. [2016] P. Sendamarai, M. N. Giri Prasad, S. Madhava Prabhu, and K. N. Nagesh. A cdf based lifting scheme for the satellite image compression. 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC), 2016. Slater et al. [2020] Windy S Slater, Nayana P Tiwari, Tyler M Lovelly, and Jesse K Mee. Total ionizing dose radiation testing of nvidia jetson nano gpus. In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. Zhang et al. [2018] Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. Endah Kristiani, Chao-Tung Yang, and Kieu Lan Phuong Nguyen. Optimization of deep learning inference on edge devices. In 2020 International Conference on Pervasive Artificial Intelligence (ICPAI), pages 264–267. IEEE, 2020. [16] Gareth Lawrence, Simon Reid, and Michel Kruglanski. Space environment information system: Applicability for mission design and operations. In SpaceOps 2010 Conference, page 045005. American Institute of Aeronautics and Astronautics. Leon et al. [2021] Vasileios Leon, George Lentaris, Evangelos Petrongonas, Dimitrios Soudris, Gianluca Furano, Antonis Tavoularis, and David Moloney. Improving performance-power-programmability in space avionics with edge devices: Vbn on myriad2 soc. ACM Transactions on Embedded Computing Systems (TECS), 20(3):1–23, 2021. Lofqvist and Cano [2020] Martina Lofqvist and José Cano. Accelerating deep learning applications in space. arXiv preprint arXiv:2007.11089, 2020. Murbach et al. [2023] Marcus S. Murbach, Eric Barszcz, L. Seth Schisler, Alejandro J. Salas, Kwabena Boateng, Gregoire Marty, Malachi Mooney-Rivkin, Avery Brock, Stanley M. Krześniak, and Samuel Zuniga. Brainstack – a platform for artificial intelligence & machine learning collaborative experiments on a nano-satellite. In 37th Annual Small Satellite Conference Proceedings, Logan, Utah, 2023. NASA Ames Research Center, SmallSat Organization. Document ID: 20230011460, Report/Patent Number: SSC23-X-03, Public Use Permitted. NASA, Earth Science and Remote Sensing Unit, Johnson Space Center [2012] NASA, Earth Science and Remote Sensing Unit, Johnson Space Center. Image ISS031-E-148504 taken on June 23, 2012. https://eol.jsc.nasa.gov/SearchPhotos/photo.pl?mission=ISS031&roll=E&frame=148504, 2012. Accessed on: December 6, 2020. Oberright [2002] John E Oberright. Nanosatellite science applications. Smaller Satellites: Bigger Business? Concepts, Applications and Markets for Micro/Nanosatellites in a New Information World, pages 83–91, 2002. Ortiz et al. [2023] Flor Ortiz, Victor Monzon Baeza, Luis M. Garces-Socarras, Juan A. Vásquez-Peralvo, Jorge L. Gonzalez, Gianluca Fontanesi, Eva Lagunas, Jorge Querol, and Symeon Chatzinotas. Onboard processing in satellite communications using ai accelerators. Aerospace, 10(2), 2023. Rad et al. [2023] Ioan Octavian Rad, Ramon Maria Garcia Alarcia, Sascha Dengler, Alessandro Golkar, and Chiara Manfletti. Preliminary evaluation of commercial off-the-shelf gpus for machine learning applications in space. 2023. Rodriguez-Ferrandez et al. [2022] Ivan Rodriguez-Ferrandez, Maris Tali, Leonidas Kosmidis, Marta Rovituso, and David Steenari. Sources of single event effects in the nvidia xavier soc family under proton irradiation. 2022 IEEE 28th International Symposium on On-Line Testing and Robust System Design (IOLTS), 2022. Seltzer [1994] Stephen M Seltzer. Updated calculations for routine space-shielding radiation dose estimates: Shieldose-2. 1994. Selva and Krejci [2012] Daniel Selva and David Krejci. A survey and assessment of the capabilities of cubesats for earth observation. Acta Astronautica, 74:50–68, 2012. Sendamarai et al. [2016] P. Sendamarai, M. N. Giri Prasad, S. Madhava Prabhu, and K. N. Nagesh. A cdf based lifting scheme for the satellite image compression. 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC), 2016. Slater et al. 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[2020] Windy S Slater, Nayana P Tiwari, Tyler M Lovelly, and Jesse K Mee. Total ionizing dose radiation testing of nvidia jetson nano gpus. In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. Zhang et al. [2018] Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. Vasileios Leon, George Lentaris, Evangelos Petrongonas, Dimitrios Soudris, Gianluca Furano, Antonis Tavoularis, and David Moloney. Improving performance-power-programmability in space avionics with edge devices: Vbn on myriad2 soc. ACM Transactions on Embedded Computing Systems (TECS), 20(3):1–23, 2021. Lofqvist and Cano [2020] Martina Lofqvist and José Cano. Accelerating deep learning applications in space. arXiv preprint arXiv:2007.11089, 2020. Murbach et al. [2023] Marcus S. Murbach, Eric Barszcz, L. Seth Schisler, Alejandro J. Salas, Kwabena Boateng, Gregoire Marty, Malachi Mooney-Rivkin, Avery Brock, Stanley M. Krześniak, and Samuel Zuniga. Brainstack – a platform for artificial intelligence & machine learning collaborative experiments on a nano-satellite. In 37th Annual Small Satellite Conference Proceedings, Logan, Utah, 2023. NASA Ames Research Center, SmallSat Organization. Document ID: 20230011460, Report/Patent Number: SSC23-X-03, Public Use Permitted. NASA, Earth Science and Remote Sensing Unit, Johnson Space Center [2012] NASA, Earth Science and Remote Sensing Unit, Johnson Space Center. Image ISS031-E-148504 taken on June 23, 2012. https://eol.jsc.nasa.gov/SearchPhotos/photo.pl?mission=ISS031&roll=E&frame=148504, 2012. Accessed on: December 6, 2020. Oberright [2002] John E Oberright. Nanosatellite science applications. Smaller Satellites: Bigger Business? Concepts, Applications and Markets for Micro/Nanosatellites in a New Information World, pages 83–91, 2002. Ortiz et al. [2023] Flor Ortiz, Victor Monzon Baeza, Luis M. Garces-Socarras, Juan A. Vásquez-Peralvo, Jorge L. Gonzalez, Gianluca Fontanesi, Eva Lagunas, Jorge Querol, and Symeon Chatzinotas. Onboard processing in satellite communications using ai accelerators. Aerospace, 10(2), 2023. Rad et al. [2023] Ioan Octavian Rad, Ramon Maria Garcia Alarcia, Sascha Dengler, Alessandro Golkar, and Chiara Manfletti. Preliminary evaluation of commercial off-the-shelf gpus for machine learning applications in space. 2023. Rodriguez-Ferrandez et al. [2022] Ivan Rodriguez-Ferrandez, Maris Tali, Leonidas Kosmidis, Marta Rovituso, and David Steenari. Sources of single event effects in the nvidia xavier soc family under proton irradiation. 2022 IEEE 28th International Symposium on On-Line Testing and Robust System Design (IOLTS), 2022. Seltzer [1994] Stephen M Seltzer. Updated calculations for routine space-shielding radiation dose estimates: Shieldose-2. 1994. Selva and Krejci [2012] Daniel Selva and David Krejci. A survey and assessment of the capabilities of cubesats for earth observation. Acta Astronautica, 74:50–68, 2012. Sendamarai et al. [2016] P. Sendamarai, M. N. Giri Prasad, S. Madhava Prabhu, and K. N. Nagesh. A cdf based lifting scheme for the satellite image compression. 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC), 2016. Slater et al. [2020] Windy S Slater, Nayana P Tiwari, Tyler M Lovelly, and Jesse K Mee. Total ionizing dose radiation testing of nvidia jetson nano gpus. In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. Zhang et al. [2018] Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. Martina Lofqvist and José Cano. Accelerating deep learning applications in space. arXiv preprint arXiv:2007.11089, 2020. Murbach et al. [2023] Marcus S. Murbach, Eric Barszcz, L. Seth Schisler, Alejandro J. Salas, Kwabena Boateng, Gregoire Marty, Malachi Mooney-Rivkin, Avery Brock, Stanley M. Krześniak, and Samuel Zuniga. Brainstack – a platform for artificial intelligence & machine learning collaborative experiments on a nano-satellite. In 37th Annual Small Satellite Conference Proceedings, Logan, Utah, 2023. NASA Ames Research Center, SmallSat Organization. Document ID: 20230011460, Report/Patent Number: SSC23-X-03, Public Use Permitted. NASA, Earth Science and Remote Sensing Unit, Johnson Space Center [2012] NASA, Earth Science and Remote Sensing Unit, Johnson Space Center. Image ISS031-E-148504 taken on June 23, 2012. https://eol.jsc.nasa.gov/SearchPhotos/photo.pl?mission=ISS031&roll=E&frame=148504, 2012. Accessed on: December 6, 2020. Oberright [2002] John E Oberright. Nanosatellite science applications. Smaller Satellites: Bigger Business? Concepts, Applications and Markets for Micro/Nanosatellites in a New Information World, pages 83–91, 2002. Ortiz et al. [2023] Flor Ortiz, Victor Monzon Baeza, Luis M. Garces-Socarras, Juan A. Vásquez-Peralvo, Jorge L. Gonzalez, Gianluca Fontanesi, Eva Lagunas, Jorge Querol, and Symeon Chatzinotas. Onboard processing in satellite communications using ai accelerators. Aerospace, 10(2), 2023. Rad et al. [2023] Ioan Octavian Rad, Ramon Maria Garcia Alarcia, Sascha Dengler, Alessandro Golkar, and Chiara Manfletti. Preliminary evaluation of commercial off-the-shelf gpus for machine learning applications in space. 2023. Rodriguez-Ferrandez et al. [2022] Ivan Rodriguez-Ferrandez, Maris Tali, Leonidas Kosmidis, Marta Rovituso, and David Steenari. Sources of single event effects in the nvidia xavier soc family under proton irradiation. 2022 IEEE 28th International Symposium on On-Line Testing and Robust System Design (IOLTS), 2022. Seltzer [1994] Stephen M Seltzer. Updated calculations for routine space-shielding radiation dose estimates: Shieldose-2. 1994. Selva and Krejci [2012] Daniel Selva and David Krejci. A survey and assessment of the capabilities of cubesats for earth observation. Acta Astronautica, 74:50–68, 2012. Sendamarai et al. [2016] P. Sendamarai, M. N. Giri Prasad, S. Madhava Prabhu, and K. N. Nagesh. A cdf based lifting scheme for the satellite image compression. 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC), 2016. Slater et al. [2020] Windy S Slater, Nayana P Tiwari, Tyler M Lovelly, and Jesse K Mee. Total ionizing dose radiation testing of nvidia jetson nano gpus. In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. Zhang et al. [2018] Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. Marcus S. Murbach, Eric Barszcz, L. Seth Schisler, Alejandro J. Salas, Kwabena Boateng, Gregoire Marty, Malachi Mooney-Rivkin, Avery Brock, Stanley M. Krześniak, and Samuel Zuniga. Brainstack – a platform for artificial intelligence & machine learning collaborative experiments on a nano-satellite. In 37th Annual Small Satellite Conference Proceedings, Logan, Utah, 2023. NASA Ames Research Center, SmallSat Organization. Document ID: 20230011460, Report/Patent Number: SSC23-X-03, Public Use Permitted. NASA, Earth Science and Remote Sensing Unit, Johnson Space Center [2012] NASA, Earth Science and Remote Sensing Unit, Johnson Space Center. Image ISS031-E-148504 taken on June 23, 2012. https://eol.jsc.nasa.gov/SearchPhotos/photo.pl?mission=ISS031&roll=E&frame=148504, 2012. Accessed on: December 6, 2020. Oberright [2002] John E Oberright. Nanosatellite science applications. Smaller Satellites: Bigger Business? Concepts, Applications and Markets for Micro/Nanosatellites in a New Information World, pages 83–91, 2002. Ortiz et al. [2023] Flor Ortiz, Victor Monzon Baeza, Luis M. Garces-Socarras, Juan A. Vásquez-Peralvo, Jorge L. Gonzalez, Gianluca Fontanesi, Eva Lagunas, Jorge Querol, and Symeon Chatzinotas. Onboard processing in satellite communications using ai accelerators. Aerospace, 10(2), 2023. Rad et al. [2023] Ioan Octavian Rad, Ramon Maria Garcia Alarcia, Sascha Dengler, Alessandro Golkar, and Chiara Manfletti. Preliminary evaluation of commercial off-the-shelf gpus for machine learning applications in space. 2023. Rodriguez-Ferrandez et al. [2022] Ivan Rodriguez-Ferrandez, Maris Tali, Leonidas Kosmidis, Marta Rovituso, and David Steenari. Sources of single event effects in the nvidia xavier soc family under proton irradiation. 2022 IEEE 28th International Symposium on On-Line Testing and Robust System Design (IOLTS), 2022. Seltzer [1994] Stephen M Seltzer. Updated calculations for routine space-shielding radiation dose estimates: Shieldose-2. 1994. Selva and Krejci [2012] Daniel Selva and David Krejci. A survey and assessment of the capabilities of cubesats for earth observation. Acta Astronautica, 74:50–68, 2012. Sendamarai et al. [2016] P. Sendamarai, M. N. Giri Prasad, S. Madhava Prabhu, and K. N. Nagesh. A cdf based lifting scheme for the satellite image compression. 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC), 2016. Slater et al. [2020] Windy S Slater, Nayana P Tiwari, Tyler M Lovelly, and Jesse K Mee. Total ionizing dose radiation testing of nvidia jetson nano gpus. In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. Zhang et al. [2018] Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. NASA, Earth Science and Remote Sensing Unit, Johnson Space Center. Image ISS031-E-148504 taken on June 23, 2012. https://eol.jsc.nasa.gov/SearchPhotos/photo.pl?mission=ISS031&roll=E&frame=148504, 2012. Accessed on: December 6, 2020. Oberright [2002] John E Oberright. Nanosatellite science applications. Smaller Satellites: Bigger Business? Concepts, Applications and Markets for Micro/Nanosatellites in a New Information World, pages 83–91, 2002. Ortiz et al. [2023] Flor Ortiz, Victor Monzon Baeza, Luis M. Garces-Socarras, Juan A. Vásquez-Peralvo, Jorge L. Gonzalez, Gianluca Fontanesi, Eva Lagunas, Jorge Querol, and Symeon Chatzinotas. Onboard processing in satellite communications using ai accelerators. Aerospace, 10(2), 2023. Rad et al. [2023] Ioan Octavian Rad, Ramon Maria Garcia Alarcia, Sascha Dengler, Alessandro Golkar, and Chiara Manfletti. Preliminary evaluation of commercial off-the-shelf gpus for machine learning applications in space. 2023. Rodriguez-Ferrandez et al. [2022] Ivan Rodriguez-Ferrandez, Maris Tali, Leonidas Kosmidis, Marta Rovituso, and David Steenari. Sources of single event effects in the nvidia xavier soc family under proton irradiation. 2022 IEEE 28th International Symposium on On-Line Testing and Robust System Design (IOLTS), 2022. Seltzer [1994] Stephen M Seltzer. Updated calculations for routine space-shielding radiation dose estimates: Shieldose-2. 1994. Selva and Krejci [2012] Daniel Selva and David Krejci. A survey and assessment of the capabilities of cubesats for earth observation. Acta Astronautica, 74:50–68, 2012. Sendamarai et al. [2016] P. Sendamarai, M. N. Giri Prasad, S. Madhava Prabhu, and K. N. Nagesh. A cdf based lifting scheme for the satellite image compression. 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC), 2016. Slater et al. [2020] Windy S Slater, Nayana P Tiwari, Tyler M Lovelly, and Jesse K Mee. Total ionizing dose radiation testing of nvidia jetson nano gpus. In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. Zhang et al. [2018] Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. John E Oberright. Nanosatellite science applications. Smaller Satellites: Bigger Business? Concepts, Applications and Markets for Micro/Nanosatellites in a New Information World, pages 83–91, 2002. Ortiz et al. [2023] Flor Ortiz, Victor Monzon Baeza, Luis M. Garces-Socarras, Juan A. Vásquez-Peralvo, Jorge L. Gonzalez, Gianluca Fontanesi, Eva Lagunas, Jorge Querol, and Symeon Chatzinotas. Onboard processing in satellite communications using ai accelerators. Aerospace, 10(2), 2023. Rad et al. [2023] Ioan Octavian Rad, Ramon Maria Garcia Alarcia, Sascha Dengler, Alessandro Golkar, and Chiara Manfletti. Preliminary evaluation of commercial off-the-shelf gpus for machine learning applications in space. 2023. Rodriguez-Ferrandez et al. [2022] Ivan Rodriguez-Ferrandez, Maris Tali, Leonidas Kosmidis, Marta Rovituso, and David Steenari. Sources of single event effects in the nvidia xavier soc family under proton irradiation. 2022 IEEE 28th International Symposium on On-Line Testing and Robust System Design (IOLTS), 2022. Seltzer [1994] Stephen M Seltzer. Updated calculations for routine space-shielding radiation dose estimates: Shieldose-2. 1994. Selva and Krejci [2012] Daniel Selva and David Krejci. A survey and assessment of the capabilities of cubesats for earth observation. Acta Astronautica, 74:50–68, 2012. Sendamarai et al. [2016] P. Sendamarai, M. N. Giri Prasad, S. Madhava Prabhu, and K. N. Nagesh. A cdf based lifting scheme for the satellite image compression. 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC), 2016. Slater et al. [2020] Windy S Slater, Nayana P Tiwari, Tyler M Lovelly, and Jesse K Mee. Total ionizing dose radiation testing of nvidia jetson nano gpus. In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. Zhang et al. [2018] Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. Flor Ortiz, Victor Monzon Baeza, Luis M. Garces-Socarras, Juan A. Vásquez-Peralvo, Jorge L. Gonzalez, Gianluca Fontanesi, Eva Lagunas, Jorge Querol, and Symeon Chatzinotas. Onboard processing in satellite communications using ai accelerators. Aerospace, 10(2), 2023. Rad et al. [2023] Ioan Octavian Rad, Ramon Maria Garcia Alarcia, Sascha Dengler, Alessandro Golkar, and Chiara Manfletti. Preliminary evaluation of commercial off-the-shelf gpus for machine learning applications in space. 2023. Rodriguez-Ferrandez et al. [2022] Ivan Rodriguez-Ferrandez, Maris Tali, Leonidas Kosmidis, Marta Rovituso, and David Steenari. Sources of single event effects in the nvidia xavier soc family under proton irradiation. 2022 IEEE 28th International Symposium on On-Line Testing and Robust System Design (IOLTS), 2022. Seltzer [1994] Stephen M Seltzer. Updated calculations for routine space-shielding radiation dose estimates: Shieldose-2. 1994. Selva and Krejci [2012] Daniel Selva and David Krejci. A survey and assessment of the capabilities of cubesats for earth observation. Acta Astronautica, 74:50–68, 2012. Sendamarai et al. [2016] P. Sendamarai, M. N. Giri Prasad, S. Madhava Prabhu, and K. N. Nagesh. A cdf based lifting scheme for the satellite image compression. 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC), 2016. Slater et al. [2020] Windy S Slater, Nayana P Tiwari, Tyler M Lovelly, and Jesse K Mee. Total ionizing dose radiation testing of nvidia jetson nano gpus. In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. Zhang et al. [2018] Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. Ioan Octavian Rad, Ramon Maria Garcia Alarcia, Sascha Dengler, Alessandro Golkar, and Chiara Manfletti. Preliminary evaluation of commercial off-the-shelf gpus for machine learning applications in space. 2023. Rodriguez-Ferrandez et al. [2022] Ivan Rodriguez-Ferrandez, Maris Tali, Leonidas Kosmidis, Marta Rovituso, and David Steenari. Sources of single event effects in the nvidia xavier soc family under proton irradiation. 2022 IEEE 28th International Symposium on On-Line Testing and Robust System Design (IOLTS), 2022. Seltzer [1994] Stephen M Seltzer. Updated calculations for routine space-shielding radiation dose estimates: Shieldose-2. 1994. Selva and Krejci [2012] Daniel Selva and David Krejci. A survey and assessment of the capabilities of cubesats for earth observation. Acta Astronautica, 74:50–68, 2012. Sendamarai et al. [2016] P. Sendamarai, M. N. Giri Prasad, S. Madhava Prabhu, and K. N. Nagesh. A cdf based lifting scheme for the satellite image compression. 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC), 2016. Slater et al. [2020] Windy S Slater, Nayana P Tiwari, Tyler M Lovelly, and Jesse K Mee. Total ionizing dose radiation testing of nvidia jetson nano gpus. In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. Zhang et al. [2018] Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. Ivan Rodriguez-Ferrandez, Maris Tali, Leonidas Kosmidis, Marta Rovituso, and David Steenari. Sources of single event effects in the nvidia xavier soc family under proton irradiation. 2022 IEEE 28th International Symposium on On-Line Testing and Robust System Design (IOLTS), 2022. Seltzer [1994] Stephen M Seltzer. Updated calculations for routine space-shielding radiation dose estimates: Shieldose-2. 1994. Selva and Krejci [2012] Daniel Selva and David Krejci. A survey and assessment of the capabilities of cubesats for earth observation. Acta Astronautica, 74:50–68, 2012. Sendamarai et al. [2016] P. Sendamarai, M. N. Giri Prasad, S. Madhava Prabhu, and K. N. Nagesh. A cdf based lifting scheme for the satellite image compression. 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC), 2016. Slater et al. [2020] Windy S Slater, Nayana P Tiwari, Tyler M Lovelly, and Jesse K Mee. Total ionizing dose radiation testing of nvidia jetson nano gpus. In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. Zhang et al. [2018] Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. Stephen M Seltzer. Updated calculations for routine space-shielding radiation dose estimates: Shieldose-2. 1994. Selva and Krejci [2012] Daniel Selva and David Krejci. A survey and assessment of the capabilities of cubesats for earth observation. Acta Astronautica, 74:50–68, 2012. Sendamarai et al. [2016] P. Sendamarai, M. N. Giri Prasad, S. Madhava Prabhu, and K. N. Nagesh. A cdf based lifting scheme for the satellite image compression. 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC), 2016. Slater et al. [2020] Windy S Slater, Nayana P Tiwari, Tyler M Lovelly, and Jesse K Mee. Total ionizing dose radiation testing of nvidia jetson nano gpus. In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. Zhang et al. [2018] Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. Daniel Selva and David Krejci. A survey and assessment of the capabilities of cubesats for earth observation. Acta Astronautica, 74:50–68, 2012. Sendamarai et al. [2016] P. Sendamarai, M. N. Giri Prasad, S. Madhava Prabhu, and K. N. Nagesh. A cdf based lifting scheme for the satellite image compression. 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC), 2016. Slater et al. [2020] Windy S Slater, Nayana P Tiwari, Tyler M Lovelly, and Jesse K Mee. Total ionizing dose radiation testing of nvidia jetson nano gpus. In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. Zhang et al. [2018] Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. P. Sendamarai, M. N. Giri Prasad, S. Madhava Prabhu, and K. N. Nagesh. A cdf based lifting scheme for the satellite image compression. 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC), 2016. Slater et al. [2020] Windy S Slater, Nayana P Tiwari, Tyler M Lovelly, and Jesse K Mee. Total ionizing dose radiation testing of nvidia jetson nano gpus. In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. Zhang et al. [2018] Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. Windy S Slater, Nayana P Tiwari, Tyler M Lovelly, and Jesse K Mee. Total ionizing dose radiation testing of nvidia jetson nano gpus. In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. Zhang et al. [2018] Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021.
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Toward the use of electronic commercial off-the-shelf devices in space: Assessment of the true radiation environment in low earth orbit (leo). Electronics, 12(19):4058, 2023. Kothari et al. [2020] Vivek Kothari, Edgar Liberis, and Nicholas D. Lane. The final frontier: Deep learning in space, 2020. Kristiani et al. [2020] Endah Kristiani, Chao-Tung Yang, and Kieu Lan Phuong Nguyen. Optimization of deep learning inference on edge devices. In 2020 International Conference on Pervasive Artificial Intelligence (ICPAI), pages 264–267. IEEE, 2020. [16] Gareth Lawrence, Simon Reid, and Michel Kruglanski. Space environment information system: Applicability for mission design and operations. In SpaceOps 2010 Conference, page 045005. American Institute of Aeronautics and Astronautics. Leon et al. [2021] Vasileios Leon, George Lentaris, Evangelos Petrongonas, Dimitrios Soudris, Gianluca Furano, Antonis Tavoularis, and David Moloney. Improving performance-power-programmability in space avionics with edge devices: Vbn on myriad2 soc. ACM Transactions on Embedded Computing Systems (TECS), 20(3):1–23, 2021. Lofqvist and Cano [2020] Martina Lofqvist and José Cano. Accelerating deep learning applications in space. arXiv preprint arXiv:2007.11089, 2020. Murbach et al. [2023] Marcus S. Murbach, Eric Barszcz, L. Seth Schisler, Alejandro J. Salas, Kwabena Boateng, Gregoire Marty, Malachi Mooney-Rivkin, Avery Brock, Stanley M. Krześniak, and Samuel Zuniga. Brainstack – a platform for artificial intelligence & machine learning collaborative experiments on a nano-satellite. In 37th Annual Small Satellite Conference Proceedings, Logan, Utah, 2023. NASA Ames Research Center, SmallSat Organization. Document ID: 20230011460, Report/Patent Number: SSC23-X-03, Public Use Permitted. NASA, Earth Science and Remote Sensing Unit, Johnson Space Center [2012] NASA, Earth Science and Remote Sensing Unit, Johnson Space Center. Image ISS031-E-148504 taken on June 23, 2012. https://eol.jsc.nasa.gov/SearchPhotos/photo.pl?mission=ISS031&roll=E&frame=148504, 2012. Accessed on: December 6, 2020. Oberright [2002] John E Oberright. Nanosatellite science applications. Smaller Satellites: Bigger Business? Concepts, Applications and Markets for Micro/Nanosatellites in a New Information World, pages 83–91, 2002. Ortiz et al. [2023] Flor Ortiz, Victor Monzon Baeza, Luis M. Garces-Socarras, Juan A. Vásquez-Peralvo, Jorge L. Gonzalez, Gianluca Fontanesi, Eva Lagunas, Jorge Querol, and Symeon Chatzinotas. Onboard processing in satellite communications using ai accelerators. Aerospace, 10(2), 2023. Rad et al. [2023] Ioan Octavian Rad, Ramon Maria Garcia Alarcia, Sascha Dengler, Alessandro Golkar, and Chiara Manfletti. Preliminary evaluation of commercial off-the-shelf gpus for machine learning applications in space. 2023. Rodriguez-Ferrandez et al. [2022] Ivan Rodriguez-Ferrandez, Maris Tali, Leonidas Kosmidis, Marta Rovituso, and David Steenari. Sources of single event effects in the nvidia xavier soc family under proton irradiation. 2022 IEEE 28th International Symposium on On-Line Testing and Robust System Design (IOLTS), 2022. Seltzer [1994] Stephen M Seltzer. Updated calculations for routine space-shielding radiation dose estimates: Shieldose-2. 1994. Selva and Krejci [2012] Daniel Selva and David Krejci. A survey and assessment of the capabilities of cubesats for earth observation. Acta Astronautica, 74:50–68, 2012. Sendamarai et al. [2016] P. Sendamarai, M. N. Giri Prasad, S. Madhava Prabhu, and K. N. Nagesh. A cdf based lifting scheme for the satellite image compression. 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC), 2016. Slater et al. [2020] Windy S Slater, Nayana P Tiwari, Tyler M Lovelly, and Jesse K Mee. Total ionizing dose radiation testing of nvidia jetson nano gpus. In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. Zhang et al. [2018] Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. Pablo Ghiglino and Mandar Harshe. A low power and high performance software approach to artificial intelligence on-board. In 2023 IEEE Space Computing Conference (SCC), pages 63–70, 2023. Giuffrida et al. [2021] Gianluca Giuffrida, Luca Fanucci, Gabriele Meoni, Matej Batič, Léonie Buckley, Aubrey Dunne, Chris van Dijk, Marco Esposito, John Hefele, Nathan Vercruyssen, et al. The ϕitalic-ϕ\phiitalic_ϕ-sat-1 mission: The first on-board deep neural network demonstrator for satellite earth observation. IEEE Transactions on Geoscience and Remote Sensing, 60:1–14, 2021. Gutiérrez et al. [2023] Oscar Gutiérrez, Manuel Prieto, Alvaro Perales-Eceiza, Ali Ravanbakhsh, Mario Basile, and David Guzmán. Toward the use of electronic commercial off-the-shelf devices in space: Assessment of the true radiation environment in low earth orbit (leo). Electronics, 12(19):4058, 2023. Kothari et al. [2020] Vivek Kothari, Edgar Liberis, and Nicholas D. Lane. The final frontier: Deep learning in space, 2020. Kristiani et al. [2020] Endah Kristiani, Chao-Tung Yang, and Kieu Lan Phuong Nguyen. Optimization of deep learning inference on edge devices. In 2020 International Conference on Pervasive Artificial Intelligence (ICPAI), pages 264–267. IEEE, 2020. [16] Gareth Lawrence, Simon Reid, and Michel Kruglanski. Space environment information system: Applicability for mission design and operations. In SpaceOps 2010 Conference, page 045005. American Institute of Aeronautics and Astronautics. Leon et al. [2021] Vasileios Leon, George Lentaris, Evangelos Petrongonas, Dimitrios Soudris, Gianluca Furano, Antonis Tavoularis, and David Moloney. Improving performance-power-programmability in space avionics with edge devices: Vbn on myriad2 soc. ACM Transactions on Embedded Computing Systems (TECS), 20(3):1–23, 2021. Lofqvist and Cano [2020] Martina Lofqvist and José Cano. Accelerating deep learning applications in space. arXiv preprint arXiv:2007.11089, 2020. Murbach et al. [2023] Marcus S. Murbach, Eric Barszcz, L. Seth Schisler, Alejandro J. Salas, Kwabena Boateng, Gregoire Marty, Malachi Mooney-Rivkin, Avery Brock, Stanley M. Krześniak, and Samuel Zuniga. Brainstack – a platform for artificial intelligence & machine learning collaborative experiments on a nano-satellite. In 37th Annual Small Satellite Conference Proceedings, Logan, Utah, 2023. NASA Ames Research Center, SmallSat Organization. Document ID: 20230011460, Report/Patent Number: SSC23-X-03, Public Use Permitted. NASA, Earth Science and Remote Sensing Unit, Johnson Space Center [2012] NASA, Earth Science and Remote Sensing Unit, Johnson Space Center. Image ISS031-E-148504 taken on June 23, 2012. https://eol.jsc.nasa.gov/SearchPhotos/photo.pl?mission=ISS031&roll=E&frame=148504, 2012. Accessed on: December 6, 2020. Oberright [2002] John E Oberright. Nanosatellite science applications. Smaller Satellites: Bigger Business? Concepts, Applications and Markets for Micro/Nanosatellites in a New Information World, pages 83–91, 2002. Ortiz et al. [2023] Flor Ortiz, Victor Monzon Baeza, Luis M. Garces-Socarras, Juan A. Vásquez-Peralvo, Jorge L. Gonzalez, Gianluca Fontanesi, Eva Lagunas, Jorge Querol, and Symeon Chatzinotas. Onboard processing in satellite communications using ai accelerators. Aerospace, 10(2), 2023. Rad et al. [2023] Ioan Octavian Rad, Ramon Maria Garcia Alarcia, Sascha Dengler, Alessandro Golkar, and Chiara Manfletti. Preliminary evaluation of commercial off-the-shelf gpus for machine learning applications in space. 2023. Rodriguez-Ferrandez et al. [2022] Ivan Rodriguez-Ferrandez, Maris Tali, Leonidas Kosmidis, Marta Rovituso, and David Steenari. Sources of single event effects in the nvidia xavier soc family under proton irradiation. 2022 IEEE 28th International Symposium on On-Line Testing and Robust System Design (IOLTS), 2022. Seltzer [1994] Stephen M Seltzer. Updated calculations for routine space-shielding radiation dose estimates: Shieldose-2. 1994. Selva and Krejci [2012] Daniel Selva and David Krejci. A survey and assessment of the capabilities of cubesats for earth observation. Acta Astronautica, 74:50–68, 2012. Sendamarai et al. [2016] P. Sendamarai, M. N. Giri Prasad, S. Madhava Prabhu, and K. N. Nagesh. A cdf based lifting scheme for the satellite image compression. 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC), 2016. Slater et al. [2020] Windy S Slater, Nayana P Tiwari, Tyler M Lovelly, and Jesse K Mee. Total ionizing dose radiation testing of nvidia jetson nano gpus. In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. Zhang et al. [2018] Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. Gianluca Giuffrida, Luca Fanucci, Gabriele Meoni, Matej Batič, Léonie Buckley, Aubrey Dunne, Chris van Dijk, Marco Esposito, John Hefele, Nathan Vercruyssen, et al. The ϕitalic-ϕ\phiitalic_ϕ-sat-1 mission: The first on-board deep neural network demonstrator for satellite earth observation. IEEE Transactions on Geoscience and Remote Sensing, 60:1–14, 2021. Gutiérrez et al. [2023] Oscar Gutiérrez, Manuel Prieto, Alvaro Perales-Eceiza, Ali Ravanbakhsh, Mario Basile, and David Guzmán. Toward the use of electronic commercial off-the-shelf devices in space: Assessment of the true radiation environment in low earth orbit (leo). Electronics, 12(19):4058, 2023. Kothari et al. [2020] Vivek Kothari, Edgar Liberis, and Nicholas D. Lane. The final frontier: Deep learning in space, 2020. Kristiani et al. [2020] Endah Kristiani, Chao-Tung Yang, and Kieu Lan Phuong Nguyen. Optimization of deep learning inference on edge devices. In 2020 International Conference on Pervasive Artificial Intelligence (ICPAI), pages 264–267. IEEE, 2020. [16] Gareth Lawrence, Simon Reid, and Michel Kruglanski. Space environment information system: Applicability for mission design and operations. In SpaceOps 2010 Conference, page 045005. American Institute of Aeronautics and Astronautics. Leon et al. [2021] Vasileios Leon, George Lentaris, Evangelos Petrongonas, Dimitrios Soudris, Gianluca Furano, Antonis Tavoularis, and David Moloney. Improving performance-power-programmability in space avionics with edge devices: Vbn on myriad2 soc. ACM Transactions on Embedded Computing Systems (TECS), 20(3):1–23, 2021. Lofqvist and Cano [2020] Martina Lofqvist and José Cano. Accelerating deep learning applications in space. arXiv preprint arXiv:2007.11089, 2020. Murbach et al. [2023] Marcus S. Murbach, Eric Barszcz, L. Seth Schisler, Alejandro J. Salas, Kwabena Boateng, Gregoire Marty, Malachi Mooney-Rivkin, Avery Brock, Stanley M. Krześniak, and Samuel Zuniga. Brainstack – a platform for artificial intelligence & machine learning collaborative experiments on a nano-satellite. In 37th Annual Small Satellite Conference Proceedings, Logan, Utah, 2023. NASA Ames Research Center, SmallSat Organization. Document ID: 20230011460, Report/Patent Number: SSC23-X-03, Public Use Permitted. NASA, Earth Science and Remote Sensing Unit, Johnson Space Center [2012] NASA, Earth Science and Remote Sensing Unit, Johnson Space Center. Image ISS031-E-148504 taken on June 23, 2012. https://eol.jsc.nasa.gov/SearchPhotos/photo.pl?mission=ISS031&roll=E&frame=148504, 2012. Accessed on: December 6, 2020. Oberright [2002] John E Oberright. Nanosatellite science applications. Smaller Satellites: Bigger Business? Concepts, Applications and Markets for Micro/Nanosatellites in a New Information World, pages 83–91, 2002. Ortiz et al. [2023] Flor Ortiz, Victor Monzon Baeza, Luis M. Garces-Socarras, Juan A. Vásquez-Peralvo, Jorge L. Gonzalez, Gianluca Fontanesi, Eva Lagunas, Jorge Querol, and Symeon Chatzinotas. Onboard processing in satellite communications using ai accelerators. Aerospace, 10(2), 2023. Rad et al. [2023] Ioan Octavian Rad, Ramon Maria Garcia Alarcia, Sascha Dengler, Alessandro Golkar, and Chiara Manfletti. Preliminary evaluation of commercial off-the-shelf gpus for machine learning applications in space. 2023. Rodriguez-Ferrandez et al. [2022] Ivan Rodriguez-Ferrandez, Maris Tali, Leonidas Kosmidis, Marta Rovituso, and David Steenari. Sources of single event effects in the nvidia xavier soc family under proton irradiation. 2022 IEEE 28th International Symposium on On-Line Testing and Robust System Design (IOLTS), 2022. Seltzer [1994] Stephen M Seltzer. Updated calculations for routine space-shielding radiation dose estimates: Shieldose-2. 1994. Selva and Krejci [2012] Daniel Selva and David Krejci. A survey and assessment of the capabilities of cubesats for earth observation. Acta Astronautica, 74:50–68, 2012. Sendamarai et al. [2016] P. Sendamarai, M. N. Giri Prasad, S. Madhava Prabhu, and K. N. Nagesh. A cdf based lifting scheme for the satellite image compression. 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC), 2016. Slater et al. [2020] Windy S Slater, Nayana P Tiwari, Tyler M Lovelly, and Jesse K Mee. Total ionizing dose radiation testing of nvidia jetson nano gpus. In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. Zhang et al. [2018] Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. Oscar Gutiérrez, Manuel Prieto, Alvaro Perales-Eceiza, Ali Ravanbakhsh, Mario Basile, and David Guzmán. Toward the use of electronic commercial off-the-shelf devices in space: Assessment of the true radiation environment in low earth orbit (leo). Electronics, 12(19):4058, 2023. Kothari et al. [2020] Vivek Kothari, Edgar Liberis, and Nicholas D. Lane. The final frontier: Deep learning in space, 2020. Kristiani et al. [2020] Endah Kristiani, Chao-Tung Yang, and Kieu Lan Phuong Nguyen. Optimization of deep learning inference on edge devices. In 2020 International Conference on Pervasive Artificial Intelligence (ICPAI), pages 264–267. IEEE, 2020. [16] Gareth Lawrence, Simon Reid, and Michel Kruglanski. Space environment information system: Applicability for mission design and operations. In SpaceOps 2010 Conference, page 045005. American Institute of Aeronautics and Astronautics. Leon et al. [2021] Vasileios Leon, George Lentaris, Evangelos Petrongonas, Dimitrios Soudris, Gianluca Furano, Antonis Tavoularis, and David Moloney. Improving performance-power-programmability in space avionics with edge devices: Vbn on myriad2 soc. ACM Transactions on Embedded Computing Systems (TECS), 20(3):1–23, 2021. Lofqvist and Cano [2020] Martina Lofqvist and José Cano. Accelerating deep learning applications in space. arXiv preprint arXiv:2007.11089, 2020. Murbach et al. [2023] Marcus S. Murbach, Eric Barszcz, L. Seth Schisler, Alejandro J. Salas, Kwabena Boateng, Gregoire Marty, Malachi Mooney-Rivkin, Avery Brock, Stanley M. Krześniak, and Samuel Zuniga. Brainstack – a platform for artificial intelligence & machine learning collaborative experiments on a nano-satellite. In 37th Annual Small Satellite Conference Proceedings, Logan, Utah, 2023. NASA Ames Research Center, SmallSat Organization. Document ID: 20230011460, Report/Patent Number: SSC23-X-03, Public Use Permitted. NASA, Earth Science and Remote Sensing Unit, Johnson Space Center [2012] NASA, Earth Science and Remote Sensing Unit, Johnson Space Center. Image ISS031-E-148504 taken on June 23, 2012. https://eol.jsc.nasa.gov/SearchPhotos/photo.pl?mission=ISS031&roll=E&frame=148504, 2012. Accessed on: December 6, 2020. Oberright [2002] John E Oberright. Nanosatellite science applications. Smaller Satellites: Bigger Business? Concepts, Applications and Markets for Micro/Nanosatellites in a New Information World, pages 83–91, 2002. Ortiz et al. [2023] Flor Ortiz, Victor Monzon Baeza, Luis M. Garces-Socarras, Juan A. Vásquez-Peralvo, Jorge L. Gonzalez, Gianluca Fontanesi, Eva Lagunas, Jorge Querol, and Symeon Chatzinotas. Onboard processing in satellite communications using ai accelerators. Aerospace, 10(2), 2023. Rad et al. [2023] Ioan Octavian Rad, Ramon Maria Garcia Alarcia, Sascha Dengler, Alessandro Golkar, and Chiara Manfletti. Preliminary evaluation of commercial off-the-shelf gpus for machine learning applications in space. 2023. Rodriguez-Ferrandez et al. [2022] Ivan Rodriguez-Ferrandez, Maris Tali, Leonidas Kosmidis, Marta Rovituso, and David Steenari. Sources of single event effects in the nvidia xavier soc family under proton irradiation. 2022 IEEE 28th International Symposium on On-Line Testing and Robust System Design (IOLTS), 2022. Seltzer [1994] Stephen M Seltzer. Updated calculations for routine space-shielding radiation dose estimates: Shieldose-2. 1994. Selva and Krejci [2012] Daniel Selva and David Krejci. A survey and assessment of the capabilities of cubesats for earth observation. Acta Astronautica, 74:50–68, 2012. Sendamarai et al. [2016] P. Sendamarai, M. N. Giri Prasad, S. Madhava Prabhu, and K. N. Nagesh. A cdf based lifting scheme for the satellite image compression. 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC), 2016. Slater et al. [2020] Windy S Slater, Nayana P Tiwari, Tyler M Lovelly, and Jesse K Mee. Total ionizing dose radiation testing of nvidia jetson nano gpus. In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. Zhang et al. [2018] Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. Vivek Kothari, Edgar Liberis, and Nicholas D. Lane. The final frontier: Deep learning in space, 2020. Kristiani et al. [2020] Endah Kristiani, Chao-Tung Yang, and Kieu Lan Phuong Nguyen. Optimization of deep learning inference on edge devices. In 2020 International Conference on Pervasive Artificial Intelligence (ICPAI), pages 264–267. IEEE, 2020. [16] Gareth Lawrence, Simon Reid, and Michel Kruglanski. Space environment information system: Applicability for mission design and operations. In SpaceOps 2010 Conference, page 045005. American Institute of Aeronautics and Astronautics. Leon et al. [2021] Vasileios Leon, George Lentaris, Evangelos Petrongonas, Dimitrios Soudris, Gianluca Furano, Antonis Tavoularis, and David Moloney. Improving performance-power-programmability in space avionics with edge devices: Vbn on myriad2 soc. ACM Transactions on Embedded Computing Systems (TECS), 20(3):1–23, 2021. Lofqvist and Cano [2020] Martina Lofqvist and José Cano. Accelerating deep learning applications in space. arXiv preprint arXiv:2007.11089, 2020. Murbach et al. [2023] Marcus S. Murbach, Eric Barszcz, L. Seth Schisler, Alejandro J. Salas, Kwabena Boateng, Gregoire Marty, Malachi Mooney-Rivkin, Avery Brock, Stanley M. Krześniak, and Samuel Zuniga. Brainstack – a platform for artificial intelligence & machine learning collaborative experiments on a nano-satellite. In 37th Annual Small Satellite Conference Proceedings, Logan, Utah, 2023. NASA Ames Research Center, SmallSat Organization. Document ID: 20230011460, Report/Patent Number: SSC23-X-03, Public Use Permitted. NASA, Earth Science and Remote Sensing Unit, Johnson Space Center [2012] NASA, Earth Science and Remote Sensing Unit, Johnson Space Center. Image ISS031-E-148504 taken on June 23, 2012. https://eol.jsc.nasa.gov/SearchPhotos/photo.pl?mission=ISS031&roll=E&frame=148504, 2012. Accessed on: December 6, 2020. Oberright [2002] John E Oberright. Nanosatellite science applications. Smaller Satellites: Bigger Business? Concepts, Applications and Markets for Micro/Nanosatellites in a New Information World, pages 83–91, 2002. Ortiz et al. [2023] Flor Ortiz, Victor Monzon Baeza, Luis M. Garces-Socarras, Juan A. Vásquez-Peralvo, Jorge L. Gonzalez, Gianluca Fontanesi, Eva Lagunas, Jorge Querol, and Symeon Chatzinotas. Onboard processing in satellite communications using ai accelerators. Aerospace, 10(2), 2023. Rad et al. [2023] Ioan Octavian Rad, Ramon Maria Garcia Alarcia, Sascha Dengler, Alessandro Golkar, and Chiara Manfletti. Preliminary evaluation of commercial off-the-shelf gpus for machine learning applications in space. 2023. Rodriguez-Ferrandez et al. [2022] Ivan Rodriguez-Ferrandez, Maris Tali, Leonidas Kosmidis, Marta Rovituso, and David Steenari. Sources of single event effects in the nvidia xavier soc family under proton irradiation. 2022 IEEE 28th International Symposium on On-Line Testing and Robust System Design (IOLTS), 2022. Seltzer [1994] Stephen M Seltzer. Updated calculations for routine space-shielding radiation dose estimates: Shieldose-2. 1994. Selva and Krejci [2012] Daniel Selva and David Krejci. A survey and assessment of the capabilities of cubesats for earth observation. Acta Astronautica, 74:50–68, 2012. Sendamarai et al. [2016] P. Sendamarai, M. N. Giri Prasad, S. Madhava Prabhu, and K. N. Nagesh. A cdf based lifting scheme for the satellite image compression. 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC), 2016. Slater et al. [2020] Windy S Slater, Nayana P Tiwari, Tyler M Lovelly, and Jesse K Mee. Total ionizing dose radiation testing of nvidia jetson nano gpus. In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. Zhang et al. [2018] Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. Endah Kristiani, Chao-Tung Yang, and Kieu Lan Phuong Nguyen. Optimization of deep learning inference on edge devices. In 2020 International Conference on Pervasive Artificial Intelligence (ICPAI), pages 264–267. IEEE, 2020. [16] Gareth Lawrence, Simon Reid, and Michel Kruglanski. Space environment information system: Applicability for mission design and operations. In SpaceOps 2010 Conference, page 045005. American Institute of Aeronautics and Astronautics. Leon et al. [2021] Vasileios Leon, George Lentaris, Evangelos Petrongonas, Dimitrios Soudris, Gianluca Furano, Antonis Tavoularis, and David Moloney. Improving performance-power-programmability in space avionics with edge devices: Vbn on myriad2 soc. ACM Transactions on Embedded Computing Systems (TECS), 20(3):1–23, 2021. Lofqvist and Cano [2020] Martina Lofqvist and José Cano. Accelerating deep learning applications in space. arXiv preprint arXiv:2007.11089, 2020. Murbach et al. [2023] Marcus S. Murbach, Eric Barszcz, L. Seth Schisler, Alejandro J. Salas, Kwabena Boateng, Gregoire Marty, Malachi Mooney-Rivkin, Avery Brock, Stanley M. Krześniak, and Samuel Zuniga. Brainstack – a platform for artificial intelligence & machine learning collaborative experiments on a nano-satellite. In 37th Annual Small Satellite Conference Proceedings, Logan, Utah, 2023. NASA Ames Research Center, SmallSat Organization. Document ID: 20230011460, Report/Patent Number: SSC23-X-03, Public Use Permitted. NASA, Earth Science and Remote Sensing Unit, Johnson Space Center [2012] NASA, Earth Science and Remote Sensing Unit, Johnson Space Center. Image ISS031-E-148504 taken on June 23, 2012. https://eol.jsc.nasa.gov/SearchPhotos/photo.pl?mission=ISS031&roll=E&frame=148504, 2012. Accessed on: December 6, 2020. Oberright [2002] John E Oberright. Nanosatellite science applications. Smaller Satellites: Bigger Business? Concepts, Applications and Markets for Micro/Nanosatellites in a New Information World, pages 83–91, 2002. Ortiz et al. [2023] Flor Ortiz, Victor Monzon Baeza, Luis M. Garces-Socarras, Juan A. Vásquez-Peralvo, Jorge L. Gonzalez, Gianluca Fontanesi, Eva Lagunas, Jorge Querol, and Symeon Chatzinotas. Onboard processing in satellite communications using ai accelerators. Aerospace, 10(2), 2023. Rad et al. [2023] Ioan Octavian Rad, Ramon Maria Garcia Alarcia, Sascha Dengler, Alessandro Golkar, and Chiara Manfletti. Preliminary evaluation of commercial off-the-shelf gpus for machine learning applications in space. 2023. Rodriguez-Ferrandez et al. [2022] Ivan Rodriguez-Ferrandez, Maris Tali, Leonidas Kosmidis, Marta Rovituso, and David Steenari. Sources of single event effects in the nvidia xavier soc family under proton irradiation. 2022 IEEE 28th International Symposium on On-Line Testing and Robust System Design (IOLTS), 2022. Seltzer [1994] Stephen M Seltzer. Updated calculations for routine space-shielding radiation dose estimates: Shieldose-2. 1994. Selva and Krejci [2012] Daniel Selva and David Krejci. A survey and assessment of the capabilities of cubesats for earth observation. Acta Astronautica, 74:50–68, 2012. Sendamarai et al. [2016] P. Sendamarai, M. N. Giri Prasad, S. Madhava Prabhu, and K. N. Nagesh. A cdf based lifting scheme for the satellite image compression. 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC), 2016. Slater et al. [2020] Windy S Slater, Nayana P Tiwari, Tyler M Lovelly, and Jesse K Mee. Total ionizing dose radiation testing of nvidia jetson nano gpus. In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. Zhang et al. [2018] Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. Gareth Lawrence, Simon Reid, and Michel Kruglanski. Space environment information system: Applicability for mission design and operations. In SpaceOps 2010 Conference, page 045005. American Institute of Aeronautics and Astronautics. Leon et al. [2021] Vasileios Leon, George Lentaris, Evangelos Petrongonas, Dimitrios Soudris, Gianluca Furano, Antonis Tavoularis, and David Moloney. Improving performance-power-programmability in space avionics with edge devices: Vbn on myriad2 soc. ACM Transactions on Embedded Computing Systems (TECS), 20(3):1–23, 2021. Lofqvist and Cano [2020] Martina Lofqvist and José Cano. Accelerating deep learning applications in space. arXiv preprint arXiv:2007.11089, 2020. Murbach et al. [2023] Marcus S. Murbach, Eric Barszcz, L. Seth Schisler, Alejandro J. Salas, Kwabena Boateng, Gregoire Marty, Malachi Mooney-Rivkin, Avery Brock, Stanley M. Krześniak, and Samuel Zuniga. Brainstack – a platform for artificial intelligence & machine learning collaborative experiments on a nano-satellite. In 37th Annual Small Satellite Conference Proceedings, Logan, Utah, 2023. NASA Ames Research Center, SmallSat Organization. Document ID: 20230011460, Report/Patent Number: SSC23-X-03, Public Use Permitted. NASA, Earth Science and Remote Sensing Unit, Johnson Space Center [2012] NASA, Earth Science and Remote Sensing Unit, Johnson Space Center. Image ISS031-E-148504 taken on June 23, 2012. https://eol.jsc.nasa.gov/SearchPhotos/photo.pl?mission=ISS031&roll=E&frame=148504, 2012. Accessed on: December 6, 2020. Oberright [2002] John E Oberright. Nanosatellite science applications. Smaller Satellites: Bigger Business? Concepts, Applications and Markets for Micro/Nanosatellites in a New Information World, pages 83–91, 2002. Ortiz et al. [2023] Flor Ortiz, Victor Monzon Baeza, Luis M. Garces-Socarras, Juan A. Vásquez-Peralvo, Jorge L. Gonzalez, Gianluca Fontanesi, Eva Lagunas, Jorge Querol, and Symeon Chatzinotas. Onboard processing in satellite communications using ai accelerators. Aerospace, 10(2), 2023. Rad et al. [2023] Ioan Octavian Rad, Ramon Maria Garcia Alarcia, Sascha Dengler, Alessandro Golkar, and Chiara Manfletti. Preliminary evaluation of commercial off-the-shelf gpus for machine learning applications in space. 2023. Rodriguez-Ferrandez et al. [2022] Ivan Rodriguez-Ferrandez, Maris Tali, Leonidas Kosmidis, Marta Rovituso, and David Steenari. Sources of single event effects in the nvidia xavier soc family under proton irradiation. 2022 IEEE 28th International Symposium on On-Line Testing and Robust System Design (IOLTS), 2022. Seltzer [1994] Stephen M Seltzer. Updated calculations for routine space-shielding radiation dose estimates: Shieldose-2. 1994. Selva and Krejci [2012] Daniel Selva and David Krejci. A survey and assessment of the capabilities of cubesats for earth observation. Acta Astronautica, 74:50–68, 2012. Sendamarai et al. [2016] P. Sendamarai, M. N. Giri Prasad, S. Madhava Prabhu, and K. N. Nagesh. A cdf based lifting scheme for the satellite image compression. 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC), 2016. Slater et al. [2020] Windy S Slater, Nayana P Tiwari, Tyler M Lovelly, and Jesse K Mee. Total ionizing dose radiation testing of nvidia jetson nano gpus. In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. Zhang et al. [2018] Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. Vasileios Leon, George Lentaris, Evangelos Petrongonas, Dimitrios Soudris, Gianluca Furano, Antonis Tavoularis, and David Moloney. Improving performance-power-programmability in space avionics with edge devices: Vbn on myriad2 soc. ACM Transactions on Embedded Computing Systems (TECS), 20(3):1–23, 2021. Lofqvist and Cano [2020] Martina Lofqvist and José Cano. Accelerating deep learning applications in space. arXiv preprint arXiv:2007.11089, 2020. Murbach et al. [2023] Marcus S. Murbach, Eric Barszcz, L. Seth Schisler, Alejandro J. Salas, Kwabena Boateng, Gregoire Marty, Malachi Mooney-Rivkin, Avery Brock, Stanley M. Krześniak, and Samuel Zuniga. Brainstack – a platform for artificial intelligence & machine learning collaborative experiments on a nano-satellite. In 37th Annual Small Satellite Conference Proceedings, Logan, Utah, 2023. NASA Ames Research Center, SmallSat Organization. Document ID: 20230011460, Report/Patent Number: SSC23-X-03, Public Use Permitted. NASA, Earth Science and Remote Sensing Unit, Johnson Space Center [2012] NASA, Earth Science and Remote Sensing Unit, Johnson Space Center. Image ISS031-E-148504 taken on June 23, 2012. https://eol.jsc.nasa.gov/SearchPhotos/photo.pl?mission=ISS031&roll=E&frame=148504, 2012. Accessed on: December 6, 2020. Oberright [2002] John E Oberright. Nanosatellite science applications. Smaller Satellites: Bigger Business? Concepts, Applications and Markets for Micro/Nanosatellites in a New Information World, pages 83–91, 2002. Ortiz et al. [2023] Flor Ortiz, Victor Monzon Baeza, Luis M. Garces-Socarras, Juan A. Vásquez-Peralvo, Jorge L. Gonzalez, Gianluca Fontanesi, Eva Lagunas, Jorge Querol, and Symeon Chatzinotas. Onboard processing in satellite communications using ai accelerators. Aerospace, 10(2), 2023. Rad et al. [2023] Ioan Octavian Rad, Ramon Maria Garcia Alarcia, Sascha Dengler, Alessandro Golkar, and Chiara Manfletti. Preliminary evaluation of commercial off-the-shelf gpus for machine learning applications in space. 2023. Rodriguez-Ferrandez et al. [2022] Ivan Rodriguez-Ferrandez, Maris Tali, Leonidas Kosmidis, Marta Rovituso, and David Steenari. Sources of single event effects in the nvidia xavier soc family under proton irradiation. 2022 IEEE 28th International Symposium on On-Line Testing and Robust System Design (IOLTS), 2022. Seltzer [1994] Stephen M Seltzer. Updated calculations for routine space-shielding radiation dose estimates: Shieldose-2. 1994. Selva and Krejci [2012] Daniel Selva and David Krejci. A survey and assessment of the capabilities of cubesats for earth observation. Acta Astronautica, 74:50–68, 2012. Sendamarai et al. [2016] P. Sendamarai, M. N. Giri Prasad, S. Madhava Prabhu, and K. N. Nagesh. A cdf based lifting scheme for the satellite image compression. 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC), 2016. Slater et al. [2020] Windy S Slater, Nayana P Tiwari, Tyler M Lovelly, and Jesse K Mee. Total ionizing dose radiation testing of nvidia jetson nano gpus. In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. Zhang et al. [2018] Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. Martina Lofqvist and José Cano. Accelerating deep learning applications in space. arXiv preprint arXiv:2007.11089, 2020. Murbach et al. [2023] Marcus S. Murbach, Eric Barszcz, L. Seth Schisler, Alejandro J. Salas, Kwabena Boateng, Gregoire Marty, Malachi Mooney-Rivkin, Avery Brock, Stanley M. Krześniak, and Samuel Zuniga. Brainstack – a platform for artificial intelligence & machine learning collaborative experiments on a nano-satellite. In 37th Annual Small Satellite Conference Proceedings, Logan, Utah, 2023. NASA Ames Research Center, SmallSat Organization. Document ID: 20230011460, Report/Patent Number: SSC23-X-03, Public Use Permitted. NASA, Earth Science and Remote Sensing Unit, Johnson Space Center [2012] NASA, Earth Science and Remote Sensing Unit, Johnson Space Center. Image ISS031-E-148504 taken on June 23, 2012. https://eol.jsc.nasa.gov/SearchPhotos/photo.pl?mission=ISS031&roll=E&frame=148504, 2012. Accessed on: December 6, 2020. Oberright [2002] John E Oberright. Nanosatellite science applications. Smaller Satellites: Bigger Business? Concepts, Applications and Markets for Micro/Nanosatellites in a New Information World, pages 83–91, 2002. Ortiz et al. [2023] Flor Ortiz, Victor Monzon Baeza, Luis M. Garces-Socarras, Juan A. Vásquez-Peralvo, Jorge L. Gonzalez, Gianluca Fontanesi, Eva Lagunas, Jorge Querol, and Symeon Chatzinotas. Onboard processing in satellite communications using ai accelerators. Aerospace, 10(2), 2023. Rad et al. [2023] Ioan Octavian Rad, Ramon Maria Garcia Alarcia, Sascha Dengler, Alessandro Golkar, and Chiara Manfletti. Preliminary evaluation of commercial off-the-shelf gpus for machine learning applications in space. 2023. Rodriguez-Ferrandez et al. [2022] Ivan Rodriguez-Ferrandez, Maris Tali, Leonidas Kosmidis, Marta Rovituso, and David Steenari. Sources of single event effects in the nvidia xavier soc family under proton irradiation. 2022 IEEE 28th International Symposium on On-Line Testing and Robust System Design (IOLTS), 2022. Seltzer [1994] Stephen M Seltzer. Updated calculations for routine space-shielding radiation dose estimates: Shieldose-2. 1994. Selva and Krejci [2012] Daniel Selva and David Krejci. A survey and assessment of the capabilities of cubesats for earth observation. Acta Astronautica, 74:50–68, 2012. Sendamarai et al. [2016] P. Sendamarai, M. N. Giri Prasad, S. Madhava Prabhu, and K. N. Nagesh. A cdf based lifting scheme for the satellite image compression. 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC), 2016. Slater et al. [2020] Windy S Slater, Nayana P Tiwari, Tyler M Lovelly, and Jesse K Mee. Total ionizing dose radiation testing of nvidia jetson nano gpus. In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. Zhang et al. [2018] Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. Marcus S. Murbach, Eric Barszcz, L. Seth Schisler, Alejandro J. Salas, Kwabena Boateng, Gregoire Marty, Malachi Mooney-Rivkin, Avery Brock, Stanley M. Krześniak, and Samuel Zuniga. Brainstack – a platform for artificial intelligence & machine learning collaborative experiments on a nano-satellite. In 37th Annual Small Satellite Conference Proceedings, Logan, Utah, 2023. NASA Ames Research Center, SmallSat Organization. Document ID: 20230011460, Report/Patent Number: SSC23-X-03, Public Use Permitted. NASA, Earth Science and Remote Sensing Unit, Johnson Space Center [2012] NASA, Earth Science and Remote Sensing Unit, Johnson Space Center. Image ISS031-E-148504 taken on June 23, 2012. https://eol.jsc.nasa.gov/SearchPhotos/photo.pl?mission=ISS031&roll=E&frame=148504, 2012. Accessed on: December 6, 2020. Oberright [2002] John E Oberright. Nanosatellite science applications. Smaller Satellites: Bigger Business? Concepts, Applications and Markets for Micro/Nanosatellites in a New Information World, pages 83–91, 2002. Ortiz et al. [2023] Flor Ortiz, Victor Monzon Baeza, Luis M. Garces-Socarras, Juan A. Vásquez-Peralvo, Jorge L. Gonzalez, Gianluca Fontanesi, Eva Lagunas, Jorge Querol, and Symeon Chatzinotas. Onboard processing in satellite communications using ai accelerators. Aerospace, 10(2), 2023. Rad et al. [2023] Ioan Octavian Rad, Ramon Maria Garcia Alarcia, Sascha Dengler, Alessandro Golkar, and Chiara Manfletti. Preliminary evaluation of commercial off-the-shelf gpus for machine learning applications in space. 2023. Rodriguez-Ferrandez et al. [2022] Ivan Rodriguez-Ferrandez, Maris Tali, Leonidas Kosmidis, Marta Rovituso, and David Steenari. Sources of single event effects in the nvidia xavier soc family under proton irradiation. 2022 IEEE 28th International Symposium on On-Line Testing and Robust System Design (IOLTS), 2022. Seltzer [1994] Stephen M Seltzer. Updated calculations for routine space-shielding radiation dose estimates: Shieldose-2. 1994. Selva and Krejci [2012] Daniel Selva and David Krejci. A survey and assessment of the capabilities of cubesats for earth observation. Acta Astronautica, 74:50–68, 2012. Sendamarai et al. [2016] P. Sendamarai, M. N. Giri Prasad, S. Madhava Prabhu, and K. N. Nagesh. A cdf based lifting scheme for the satellite image compression. 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC), 2016. Slater et al. [2020] Windy S Slater, Nayana P Tiwari, Tyler M Lovelly, and Jesse K Mee. Total ionizing dose radiation testing of nvidia jetson nano gpus. In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. Zhang et al. [2018] Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. NASA, Earth Science and Remote Sensing Unit, Johnson Space Center. Image ISS031-E-148504 taken on June 23, 2012. https://eol.jsc.nasa.gov/SearchPhotos/photo.pl?mission=ISS031&roll=E&frame=148504, 2012. Accessed on: December 6, 2020. Oberright [2002] John E Oberright. Nanosatellite science applications. Smaller Satellites: Bigger Business? Concepts, Applications and Markets for Micro/Nanosatellites in a New Information World, pages 83–91, 2002. Ortiz et al. [2023] Flor Ortiz, Victor Monzon Baeza, Luis M. Garces-Socarras, Juan A. Vásquez-Peralvo, Jorge L. Gonzalez, Gianluca Fontanesi, Eva Lagunas, Jorge Querol, and Symeon Chatzinotas. Onboard processing in satellite communications using ai accelerators. Aerospace, 10(2), 2023. Rad et al. [2023] Ioan Octavian Rad, Ramon Maria Garcia Alarcia, Sascha Dengler, Alessandro Golkar, and Chiara Manfletti. Preliminary evaluation of commercial off-the-shelf gpus for machine learning applications in space. 2023. Rodriguez-Ferrandez et al. [2022] Ivan Rodriguez-Ferrandez, Maris Tali, Leonidas Kosmidis, Marta Rovituso, and David Steenari. Sources of single event effects in the nvidia xavier soc family under proton irradiation. 2022 IEEE 28th International Symposium on On-Line Testing and Robust System Design (IOLTS), 2022. Seltzer [1994] Stephen M Seltzer. Updated calculations for routine space-shielding radiation dose estimates: Shieldose-2. 1994. Selva and Krejci [2012] Daniel Selva and David Krejci. A survey and assessment of the capabilities of cubesats for earth observation. Acta Astronautica, 74:50–68, 2012. Sendamarai et al. [2016] P. Sendamarai, M. N. Giri Prasad, S. Madhava Prabhu, and K. N. Nagesh. A cdf based lifting scheme for the satellite image compression. 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC), 2016. Slater et al. [2020] Windy S Slater, Nayana P Tiwari, Tyler M Lovelly, and Jesse K Mee. Total ionizing dose radiation testing of nvidia jetson nano gpus. In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. Zhang et al. [2018] Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. John E Oberright. Nanosatellite science applications. Smaller Satellites: Bigger Business? Concepts, Applications and Markets for Micro/Nanosatellites in a New Information World, pages 83–91, 2002. Ortiz et al. [2023] Flor Ortiz, Victor Monzon Baeza, Luis M. Garces-Socarras, Juan A. Vásquez-Peralvo, Jorge L. Gonzalez, Gianluca Fontanesi, Eva Lagunas, Jorge Querol, and Symeon Chatzinotas. Onboard processing in satellite communications using ai accelerators. Aerospace, 10(2), 2023. Rad et al. [2023] Ioan Octavian Rad, Ramon Maria Garcia Alarcia, Sascha Dengler, Alessandro Golkar, and Chiara Manfletti. Preliminary evaluation of commercial off-the-shelf gpus for machine learning applications in space. 2023. Rodriguez-Ferrandez et al. [2022] Ivan Rodriguez-Ferrandez, Maris Tali, Leonidas Kosmidis, Marta Rovituso, and David Steenari. Sources of single event effects in the nvidia xavier soc family under proton irradiation. 2022 IEEE 28th International Symposium on On-Line Testing and Robust System Design (IOLTS), 2022. Seltzer [1994] Stephen M Seltzer. Updated calculations for routine space-shielding radiation dose estimates: Shieldose-2. 1994. Selva and Krejci [2012] Daniel Selva and David Krejci. A survey and assessment of the capabilities of cubesats for earth observation. Acta Astronautica, 74:50–68, 2012. Sendamarai et al. [2016] P. Sendamarai, M. N. Giri Prasad, S. Madhava Prabhu, and K. N. Nagesh. A cdf based lifting scheme for the satellite image compression. 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC), 2016. Slater et al. [2020] Windy S Slater, Nayana P Tiwari, Tyler M Lovelly, and Jesse K Mee. Total ionizing dose radiation testing of nvidia jetson nano gpus. In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. Zhang et al. [2018] Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. Flor Ortiz, Victor Monzon Baeza, Luis M. Garces-Socarras, Juan A. Vásquez-Peralvo, Jorge L. Gonzalez, Gianluca Fontanesi, Eva Lagunas, Jorge Querol, and Symeon Chatzinotas. Onboard processing in satellite communications using ai accelerators. Aerospace, 10(2), 2023. Rad et al. [2023] Ioan Octavian Rad, Ramon Maria Garcia Alarcia, Sascha Dengler, Alessandro Golkar, and Chiara Manfletti. Preliminary evaluation of commercial off-the-shelf gpus for machine learning applications in space. 2023. Rodriguez-Ferrandez et al. [2022] Ivan Rodriguez-Ferrandez, Maris Tali, Leonidas Kosmidis, Marta Rovituso, and David Steenari. Sources of single event effects in the nvidia xavier soc family under proton irradiation. 2022 IEEE 28th International Symposium on On-Line Testing and Robust System Design (IOLTS), 2022. Seltzer [1994] Stephen M Seltzer. Updated calculations for routine space-shielding radiation dose estimates: Shieldose-2. 1994. Selva and Krejci [2012] Daniel Selva and David Krejci. A survey and assessment of the capabilities of cubesats for earth observation. Acta Astronautica, 74:50–68, 2012. Sendamarai et al. [2016] P. Sendamarai, M. N. Giri Prasad, S. Madhava Prabhu, and K. N. Nagesh. A cdf based lifting scheme for the satellite image compression. 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC), 2016. Slater et al. [2020] Windy S Slater, Nayana P Tiwari, Tyler M Lovelly, and Jesse K Mee. Total ionizing dose radiation testing of nvidia jetson nano gpus. In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. Zhang et al. [2018] Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. Ioan Octavian Rad, Ramon Maria Garcia Alarcia, Sascha Dengler, Alessandro Golkar, and Chiara Manfletti. Preliminary evaluation of commercial off-the-shelf gpus for machine learning applications in space. 2023. Rodriguez-Ferrandez et al. [2022] Ivan Rodriguez-Ferrandez, Maris Tali, Leonidas Kosmidis, Marta Rovituso, and David Steenari. Sources of single event effects in the nvidia xavier soc family under proton irradiation. 2022 IEEE 28th International Symposium on On-Line Testing and Robust System Design (IOLTS), 2022. Seltzer [1994] Stephen M Seltzer. Updated calculations for routine space-shielding radiation dose estimates: Shieldose-2. 1994. Selva and Krejci [2012] Daniel Selva and David Krejci. A survey and assessment of the capabilities of cubesats for earth observation. Acta Astronautica, 74:50–68, 2012. Sendamarai et al. [2016] P. Sendamarai, M. N. Giri Prasad, S. Madhava Prabhu, and K. N. Nagesh. A cdf based lifting scheme for the satellite image compression. 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC), 2016. Slater et al. [2020] Windy S Slater, Nayana P Tiwari, Tyler M Lovelly, and Jesse K Mee. Total ionizing dose radiation testing of nvidia jetson nano gpus. In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. Zhang et al. [2018] Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. 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A cdf based lifting scheme for the satellite image compression. 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC), 2016. Slater et al. [2020] Windy S Slater, Nayana P Tiwari, Tyler M Lovelly, and Jesse K Mee. Total ionizing dose radiation testing of nvidia jetson nano gpus. In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. Zhang et al. [2018] Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. Stephen M Seltzer. Updated calculations for routine space-shielding radiation dose estimates: Shieldose-2. 1994. Selva and Krejci [2012] Daniel Selva and David Krejci. A survey and assessment of the capabilities of cubesats for earth observation. Acta Astronautica, 74:50–68, 2012. Sendamarai et al. [2016] P. Sendamarai, M. N. Giri Prasad, S. Madhava Prabhu, and K. N. Nagesh. A cdf based lifting scheme for the satellite image compression. 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC), 2016. Slater et al. [2020] Windy S Slater, Nayana P Tiwari, Tyler M Lovelly, and Jesse K Mee. Total ionizing dose radiation testing of nvidia jetson nano gpus. In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. Zhang et al. [2018] Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. Daniel Selva and David Krejci. A survey and assessment of the capabilities of cubesats for earth observation. Acta Astronautica, 74:50–68, 2012. Sendamarai et al. [2016] P. Sendamarai, M. N. Giri Prasad, S. Madhava Prabhu, and K. N. Nagesh. A cdf based lifting scheme for the satellite image compression. 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC), 2016. Slater et al. [2020] Windy S Slater, Nayana P Tiwari, Tyler M Lovelly, and Jesse K Mee. Total ionizing dose radiation testing of nvidia jetson nano gpus. In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. Zhang et al. [2018] Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. 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Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. Windy S Slater, Nayana P Tiwari, Tyler M Lovelly, and Jesse K Mee. Total ionizing dose radiation testing of nvidia jetson nano gpus. In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. Zhang et al. [2018] Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. 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Updated calculations for routine space-shielding radiation dose estimates: Shieldose-2. 1994. Selva and Krejci [2012] Daniel Selva and David Krejci. A survey and assessment of the capabilities of cubesats for earth observation. Acta Astronautica, 74:50–68, 2012. Sendamarai et al. [2016] P. Sendamarai, M. N. Giri Prasad, S. Madhava Prabhu, and K. N. Nagesh. A cdf based lifting scheme for the satellite image compression. 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC), 2016. Slater et al. [2020] Windy S Slater, Nayana P Tiwari, Tyler M Lovelly, and Jesse K Mee. Total ionizing dose radiation testing of nvidia jetson nano gpus. In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. Zhang et al. [2018] Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. Gianluca Giuffrida, Luca Fanucci, Gabriele Meoni, Matej Batič, Léonie Buckley, Aubrey Dunne, Chris van Dijk, Marco Esposito, John Hefele, Nathan Vercruyssen, et al. The ϕitalic-ϕ\phiitalic_ϕ-sat-1 mission: The first on-board deep neural network demonstrator for satellite earth observation. IEEE Transactions on Geoscience and Remote Sensing, 60:1–14, 2021. Gutiérrez et al. [2023] Oscar Gutiérrez, Manuel Prieto, Alvaro Perales-Eceiza, Ali Ravanbakhsh, Mario Basile, and David Guzmán. Toward the use of electronic commercial off-the-shelf devices in space: Assessment of the true radiation environment in low earth orbit (leo). Electronics, 12(19):4058, 2023. Kothari et al. [2020] Vivek Kothari, Edgar Liberis, and Nicholas D. Lane. The final frontier: Deep learning in space, 2020. Kristiani et al. [2020] Endah Kristiani, Chao-Tung Yang, and Kieu Lan Phuong Nguyen. Optimization of deep learning inference on edge devices. In 2020 International Conference on Pervasive Artificial Intelligence (ICPAI), pages 264–267. IEEE, 2020. [16] Gareth Lawrence, Simon Reid, and Michel Kruglanski. Space environment information system: Applicability for mission design and operations. In SpaceOps 2010 Conference, page 045005. American Institute of Aeronautics and Astronautics. Leon et al. [2021] Vasileios Leon, George Lentaris, Evangelos Petrongonas, Dimitrios Soudris, Gianluca Furano, Antonis Tavoularis, and David Moloney. Improving performance-power-programmability in space avionics with edge devices: Vbn on myriad2 soc. ACM Transactions on Embedded Computing Systems (TECS), 20(3):1–23, 2021. Lofqvist and Cano [2020] Martina Lofqvist and José Cano. Accelerating deep learning applications in space. arXiv preprint arXiv:2007.11089, 2020. Murbach et al. [2023] Marcus S. Murbach, Eric Barszcz, L. Seth Schisler, Alejandro J. Salas, Kwabena Boateng, Gregoire Marty, Malachi Mooney-Rivkin, Avery Brock, Stanley M. Krześniak, and Samuel Zuniga. Brainstack – a platform for artificial intelligence & machine learning collaborative experiments on a nano-satellite. In 37th Annual Small Satellite Conference Proceedings, Logan, Utah, 2023. NASA Ames Research Center, SmallSat Organization. Document ID: 20230011460, Report/Patent Number: SSC23-X-03, Public Use Permitted. NASA, Earth Science and Remote Sensing Unit, Johnson Space Center [2012] NASA, Earth Science and Remote Sensing Unit, Johnson Space Center. Image ISS031-E-148504 taken on June 23, 2012. https://eol.jsc.nasa.gov/SearchPhotos/photo.pl?mission=ISS031&roll=E&frame=148504, 2012. Accessed on: December 6, 2020. Oberright [2002] John E Oberright. Nanosatellite science applications. Smaller Satellites: Bigger Business? Concepts, Applications and Markets for Micro/Nanosatellites in a New Information World, pages 83–91, 2002. Ortiz et al. [2023] Flor Ortiz, Victor Monzon Baeza, Luis M. Garces-Socarras, Juan A. Vásquez-Peralvo, Jorge L. Gonzalez, Gianluca Fontanesi, Eva Lagunas, Jorge Querol, and Symeon Chatzinotas. Onboard processing in satellite communications using ai accelerators. Aerospace, 10(2), 2023. Rad et al. [2023] Ioan Octavian Rad, Ramon Maria Garcia Alarcia, Sascha Dengler, Alessandro Golkar, and Chiara Manfletti. Preliminary evaluation of commercial off-the-shelf gpus for machine learning applications in space. 2023. Rodriguez-Ferrandez et al. [2022] Ivan Rodriguez-Ferrandez, Maris Tali, Leonidas Kosmidis, Marta Rovituso, and David Steenari. Sources of single event effects in the nvidia xavier soc family under proton irradiation. 2022 IEEE 28th International Symposium on On-Line Testing and Robust System Design (IOLTS), 2022. Seltzer [1994] Stephen M Seltzer. Updated calculations for routine space-shielding radiation dose estimates: Shieldose-2. 1994. Selva and Krejci [2012] Daniel Selva and David Krejci. A survey and assessment of the capabilities of cubesats for earth observation. Acta Astronautica, 74:50–68, 2012. Sendamarai et al. [2016] P. Sendamarai, M. N. Giri Prasad, S. Madhava Prabhu, and K. N. Nagesh. A cdf based lifting scheme for the satellite image compression. 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC), 2016. Slater et al. [2020] Windy S Slater, Nayana P Tiwari, Tyler M Lovelly, and Jesse K Mee. Total ionizing dose radiation testing of nvidia jetson nano gpus. In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. Zhang et al. [2018] Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. Oscar Gutiérrez, Manuel Prieto, Alvaro Perales-Eceiza, Ali Ravanbakhsh, Mario Basile, and David Guzmán. Toward the use of electronic commercial off-the-shelf devices in space: Assessment of the true radiation environment in low earth orbit (leo). Electronics, 12(19):4058, 2023. Kothari et al. [2020] Vivek Kothari, Edgar Liberis, and Nicholas D. Lane. The final frontier: Deep learning in space, 2020. Kristiani et al. [2020] Endah Kristiani, Chao-Tung Yang, and Kieu Lan Phuong Nguyen. Optimization of deep learning inference on edge devices. In 2020 International Conference on Pervasive Artificial Intelligence (ICPAI), pages 264–267. IEEE, 2020. [16] Gareth Lawrence, Simon Reid, and Michel Kruglanski. Space environment information system: Applicability for mission design and operations. In SpaceOps 2010 Conference, page 045005. American Institute of Aeronautics and Astronautics. Leon et al. [2021] Vasileios Leon, George Lentaris, Evangelos Petrongonas, Dimitrios Soudris, Gianluca Furano, Antonis Tavoularis, and David Moloney. Improving performance-power-programmability in space avionics with edge devices: Vbn on myriad2 soc. ACM Transactions on Embedded Computing Systems (TECS), 20(3):1–23, 2021. Lofqvist and Cano [2020] Martina Lofqvist and José Cano. Accelerating deep learning applications in space. arXiv preprint arXiv:2007.11089, 2020. Murbach et al. [2023] Marcus S. Murbach, Eric Barszcz, L. Seth Schisler, Alejandro J. Salas, Kwabena Boateng, Gregoire Marty, Malachi Mooney-Rivkin, Avery Brock, Stanley M. Krześniak, and Samuel Zuniga. Brainstack – a platform for artificial intelligence & machine learning collaborative experiments on a nano-satellite. In 37th Annual Small Satellite Conference Proceedings, Logan, Utah, 2023. NASA Ames Research Center, SmallSat Organization. Document ID: 20230011460, Report/Patent Number: SSC23-X-03, Public Use Permitted. NASA, Earth Science and Remote Sensing Unit, Johnson Space Center [2012] NASA, Earth Science and Remote Sensing Unit, Johnson Space Center. Image ISS031-E-148504 taken on June 23, 2012. https://eol.jsc.nasa.gov/SearchPhotos/photo.pl?mission=ISS031&roll=E&frame=148504, 2012. Accessed on: December 6, 2020. Oberright [2002] John E Oberright. Nanosatellite science applications. Smaller Satellites: Bigger Business? Concepts, Applications and Markets for Micro/Nanosatellites in a New Information World, pages 83–91, 2002. Ortiz et al. [2023] Flor Ortiz, Victor Monzon Baeza, Luis M. Garces-Socarras, Juan A. Vásquez-Peralvo, Jorge L. Gonzalez, Gianluca Fontanesi, Eva Lagunas, Jorge Querol, and Symeon Chatzinotas. Onboard processing in satellite communications using ai accelerators. Aerospace, 10(2), 2023. Rad et al. [2023] Ioan Octavian Rad, Ramon Maria Garcia Alarcia, Sascha Dengler, Alessandro Golkar, and Chiara Manfletti. Preliminary evaluation of commercial off-the-shelf gpus for machine learning applications in space. 2023. Rodriguez-Ferrandez et al. [2022] Ivan Rodriguez-Ferrandez, Maris Tali, Leonidas Kosmidis, Marta Rovituso, and David Steenari. Sources of single event effects in the nvidia xavier soc family under proton irradiation. 2022 IEEE 28th International Symposium on On-Line Testing and Robust System Design (IOLTS), 2022. Seltzer [1994] Stephen M Seltzer. Updated calculations for routine space-shielding radiation dose estimates: Shieldose-2. 1994. Selva and Krejci [2012] Daniel Selva and David Krejci. A survey and assessment of the capabilities of cubesats for earth observation. Acta Astronautica, 74:50–68, 2012. Sendamarai et al. [2016] P. Sendamarai, M. N. Giri Prasad, S. Madhava Prabhu, and K. N. Nagesh. A cdf based lifting scheme for the satellite image compression. 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC), 2016. Slater et al. [2020] Windy S Slater, Nayana P Tiwari, Tyler M Lovelly, and Jesse K Mee. Total ionizing dose radiation testing of nvidia jetson nano gpus. In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. Zhang et al. [2018] Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. Vivek Kothari, Edgar Liberis, and Nicholas D. Lane. The final frontier: Deep learning in space, 2020. Kristiani et al. [2020] Endah Kristiani, Chao-Tung Yang, and Kieu Lan Phuong Nguyen. Optimization of deep learning inference on edge devices. In 2020 International Conference on Pervasive Artificial Intelligence (ICPAI), pages 264–267. IEEE, 2020. [16] Gareth Lawrence, Simon Reid, and Michel Kruglanski. Space environment information system: Applicability for mission design and operations. In SpaceOps 2010 Conference, page 045005. American Institute of Aeronautics and Astronautics. Leon et al. [2021] Vasileios Leon, George Lentaris, Evangelos Petrongonas, Dimitrios Soudris, Gianluca Furano, Antonis Tavoularis, and David Moloney. Improving performance-power-programmability in space avionics with edge devices: Vbn on myriad2 soc. ACM Transactions on Embedded Computing Systems (TECS), 20(3):1–23, 2021. Lofqvist and Cano [2020] Martina Lofqvist and José Cano. Accelerating deep learning applications in space. arXiv preprint arXiv:2007.11089, 2020. Murbach et al. [2023] Marcus S. Murbach, Eric Barszcz, L. Seth Schisler, Alejandro J. Salas, Kwabena Boateng, Gregoire Marty, Malachi Mooney-Rivkin, Avery Brock, Stanley M. Krześniak, and Samuel Zuniga. Brainstack – a platform for artificial intelligence & machine learning collaborative experiments on a nano-satellite. In 37th Annual Small Satellite Conference Proceedings, Logan, Utah, 2023. NASA Ames Research Center, SmallSat Organization. Document ID: 20230011460, Report/Patent Number: SSC23-X-03, Public Use Permitted. NASA, Earth Science and Remote Sensing Unit, Johnson Space Center [2012] NASA, Earth Science and Remote Sensing Unit, Johnson Space Center. Image ISS031-E-148504 taken on June 23, 2012. https://eol.jsc.nasa.gov/SearchPhotos/photo.pl?mission=ISS031&roll=E&frame=148504, 2012. Accessed on: December 6, 2020. Oberright [2002] John E Oberright. Nanosatellite science applications. Smaller Satellites: Bigger Business? Concepts, Applications and Markets for Micro/Nanosatellites in a New Information World, pages 83–91, 2002. Ortiz et al. [2023] Flor Ortiz, Victor Monzon Baeza, Luis M. Garces-Socarras, Juan A. Vásquez-Peralvo, Jorge L. Gonzalez, Gianluca Fontanesi, Eva Lagunas, Jorge Querol, and Symeon Chatzinotas. Onboard processing in satellite communications using ai accelerators. Aerospace, 10(2), 2023. Rad et al. [2023] Ioan Octavian Rad, Ramon Maria Garcia Alarcia, Sascha Dengler, Alessandro Golkar, and Chiara Manfletti. Preliminary evaluation of commercial off-the-shelf gpus for machine learning applications in space. 2023. Rodriguez-Ferrandez et al. [2022] Ivan Rodriguez-Ferrandez, Maris Tali, Leonidas Kosmidis, Marta Rovituso, and David Steenari. Sources of single event effects in the nvidia xavier soc family under proton irradiation. 2022 IEEE 28th International Symposium on On-Line Testing and Robust System Design (IOLTS), 2022. Seltzer [1994] Stephen M Seltzer. Updated calculations for routine space-shielding radiation dose estimates: Shieldose-2. 1994. Selva and Krejci [2012] Daniel Selva and David Krejci. A survey and assessment of the capabilities of cubesats for earth observation. Acta Astronautica, 74:50–68, 2012. Sendamarai et al. [2016] P. Sendamarai, M. N. Giri Prasad, S. Madhava Prabhu, and K. N. Nagesh. A cdf based lifting scheme for the satellite image compression. 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC), 2016. Slater et al. [2020] Windy S Slater, Nayana P Tiwari, Tyler M Lovelly, and Jesse K Mee. Total ionizing dose radiation testing of nvidia jetson nano gpus. In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. Zhang et al. [2018] Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. Endah Kristiani, Chao-Tung Yang, and Kieu Lan Phuong Nguyen. Optimization of deep learning inference on edge devices. In 2020 International Conference on Pervasive Artificial Intelligence (ICPAI), pages 264–267. IEEE, 2020. [16] Gareth Lawrence, Simon Reid, and Michel Kruglanski. Space environment information system: Applicability for mission design and operations. In SpaceOps 2010 Conference, page 045005. American Institute of Aeronautics and Astronautics. Leon et al. [2021] Vasileios Leon, George Lentaris, Evangelos Petrongonas, Dimitrios Soudris, Gianluca Furano, Antonis Tavoularis, and David Moloney. Improving performance-power-programmability in space avionics with edge devices: Vbn on myriad2 soc. ACM Transactions on Embedded Computing Systems (TECS), 20(3):1–23, 2021. Lofqvist and Cano [2020] Martina Lofqvist and José Cano. Accelerating deep learning applications in space. arXiv preprint arXiv:2007.11089, 2020. Murbach et al. [2023] Marcus S. Murbach, Eric Barszcz, L. Seth Schisler, Alejandro J. Salas, Kwabena Boateng, Gregoire Marty, Malachi Mooney-Rivkin, Avery Brock, Stanley M. Krześniak, and Samuel Zuniga. Brainstack – a platform for artificial intelligence & machine learning collaborative experiments on a nano-satellite. In 37th Annual Small Satellite Conference Proceedings, Logan, Utah, 2023. NASA Ames Research Center, SmallSat Organization. Document ID: 20230011460, Report/Patent Number: SSC23-X-03, Public Use Permitted. NASA, Earth Science and Remote Sensing Unit, Johnson Space Center [2012] NASA, Earth Science and Remote Sensing Unit, Johnson Space Center. Image ISS031-E-148504 taken on June 23, 2012. https://eol.jsc.nasa.gov/SearchPhotos/photo.pl?mission=ISS031&roll=E&frame=148504, 2012. Accessed on: December 6, 2020. Oberright [2002] John E Oberright. Nanosatellite science applications. Smaller Satellites: Bigger Business? Concepts, Applications and Markets for Micro/Nanosatellites in a New Information World, pages 83–91, 2002. Ortiz et al. [2023] Flor Ortiz, Victor Monzon Baeza, Luis M. Garces-Socarras, Juan A. Vásquez-Peralvo, Jorge L. Gonzalez, Gianluca Fontanesi, Eva Lagunas, Jorge Querol, and Symeon Chatzinotas. Onboard processing in satellite communications using ai accelerators. Aerospace, 10(2), 2023. Rad et al. [2023] Ioan Octavian Rad, Ramon Maria Garcia Alarcia, Sascha Dengler, Alessandro Golkar, and Chiara Manfletti. Preliminary evaluation of commercial off-the-shelf gpus for machine learning applications in space. 2023. Rodriguez-Ferrandez et al. [2022] Ivan Rodriguez-Ferrandez, Maris Tali, Leonidas Kosmidis, Marta Rovituso, and David Steenari. Sources of single event effects in the nvidia xavier soc family under proton irradiation. 2022 IEEE 28th International Symposium on On-Line Testing and Robust System Design (IOLTS), 2022. Seltzer [1994] Stephen M Seltzer. Updated calculations for routine space-shielding radiation dose estimates: Shieldose-2. 1994. Selva and Krejci [2012] Daniel Selva and David Krejci. A survey and assessment of the capabilities of cubesats for earth observation. Acta Astronautica, 74:50–68, 2012. Sendamarai et al. [2016] P. Sendamarai, M. N. Giri Prasad, S. Madhava Prabhu, and K. N. Nagesh. A cdf based lifting scheme for the satellite image compression. 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC), 2016. Slater et al. [2020] Windy S Slater, Nayana P Tiwari, Tyler M Lovelly, and Jesse K Mee. Total ionizing dose radiation testing of nvidia jetson nano gpus. In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. Zhang et al. [2018] Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. Gareth Lawrence, Simon Reid, and Michel Kruglanski. Space environment information system: Applicability for mission design and operations. In SpaceOps 2010 Conference, page 045005. American Institute of Aeronautics and Astronautics. Leon et al. [2021] Vasileios Leon, George Lentaris, Evangelos Petrongonas, Dimitrios Soudris, Gianluca Furano, Antonis Tavoularis, and David Moloney. Improving performance-power-programmability in space avionics with edge devices: Vbn on myriad2 soc. ACM Transactions on Embedded Computing Systems (TECS), 20(3):1–23, 2021. Lofqvist and Cano [2020] Martina Lofqvist and José Cano. Accelerating deep learning applications in space. arXiv preprint arXiv:2007.11089, 2020. Murbach et al. [2023] Marcus S. Murbach, Eric Barszcz, L. Seth Schisler, Alejandro J. Salas, Kwabena Boateng, Gregoire Marty, Malachi Mooney-Rivkin, Avery Brock, Stanley M. Krześniak, and Samuel Zuniga. Brainstack – a platform for artificial intelligence & machine learning collaborative experiments on a nano-satellite. In 37th Annual Small Satellite Conference Proceedings, Logan, Utah, 2023. NASA Ames Research Center, SmallSat Organization. Document ID: 20230011460, Report/Patent Number: SSC23-X-03, Public Use Permitted. NASA, Earth Science and Remote Sensing Unit, Johnson Space Center [2012] NASA, Earth Science and Remote Sensing Unit, Johnson Space Center. Image ISS031-E-148504 taken on June 23, 2012. https://eol.jsc.nasa.gov/SearchPhotos/photo.pl?mission=ISS031&roll=E&frame=148504, 2012. Accessed on: December 6, 2020. Oberright [2002] John E Oberright. Nanosatellite science applications. Smaller Satellites: Bigger Business? Concepts, Applications and Markets for Micro/Nanosatellites in a New Information World, pages 83–91, 2002. Ortiz et al. [2023] Flor Ortiz, Victor Monzon Baeza, Luis M. Garces-Socarras, Juan A. Vásquez-Peralvo, Jorge L. Gonzalez, Gianluca Fontanesi, Eva Lagunas, Jorge Querol, and Symeon Chatzinotas. Onboard processing in satellite communications using ai accelerators. Aerospace, 10(2), 2023. Rad et al. [2023] Ioan Octavian Rad, Ramon Maria Garcia Alarcia, Sascha Dengler, Alessandro Golkar, and Chiara Manfletti. Preliminary evaluation of commercial off-the-shelf gpus for machine learning applications in space. 2023. Rodriguez-Ferrandez et al. [2022] Ivan Rodriguez-Ferrandez, Maris Tali, Leonidas Kosmidis, Marta Rovituso, and David Steenari. Sources of single event effects in the nvidia xavier soc family under proton irradiation. 2022 IEEE 28th International Symposium on On-Line Testing and Robust System Design (IOLTS), 2022. Seltzer [1994] Stephen M Seltzer. Updated calculations for routine space-shielding radiation dose estimates: Shieldose-2. 1994. Selva and Krejci [2012] Daniel Selva and David Krejci. A survey and assessment of the capabilities of cubesats for earth observation. Acta Astronautica, 74:50–68, 2012. Sendamarai et al. [2016] P. Sendamarai, M. N. Giri Prasad, S. Madhava Prabhu, and K. N. Nagesh. A cdf based lifting scheme for the satellite image compression. 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC), 2016. Slater et al. [2020] Windy S Slater, Nayana P Tiwari, Tyler M Lovelly, and Jesse K Mee. Total ionizing dose radiation testing of nvidia jetson nano gpus. In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. Zhang et al. [2018] Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. Vasileios Leon, George Lentaris, Evangelos Petrongonas, Dimitrios Soudris, Gianluca Furano, Antonis Tavoularis, and David Moloney. Improving performance-power-programmability in space avionics with edge devices: Vbn on myriad2 soc. ACM Transactions on Embedded Computing Systems (TECS), 20(3):1–23, 2021. Lofqvist and Cano [2020] Martina Lofqvist and José Cano. Accelerating deep learning applications in space. arXiv preprint arXiv:2007.11089, 2020. Murbach et al. [2023] Marcus S. Murbach, Eric Barszcz, L. Seth Schisler, Alejandro J. Salas, Kwabena Boateng, Gregoire Marty, Malachi Mooney-Rivkin, Avery Brock, Stanley M. Krześniak, and Samuel Zuniga. Brainstack – a platform for artificial intelligence & machine learning collaborative experiments on a nano-satellite. In 37th Annual Small Satellite Conference Proceedings, Logan, Utah, 2023. NASA Ames Research Center, SmallSat Organization. Document ID: 20230011460, Report/Patent Number: SSC23-X-03, Public Use Permitted. NASA, Earth Science and Remote Sensing Unit, Johnson Space Center [2012] NASA, Earth Science and Remote Sensing Unit, Johnson Space Center. Image ISS031-E-148504 taken on June 23, 2012. https://eol.jsc.nasa.gov/SearchPhotos/photo.pl?mission=ISS031&roll=E&frame=148504, 2012. Accessed on: December 6, 2020. Oberright [2002] John E Oberright. Nanosatellite science applications. Smaller Satellites: Bigger Business? Concepts, Applications and Markets for Micro/Nanosatellites in a New Information World, pages 83–91, 2002. Ortiz et al. [2023] Flor Ortiz, Victor Monzon Baeza, Luis M. Garces-Socarras, Juan A. Vásquez-Peralvo, Jorge L. Gonzalez, Gianluca Fontanesi, Eva Lagunas, Jorge Querol, and Symeon Chatzinotas. Onboard processing in satellite communications using ai accelerators. Aerospace, 10(2), 2023. Rad et al. [2023] Ioan Octavian Rad, Ramon Maria Garcia Alarcia, Sascha Dengler, Alessandro Golkar, and Chiara Manfletti. Preliminary evaluation of commercial off-the-shelf gpus for machine learning applications in space. 2023. Rodriguez-Ferrandez et al. [2022] Ivan Rodriguez-Ferrandez, Maris Tali, Leonidas Kosmidis, Marta Rovituso, and David Steenari. Sources of single event effects in the nvidia xavier soc family under proton irradiation. 2022 IEEE 28th International Symposium on On-Line Testing and Robust System Design (IOLTS), 2022. Seltzer [1994] Stephen M Seltzer. Updated calculations for routine space-shielding radiation dose estimates: Shieldose-2. 1994. Selva and Krejci [2012] Daniel Selva and David Krejci. A survey and assessment of the capabilities of cubesats for earth observation. Acta Astronautica, 74:50–68, 2012. Sendamarai et al. [2016] P. Sendamarai, M. N. Giri Prasad, S. Madhava Prabhu, and K. N. Nagesh. A cdf based lifting scheme for the satellite image compression. 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC), 2016. Slater et al. [2020] Windy S Slater, Nayana P Tiwari, Tyler M Lovelly, and Jesse K Mee. Total ionizing dose radiation testing of nvidia jetson nano gpus. In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. Zhang et al. [2018] Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. Martina Lofqvist and José Cano. Accelerating deep learning applications in space. arXiv preprint arXiv:2007.11089, 2020. Murbach et al. [2023] Marcus S. Murbach, Eric Barszcz, L. Seth Schisler, Alejandro J. Salas, Kwabena Boateng, Gregoire Marty, Malachi Mooney-Rivkin, Avery Brock, Stanley M. Krześniak, and Samuel Zuniga. Brainstack – a platform for artificial intelligence & machine learning collaborative experiments on a nano-satellite. In 37th Annual Small Satellite Conference Proceedings, Logan, Utah, 2023. NASA Ames Research Center, SmallSat Organization. Document ID: 20230011460, Report/Patent Number: SSC23-X-03, Public Use Permitted. NASA, Earth Science and Remote Sensing Unit, Johnson Space Center [2012] NASA, Earth Science and Remote Sensing Unit, Johnson Space Center. Image ISS031-E-148504 taken on June 23, 2012. https://eol.jsc.nasa.gov/SearchPhotos/photo.pl?mission=ISS031&roll=E&frame=148504, 2012. Accessed on: December 6, 2020. Oberright [2002] John E Oberright. Nanosatellite science applications. Smaller Satellites: Bigger Business? Concepts, Applications and Markets for Micro/Nanosatellites in a New Information World, pages 83–91, 2002. Ortiz et al. [2023] Flor Ortiz, Victor Monzon Baeza, Luis M. Garces-Socarras, Juan A. Vásquez-Peralvo, Jorge L. Gonzalez, Gianluca Fontanesi, Eva Lagunas, Jorge Querol, and Symeon Chatzinotas. Onboard processing in satellite communications using ai accelerators. Aerospace, 10(2), 2023. Rad et al. [2023] Ioan Octavian Rad, Ramon Maria Garcia Alarcia, Sascha Dengler, Alessandro Golkar, and Chiara Manfletti. Preliminary evaluation of commercial off-the-shelf gpus for machine learning applications in space. 2023. Rodriguez-Ferrandez et al. [2022] Ivan Rodriguez-Ferrandez, Maris Tali, Leonidas Kosmidis, Marta Rovituso, and David Steenari. Sources of single event effects in the nvidia xavier soc family under proton irradiation. 2022 IEEE 28th International Symposium on On-Line Testing and Robust System Design (IOLTS), 2022. Seltzer [1994] Stephen M Seltzer. Updated calculations for routine space-shielding radiation dose estimates: Shieldose-2. 1994. Selva and Krejci [2012] Daniel Selva and David Krejci. A survey and assessment of the capabilities of cubesats for earth observation. Acta Astronautica, 74:50–68, 2012. Sendamarai et al. [2016] P. Sendamarai, M. N. Giri Prasad, S. Madhava Prabhu, and K. N. Nagesh. A cdf based lifting scheme for the satellite image compression. 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC), 2016. Slater et al. [2020] Windy S Slater, Nayana P Tiwari, Tyler M Lovelly, and Jesse K Mee. Total ionizing dose radiation testing of nvidia jetson nano gpus. In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. Zhang et al. [2018] Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. Marcus S. Murbach, Eric Barszcz, L. Seth Schisler, Alejandro J. Salas, Kwabena Boateng, Gregoire Marty, Malachi Mooney-Rivkin, Avery Brock, Stanley M. Krześniak, and Samuel Zuniga. Brainstack – a platform for artificial intelligence & machine learning collaborative experiments on a nano-satellite. In 37th Annual Small Satellite Conference Proceedings, Logan, Utah, 2023. NASA Ames Research Center, SmallSat Organization. Document ID: 20230011460, Report/Patent Number: SSC23-X-03, Public Use Permitted. NASA, Earth Science and Remote Sensing Unit, Johnson Space Center [2012] NASA, Earth Science and Remote Sensing Unit, Johnson Space Center. Image ISS031-E-148504 taken on June 23, 2012. https://eol.jsc.nasa.gov/SearchPhotos/photo.pl?mission=ISS031&roll=E&frame=148504, 2012. Accessed on: December 6, 2020. Oberright [2002] John E Oberright. Nanosatellite science applications. Smaller Satellites: Bigger Business? Concepts, Applications and Markets for Micro/Nanosatellites in a New Information World, pages 83–91, 2002. Ortiz et al. [2023] Flor Ortiz, Victor Monzon Baeza, Luis M. Garces-Socarras, Juan A. Vásquez-Peralvo, Jorge L. Gonzalez, Gianluca Fontanesi, Eva Lagunas, Jorge Querol, and Symeon Chatzinotas. Onboard processing in satellite communications using ai accelerators. Aerospace, 10(2), 2023. Rad et al. [2023] Ioan Octavian Rad, Ramon Maria Garcia Alarcia, Sascha Dengler, Alessandro Golkar, and Chiara Manfletti. Preliminary evaluation of commercial off-the-shelf gpus for machine learning applications in space. 2023. Rodriguez-Ferrandez et al. [2022] Ivan Rodriguez-Ferrandez, Maris Tali, Leonidas Kosmidis, Marta Rovituso, and David Steenari. Sources of single event effects in the nvidia xavier soc family under proton irradiation. 2022 IEEE 28th International Symposium on On-Line Testing and Robust System Design (IOLTS), 2022. Seltzer [1994] Stephen M Seltzer. Updated calculations for routine space-shielding radiation dose estimates: Shieldose-2. 1994. Selva and Krejci [2012] Daniel Selva and David Krejci. A survey and assessment of the capabilities of cubesats for earth observation. Acta Astronautica, 74:50–68, 2012. Sendamarai et al. [2016] P. Sendamarai, M. N. Giri Prasad, S. Madhava Prabhu, and K. N. Nagesh. A cdf based lifting scheme for the satellite image compression. 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC), 2016. Slater et al. [2020] Windy S Slater, Nayana P Tiwari, Tyler M Lovelly, and Jesse K Mee. Total ionizing dose radiation testing of nvidia jetson nano gpus. In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. Zhang et al. [2018] Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. NASA, Earth Science and Remote Sensing Unit, Johnson Space Center. Image ISS031-E-148504 taken on June 23, 2012. https://eol.jsc.nasa.gov/SearchPhotos/photo.pl?mission=ISS031&roll=E&frame=148504, 2012. Accessed on: December 6, 2020. Oberright [2002] John E Oberright. Nanosatellite science applications. Smaller Satellites: Bigger Business? Concepts, Applications and Markets for Micro/Nanosatellites in a New Information World, pages 83–91, 2002. Ortiz et al. [2023] Flor Ortiz, Victor Monzon Baeza, Luis M. Garces-Socarras, Juan A. Vásquez-Peralvo, Jorge L. Gonzalez, Gianluca Fontanesi, Eva Lagunas, Jorge Querol, and Symeon Chatzinotas. Onboard processing in satellite communications using ai accelerators. Aerospace, 10(2), 2023. Rad et al. [2023] Ioan Octavian Rad, Ramon Maria Garcia Alarcia, Sascha Dengler, Alessandro Golkar, and Chiara Manfletti. Preliminary evaluation of commercial off-the-shelf gpus for machine learning applications in space. 2023. Rodriguez-Ferrandez et al. [2022] Ivan Rodriguez-Ferrandez, Maris Tali, Leonidas Kosmidis, Marta Rovituso, and David Steenari. Sources of single event effects in the nvidia xavier soc family under proton irradiation. 2022 IEEE 28th International Symposium on On-Line Testing and Robust System Design (IOLTS), 2022. Seltzer [1994] Stephen M Seltzer. Updated calculations for routine space-shielding radiation dose estimates: Shieldose-2. 1994. Selva and Krejci [2012] Daniel Selva and David Krejci. A survey and assessment of the capabilities of cubesats for earth observation. Acta Astronautica, 74:50–68, 2012. Sendamarai et al. [2016] P. Sendamarai, M. N. Giri Prasad, S. Madhava Prabhu, and K. N. Nagesh. A cdf based lifting scheme for the satellite image compression. 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC), 2016. Slater et al. [2020] Windy S Slater, Nayana P Tiwari, Tyler M Lovelly, and Jesse K Mee. Total ionizing dose radiation testing of nvidia jetson nano gpus. In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. Zhang et al. [2018] Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. John E Oberright. Nanosatellite science applications. Smaller Satellites: Bigger Business? Concepts, Applications and Markets for Micro/Nanosatellites in a New Information World, pages 83–91, 2002. Ortiz et al. [2023] Flor Ortiz, Victor Monzon Baeza, Luis M. Garces-Socarras, Juan A. Vásquez-Peralvo, Jorge L. Gonzalez, Gianluca Fontanesi, Eva Lagunas, Jorge Querol, and Symeon Chatzinotas. Onboard processing in satellite communications using ai accelerators. Aerospace, 10(2), 2023. Rad et al. [2023] Ioan Octavian Rad, Ramon Maria Garcia Alarcia, Sascha Dengler, Alessandro Golkar, and Chiara Manfletti. Preliminary evaluation of commercial off-the-shelf gpus for machine learning applications in space. 2023. Rodriguez-Ferrandez et al. [2022] Ivan Rodriguez-Ferrandez, Maris Tali, Leonidas Kosmidis, Marta Rovituso, and David Steenari. Sources of single event effects in the nvidia xavier soc family under proton irradiation. 2022 IEEE 28th International Symposium on On-Line Testing and Robust System Design (IOLTS), 2022. Seltzer [1994] Stephen M Seltzer. Updated calculations for routine space-shielding radiation dose estimates: Shieldose-2. 1994. Selva and Krejci [2012] Daniel Selva and David Krejci. A survey and assessment of the capabilities of cubesats for earth observation. Acta Astronautica, 74:50–68, 2012. Sendamarai et al. [2016] P. Sendamarai, M. N. Giri Prasad, S. Madhava Prabhu, and K. N. Nagesh. A cdf based lifting scheme for the satellite image compression. 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC), 2016. Slater et al. [2020] Windy S Slater, Nayana P Tiwari, Tyler M Lovelly, and Jesse K Mee. Total ionizing dose radiation testing of nvidia jetson nano gpus. In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. Zhang et al. [2018] Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. Flor Ortiz, Victor Monzon Baeza, Luis M. Garces-Socarras, Juan A. Vásquez-Peralvo, Jorge L. Gonzalez, Gianluca Fontanesi, Eva Lagunas, Jorge Querol, and Symeon Chatzinotas. Onboard processing in satellite communications using ai accelerators. Aerospace, 10(2), 2023. Rad et al. [2023] Ioan Octavian Rad, Ramon Maria Garcia Alarcia, Sascha Dengler, Alessandro Golkar, and Chiara Manfletti. Preliminary evaluation of commercial off-the-shelf gpus for machine learning applications in space. 2023. Rodriguez-Ferrandez et al. [2022] Ivan Rodriguez-Ferrandez, Maris Tali, Leonidas Kosmidis, Marta Rovituso, and David Steenari. Sources of single event effects in the nvidia xavier soc family under proton irradiation. 2022 IEEE 28th International Symposium on On-Line Testing and Robust System Design (IOLTS), 2022. Seltzer [1994] Stephen M Seltzer. Updated calculations for routine space-shielding radiation dose estimates: Shieldose-2. 1994. Selva and Krejci [2012] Daniel Selva and David Krejci. A survey and assessment of the capabilities of cubesats for earth observation. 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Ioan Octavian Rad, Ramon Maria Garcia Alarcia, Sascha Dengler, Alessandro Golkar, and Chiara Manfletti. Preliminary evaluation of commercial off-the-shelf gpus for machine learning applications in space. 2023. Rodriguez-Ferrandez et al. [2022] Ivan Rodriguez-Ferrandez, Maris Tali, Leonidas Kosmidis, Marta Rovituso, and David Steenari. Sources of single event effects in the nvidia xavier soc family under proton irradiation. 2022 IEEE 28th International Symposium on On-Line Testing and Robust System Design (IOLTS), 2022. Seltzer [1994] Stephen M Seltzer. Updated calculations for routine space-shielding radiation dose estimates: Shieldose-2. 1994. Selva and Krejci [2012] Daniel Selva and David Krejci. A survey and assessment of the capabilities of cubesats for earth observation. Acta Astronautica, 74:50–68, 2012. Sendamarai et al. [2016] P. Sendamarai, M. N. Giri Prasad, S. Madhava Prabhu, and K. N. Nagesh. 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Sources of single event effects in the nvidia xavier soc family under proton irradiation. 2022 IEEE 28th International Symposium on On-Line Testing and Robust System Design (IOLTS), 2022. Seltzer [1994] Stephen M Seltzer. Updated calculations for routine space-shielding radiation dose estimates: Shieldose-2. 1994. Selva and Krejci [2012] Daniel Selva and David Krejci. A survey and assessment of the capabilities of cubesats for earth observation. Acta Astronautica, 74:50–68, 2012. Sendamarai et al. [2016] P. Sendamarai, M. N. Giri Prasad, S. Madhava Prabhu, and K. N. Nagesh. A cdf based lifting scheme for the satellite image compression. 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC), 2016. Slater et al. [2020] Windy S Slater, Nayana P Tiwari, Tyler M Lovelly, and Jesse K Mee. Total ionizing dose radiation testing of nvidia jetson nano gpus. In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. Zhang et al. 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A cdf based lifting scheme for the satellite image compression. 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC), 2016. Slater et al. [2020] Windy S Slater, Nayana P Tiwari, Tyler M Lovelly, and Jesse K Mee. Total ionizing dose radiation testing of nvidia jetson nano gpus. In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. Zhang et al. [2018] Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. P. Sendamarai, M. N. Giri Prasad, S. Madhava Prabhu, and K. N. Nagesh. 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In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. Zhang et al. [2018] Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021.
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Toward the use of electronic commercial off-the-shelf devices in space: Assessment of the true radiation environment in low earth orbit (leo). Electronics, 12(19):4058, 2023. Kothari et al. [2020] Vivek Kothari, Edgar Liberis, and Nicholas D. Lane. The final frontier: Deep learning in space, 2020. Kristiani et al. [2020] Endah Kristiani, Chao-Tung Yang, and Kieu Lan Phuong Nguyen. Optimization of deep learning inference on edge devices. In 2020 International Conference on Pervasive Artificial Intelligence (ICPAI), pages 264–267. IEEE, 2020. [16] Gareth Lawrence, Simon Reid, and Michel Kruglanski. Space environment information system: Applicability for mission design and operations. In SpaceOps 2010 Conference, page 045005. American Institute of Aeronautics and Astronautics. Leon et al. [2021] Vasileios Leon, George Lentaris, Evangelos Petrongonas, Dimitrios Soudris, Gianluca Furano, Antonis Tavoularis, and David Moloney. Improving performance-power-programmability in space avionics with edge devices: Vbn on myriad2 soc. ACM Transactions on Embedded Computing Systems (TECS), 20(3):1–23, 2021. Lofqvist and Cano [2020] Martina Lofqvist and José Cano. Accelerating deep learning applications in space. arXiv preprint arXiv:2007.11089, 2020. Murbach et al. [2023] Marcus S. Murbach, Eric Barszcz, L. Seth Schisler, Alejandro J. Salas, Kwabena Boateng, Gregoire Marty, Malachi Mooney-Rivkin, Avery Brock, Stanley M. Krześniak, and Samuel Zuniga. Brainstack – a platform for artificial intelligence & machine learning collaborative experiments on a nano-satellite. In 37th Annual Small Satellite Conference Proceedings, Logan, Utah, 2023. NASA Ames Research Center, SmallSat Organization. Document ID: 20230011460, Report/Patent Number: SSC23-X-03, Public Use Permitted. NASA, Earth Science and Remote Sensing Unit, Johnson Space Center [2012] NASA, Earth Science and Remote Sensing Unit, Johnson Space Center. Image ISS031-E-148504 taken on June 23, 2012. https://eol.jsc.nasa.gov/SearchPhotos/photo.pl?mission=ISS031&roll=E&frame=148504, 2012. Accessed on: December 6, 2020. Oberright [2002] John E Oberright. Nanosatellite science applications. Smaller Satellites: Bigger Business? Concepts, Applications and Markets for Micro/Nanosatellites in a New Information World, pages 83–91, 2002. Ortiz et al. [2023] Flor Ortiz, Victor Monzon Baeza, Luis M. Garces-Socarras, Juan A. Vásquez-Peralvo, Jorge L. Gonzalez, Gianluca Fontanesi, Eva Lagunas, Jorge Querol, and Symeon Chatzinotas. Onboard processing in satellite communications using ai accelerators. Aerospace, 10(2), 2023. Rad et al. [2023] Ioan Octavian Rad, Ramon Maria Garcia Alarcia, Sascha Dengler, Alessandro Golkar, and Chiara Manfletti. Preliminary evaluation of commercial off-the-shelf gpus for machine learning applications in space. 2023. Rodriguez-Ferrandez et al. [2022] Ivan Rodriguez-Ferrandez, Maris Tali, Leonidas Kosmidis, Marta Rovituso, and David Steenari. Sources of single event effects in the nvidia xavier soc family under proton irradiation. 2022 IEEE 28th International Symposium on On-Line Testing and Robust System Design (IOLTS), 2022. Seltzer [1994] Stephen M Seltzer. Updated calculations for routine space-shielding radiation dose estimates: Shieldose-2. 1994. Selva and Krejci [2012] Daniel Selva and David Krejci. A survey and assessment of the capabilities of cubesats for earth observation. Acta Astronautica, 74:50–68, 2012. Sendamarai et al. [2016] P. Sendamarai, M. N. Giri Prasad, S. Madhava Prabhu, and K. N. Nagesh. A cdf based lifting scheme for the satellite image compression. 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC), 2016. Slater et al. [2020] Windy S Slater, Nayana P Tiwari, Tyler M Lovelly, and Jesse K Mee. Total ionizing dose radiation testing of nvidia jetson nano gpus. In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. Zhang et al. [2018] Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. Vivek Kothari, Edgar Liberis, and Nicholas D. Lane. The final frontier: Deep learning in space, 2020. Kristiani et al. [2020] Endah Kristiani, Chao-Tung Yang, and Kieu Lan Phuong Nguyen. Optimization of deep learning inference on edge devices. In 2020 International Conference on Pervasive Artificial Intelligence (ICPAI), pages 264–267. IEEE, 2020. [16] Gareth Lawrence, Simon Reid, and Michel Kruglanski. Space environment information system: Applicability for mission design and operations. In SpaceOps 2010 Conference, page 045005. American Institute of Aeronautics and Astronautics. Leon et al. [2021] Vasileios Leon, George Lentaris, Evangelos Petrongonas, Dimitrios Soudris, Gianluca Furano, Antonis Tavoularis, and David Moloney. Improving performance-power-programmability in space avionics with edge devices: Vbn on myriad2 soc. ACM Transactions on Embedded Computing Systems (TECS), 20(3):1–23, 2021. Lofqvist and Cano [2020] Martina Lofqvist and José Cano. Accelerating deep learning applications in space. arXiv preprint arXiv:2007.11089, 2020. Murbach et al. [2023] Marcus S. Murbach, Eric Barszcz, L. Seth Schisler, Alejandro J. Salas, Kwabena Boateng, Gregoire Marty, Malachi Mooney-Rivkin, Avery Brock, Stanley M. Krześniak, and Samuel Zuniga. Brainstack – a platform for artificial intelligence & machine learning collaborative experiments on a nano-satellite. In 37th Annual Small Satellite Conference Proceedings, Logan, Utah, 2023. NASA Ames Research Center, SmallSat Organization. Document ID: 20230011460, Report/Patent Number: SSC23-X-03, Public Use Permitted. NASA, Earth Science and Remote Sensing Unit, Johnson Space Center [2012] NASA, Earth Science and Remote Sensing Unit, Johnson Space Center. Image ISS031-E-148504 taken on June 23, 2012. https://eol.jsc.nasa.gov/SearchPhotos/photo.pl?mission=ISS031&roll=E&frame=148504, 2012. Accessed on: December 6, 2020. Oberright [2002] John E Oberright. Nanosatellite science applications. Smaller Satellites: Bigger Business? Concepts, Applications and Markets for Micro/Nanosatellites in a New Information World, pages 83–91, 2002. Ortiz et al. [2023] Flor Ortiz, Victor Monzon Baeza, Luis M. Garces-Socarras, Juan A. Vásquez-Peralvo, Jorge L. Gonzalez, Gianluca Fontanesi, Eva Lagunas, Jorge Querol, and Symeon Chatzinotas. Onboard processing in satellite communications using ai accelerators. Aerospace, 10(2), 2023. Rad et al. [2023] Ioan Octavian Rad, Ramon Maria Garcia Alarcia, Sascha Dengler, Alessandro Golkar, and Chiara Manfletti. Preliminary evaluation of commercial off-the-shelf gpus for machine learning applications in space. 2023. Rodriguez-Ferrandez et al. [2022] Ivan Rodriguez-Ferrandez, Maris Tali, Leonidas Kosmidis, Marta Rovituso, and David Steenari. Sources of single event effects in the nvidia xavier soc family under proton irradiation. 2022 IEEE 28th International Symposium on On-Line Testing and Robust System Design (IOLTS), 2022. Seltzer [1994] Stephen M Seltzer. Updated calculations for routine space-shielding radiation dose estimates: Shieldose-2. 1994. Selva and Krejci [2012] Daniel Selva and David Krejci. A survey and assessment of the capabilities of cubesats for earth observation. Acta Astronautica, 74:50–68, 2012. Sendamarai et al. [2016] P. Sendamarai, M. N. Giri Prasad, S. Madhava Prabhu, and K. N. Nagesh. A cdf based lifting scheme for the satellite image compression. 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC), 2016. Slater et al. [2020] Windy S Slater, Nayana P Tiwari, Tyler M Lovelly, and Jesse K Mee. Total ionizing dose radiation testing of nvidia jetson nano gpus. In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. Zhang et al. [2018] Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. Endah Kristiani, Chao-Tung Yang, and Kieu Lan Phuong Nguyen. Optimization of deep learning inference on edge devices. In 2020 International Conference on Pervasive Artificial Intelligence (ICPAI), pages 264–267. IEEE, 2020. [16] Gareth Lawrence, Simon Reid, and Michel Kruglanski. Space environment information system: Applicability for mission design and operations. In SpaceOps 2010 Conference, page 045005. American Institute of Aeronautics and Astronautics. Leon et al. [2021] Vasileios Leon, George Lentaris, Evangelos Petrongonas, Dimitrios Soudris, Gianluca Furano, Antonis Tavoularis, and David Moloney. Improving performance-power-programmability in space avionics with edge devices: Vbn on myriad2 soc. ACM Transactions on Embedded Computing Systems (TECS), 20(3):1–23, 2021. Lofqvist and Cano [2020] Martina Lofqvist and José Cano. Accelerating deep learning applications in space. arXiv preprint arXiv:2007.11089, 2020. Murbach et al. [2023] Marcus S. Murbach, Eric Barszcz, L. Seth Schisler, Alejandro J. Salas, Kwabena Boateng, Gregoire Marty, Malachi Mooney-Rivkin, Avery Brock, Stanley M. Krześniak, and Samuel Zuniga. Brainstack – a platform for artificial intelligence & machine learning collaborative experiments on a nano-satellite. In 37th Annual Small Satellite Conference Proceedings, Logan, Utah, 2023. NASA Ames Research Center, SmallSat Organization. Document ID: 20230011460, Report/Patent Number: SSC23-X-03, Public Use Permitted. NASA, Earth Science and Remote Sensing Unit, Johnson Space Center [2012] NASA, Earth Science and Remote Sensing Unit, Johnson Space Center. Image ISS031-E-148504 taken on June 23, 2012. https://eol.jsc.nasa.gov/SearchPhotos/photo.pl?mission=ISS031&roll=E&frame=148504, 2012. Accessed on: December 6, 2020. Oberright [2002] John E Oberright. Nanosatellite science applications. Smaller Satellites: Bigger Business? Concepts, Applications and Markets for Micro/Nanosatellites in a New Information World, pages 83–91, 2002. Ortiz et al. [2023] Flor Ortiz, Victor Monzon Baeza, Luis M. Garces-Socarras, Juan A. Vásquez-Peralvo, Jorge L. Gonzalez, Gianluca Fontanesi, Eva Lagunas, Jorge Querol, and Symeon Chatzinotas. Onboard processing in satellite communications using ai accelerators. Aerospace, 10(2), 2023. Rad et al. [2023] Ioan Octavian Rad, Ramon Maria Garcia Alarcia, Sascha Dengler, Alessandro Golkar, and Chiara Manfletti. Preliminary evaluation of commercial off-the-shelf gpus for machine learning applications in space. 2023. Rodriguez-Ferrandez et al. [2022] Ivan Rodriguez-Ferrandez, Maris Tali, Leonidas Kosmidis, Marta Rovituso, and David Steenari. Sources of single event effects in the nvidia xavier soc family under proton irradiation. 2022 IEEE 28th International Symposium on On-Line Testing and Robust System Design (IOLTS), 2022. Seltzer [1994] Stephen M Seltzer. Updated calculations for routine space-shielding radiation dose estimates: Shieldose-2. 1994. Selva and Krejci [2012] Daniel Selva and David Krejci. A survey and assessment of the capabilities of cubesats for earth observation. Acta Astronautica, 74:50–68, 2012. Sendamarai et al. [2016] P. Sendamarai, M. N. Giri Prasad, S. Madhava Prabhu, and K. N. Nagesh. A cdf based lifting scheme for the satellite image compression. 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC), 2016. Slater et al. [2020] Windy S Slater, Nayana P Tiwari, Tyler M Lovelly, and Jesse K Mee. Total ionizing dose radiation testing of nvidia jetson nano gpus. In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. Zhang et al. [2018] Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. Gareth Lawrence, Simon Reid, and Michel Kruglanski. Space environment information system: Applicability for mission design and operations. In SpaceOps 2010 Conference, page 045005. American Institute of Aeronautics and Astronautics. Leon et al. [2021] Vasileios Leon, George Lentaris, Evangelos Petrongonas, Dimitrios Soudris, Gianluca Furano, Antonis Tavoularis, and David Moloney. Improving performance-power-programmability in space avionics with edge devices: Vbn on myriad2 soc. ACM Transactions on Embedded Computing Systems (TECS), 20(3):1–23, 2021. Lofqvist and Cano [2020] Martina Lofqvist and José Cano. Accelerating deep learning applications in space. arXiv preprint arXiv:2007.11089, 2020. Murbach et al. [2023] Marcus S. Murbach, Eric Barszcz, L. Seth Schisler, Alejandro J. Salas, Kwabena Boateng, Gregoire Marty, Malachi Mooney-Rivkin, Avery Brock, Stanley M. Krześniak, and Samuel Zuniga. Brainstack – a platform for artificial intelligence & machine learning collaborative experiments on a nano-satellite. In 37th Annual Small Satellite Conference Proceedings, Logan, Utah, 2023. NASA Ames Research Center, SmallSat Organization. Document ID: 20230011460, Report/Patent Number: SSC23-X-03, Public Use Permitted. NASA, Earth Science and Remote Sensing Unit, Johnson Space Center [2012] NASA, Earth Science and Remote Sensing Unit, Johnson Space Center. Image ISS031-E-148504 taken on June 23, 2012. https://eol.jsc.nasa.gov/SearchPhotos/photo.pl?mission=ISS031&roll=E&frame=148504, 2012. Accessed on: December 6, 2020. Oberright [2002] John E Oberright. Nanosatellite science applications. Smaller Satellites: Bigger Business? Concepts, Applications and Markets for Micro/Nanosatellites in a New Information World, pages 83–91, 2002. Ortiz et al. [2023] Flor Ortiz, Victor Monzon Baeza, Luis M. Garces-Socarras, Juan A. Vásquez-Peralvo, Jorge L. Gonzalez, Gianluca Fontanesi, Eva Lagunas, Jorge Querol, and Symeon Chatzinotas. Onboard processing in satellite communications using ai accelerators. Aerospace, 10(2), 2023. Rad et al. [2023] Ioan Octavian Rad, Ramon Maria Garcia Alarcia, Sascha Dengler, Alessandro Golkar, and Chiara Manfletti. Preliminary evaluation of commercial off-the-shelf gpus for machine learning applications in space. 2023. Rodriguez-Ferrandez et al. [2022] Ivan Rodriguez-Ferrandez, Maris Tali, Leonidas Kosmidis, Marta Rovituso, and David Steenari. Sources of single event effects in the nvidia xavier soc family under proton irradiation. 2022 IEEE 28th International Symposium on On-Line Testing and Robust System Design (IOLTS), 2022. Seltzer [1994] Stephen M Seltzer. Updated calculations for routine space-shielding radiation dose estimates: Shieldose-2. 1994. Selva and Krejci [2012] Daniel Selva and David Krejci. A survey and assessment of the capabilities of cubesats for earth observation. Acta Astronautica, 74:50–68, 2012. Sendamarai et al. [2016] P. Sendamarai, M. N. Giri Prasad, S. Madhava Prabhu, and K. N. Nagesh. A cdf based lifting scheme for the satellite image compression. 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC), 2016. Slater et al. [2020] Windy S Slater, Nayana P Tiwari, Tyler M Lovelly, and Jesse K Mee. Total ionizing dose radiation testing of nvidia jetson nano gpus. In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. Zhang et al. [2018] Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. Vasileios Leon, George Lentaris, Evangelos Petrongonas, Dimitrios Soudris, Gianluca Furano, Antonis Tavoularis, and David Moloney. Improving performance-power-programmability in space avionics with edge devices: Vbn on myriad2 soc. ACM Transactions on Embedded Computing Systems (TECS), 20(3):1–23, 2021. Lofqvist and Cano [2020] Martina Lofqvist and José Cano. Accelerating deep learning applications in space. arXiv preprint arXiv:2007.11089, 2020. Murbach et al. [2023] Marcus S. Murbach, Eric Barszcz, L. Seth Schisler, Alejandro J. Salas, Kwabena Boateng, Gregoire Marty, Malachi Mooney-Rivkin, Avery Brock, Stanley M. Krześniak, and Samuel Zuniga. Brainstack – a platform for artificial intelligence & machine learning collaborative experiments on a nano-satellite. In 37th Annual Small Satellite Conference Proceedings, Logan, Utah, 2023. NASA Ames Research Center, SmallSat Organization. Document ID: 20230011460, Report/Patent Number: SSC23-X-03, Public Use Permitted. NASA, Earth Science and Remote Sensing Unit, Johnson Space Center [2012] NASA, Earth Science and Remote Sensing Unit, Johnson Space Center. Image ISS031-E-148504 taken on June 23, 2012. https://eol.jsc.nasa.gov/SearchPhotos/photo.pl?mission=ISS031&roll=E&frame=148504, 2012. Accessed on: December 6, 2020. Oberright [2002] John E Oberright. Nanosatellite science applications. Smaller Satellites: Bigger Business? Concepts, Applications and Markets for Micro/Nanosatellites in a New Information World, pages 83–91, 2002. Ortiz et al. [2023] Flor Ortiz, Victor Monzon Baeza, Luis M. Garces-Socarras, Juan A. Vásquez-Peralvo, Jorge L. Gonzalez, Gianluca Fontanesi, Eva Lagunas, Jorge Querol, and Symeon Chatzinotas. Onboard processing in satellite communications using ai accelerators. Aerospace, 10(2), 2023. Rad et al. [2023] Ioan Octavian Rad, Ramon Maria Garcia Alarcia, Sascha Dengler, Alessandro Golkar, and Chiara Manfletti. Preliminary evaluation of commercial off-the-shelf gpus for machine learning applications in space. 2023. Rodriguez-Ferrandez et al. [2022] Ivan Rodriguez-Ferrandez, Maris Tali, Leonidas Kosmidis, Marta Rovituso, and David Steenari. Sources of single event effects in the nvidia xavier soc family under proton irradiation. 2022 IEEE 28th International Symposium on On-Line Testing and Robust System Design (IOLTS), 2022. Seltzer [1994] Stephen M Seltzer. Updated calculations for routine space-shielding radiation dose estimates: Shieldose-2. 1994. Selva and Krejci [2012] Daniel Selva and David Krejci. A survey and assessment of the capabilities of cubesats for earth observation. Acta Astronautica, 74:50–68, 2012. Sendamarai et al. [2016] P. Sendamarai, M. N. Giri Prasad, S. Madhava Prabhu, and K. N. Nagesh. A cdf based lifting scheme for the satellite image compression. 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC), 2016. Slater et al. [2020] Windy S Slater, Nayana P Tiwari, Tyler M Lovelly, and Jesse K Mee. Total ionizing dose radiation testing of nvidia jetson nano gpus. In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. Zhang et al. [2018] Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. Martina Lofqvist and José Cano. Accelerating deep learning applications in space. arXiv preprint arXiv:2007.11089, 2020. Murbach et al. [2023] Marcus S. Murbach, Eric Barszcz, L. Seth Schisler, Alejandro J. Salas, Kwabena Boateng, Gregoire Marty, Malachi Mooney-Rivkin, Avery Brock, Stanley M. Krześniak, and Samuel Zuniga. Brainstack – a platform for artificial intelligence & machine learning collaborative experiments on a nano-satellite. In 37th Annual Small Satellite Conference Proceedings, Logan, Utah, 2023. NASA Ames Research Center, SmallSat Organization. Document ID: 20230011460, Report/Patent Number: SSC23-X-03, Public Use Permitted. NASA, Earth Science and Remote Sensing Unit, Johnson Space Center [2012] NASA, Earth Science and Remote Sensing Unit, Johnson Space Center. Image ISS031-E-148504 taken on June 23, 2012. https://eol.jsc.nasa.gov/SearchPhotos/photo.pl?mission=ISS031&roll=E&frame=148504, 2012. Accessed on: December 6, 2020. Oberright [2002] John E Oberright. Nanosatellite science applications. Smaller Satellites: Bigger Business? Concepts, Applications and Markets for Micro/Nanosatellites in a New Information World, pages 83–91, 2002. Ortiz et al. [2023] Flor Ortiz, Victor Monzon Baeza, Luis M. Garces-Socarras, Juan A. Vásquez-Peralvo, Jorge L. Gonzalez, Gianluca Fontanesi, Eva Lagunas, Jorge Querol, and Symeon Chatzinotas. Onboard processing in satellite communications using ai accelerators. Aerospace, 10(2), 2023. Rad et al. [2023] Ioan Octavian Rad, Ramon Maria Garcia Alarcia, Sascha Dengler, Alessandro Golkar, and Chiara Manfletti. Preliminary evaluation of commercial off-the-shelf gpus for machine learning applications in space. 2023. Rodriguez-Ferrandez et al. [2022] Ivan Rodriguez-Ferrandez, Maris Tali, Leonidas Kosmidis, Marta Rovituso, and David Steenari. Sources of single event effects in the nvidia xavier soc family under proton irradiation. 2022 IEEE 28th International Symposium on On-Line Testing and Robust System Design (IOLTS), 2022. Seltzer [1994] Stephen M Seltzer. Updated calculations for routine space-shielding radiation dose estimates: Shieldose-2. 1994. Selva and Krejci [2012] Daniel Selva and David Krejci. A survey and assessment of the capabilities of cubesats for earth observation. Acta Astronautica, 74:50–68, 2012. Sendamarai et al. [2016] P. Sendamarai, M. N. Giri Prasad, S. Madhava Prabhu, and K. N. Nagesh. A cdf based lifting scheme for the satellite image compression. 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC), 2016. Slater et al. [2020] Windy S Slater, Nayana P Tiwari, Tyler M Lovelly, and Jesse K Mee. Total ionizing dose radiation testing of nvidia jetson nano gpus. In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. Zhang et al. [2018] Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. Marcus S. Murbach, Eric Barszcz, L. Seth Schisler, Alejandro J. Salas, Kwabena Boateng, Gregoire Marty, Malachi Mooney-Rivkin, Avery Brock, Stanley M. Krześniak, and Samuel Zuniga. Brainstack – a platform for artificial intelligence & machine learning collaborative experiments on a nano-satellite. In 37th Annual Small Satellite Conference Proceedings, Logan, Utah, 2023. NASA Ames Research Center, SmallSat Organization. Document ID: 20230011460, Report/Patent Number: SSC23-X-03, Public Use Permitted. NASA, Earth Science and Remote Sensing Unit, Johnson Space Center [2012] NASA, Earth Science and Remote Sensing Unit, Johnson Space Center. Image ISS031-E-148504 taken on June 23, 2012. https://eol.jsc.nasa.gov/SearchPhotos/photo.pl?mission=ISS031&roll=E&frame=148504, 2012. Accessed on: December 6, 2020. Oberright [2002] John E Oberright. Nanosatellite science applications. Smaller Satellites: Bigger Business? Concepts, Applications and Markets for Micro/Nanosatellites in a New Information World, pages 83–91, 2002. Ortiz et al. [2023] Flor Ortiz, Victor Monzon Baeza, Luis M. Garces-Socarras, Juan A. Vásquez-Peralvo, Jorge L. Gonzalez, Gianluca Fontanesi, Eva Lagunas, Jorge Querol, and Symeon Chatzinotas. Onboard processing in satellite communications using ai accelerators. Aerospace, 10(2), 2023. Rad et al. [2023] Ioan Octavian Rad, Ramon Maria Garcia Alarcia, Sascha Dengler, Alessandro Golkar, and Chiara Manfletti. Preliminary evaluation of commercial off-the-shelf gpus for machine learning applications in space. 2023. Rodriguez-Ferrandez et al. [2022] Ivan Rodriguez-Ferrandez, Maris Tali, Leonidas Kosmidis, Marta Rovituso, and David Steenari. Sources of single event effects in the nvidia xavier soc family under proton irradiation. 2022 IEEE 28th International Symposium on On-Line Testing and Robust System Design (IOLTS), 2022. Seltzer [1994] Stephen M Seltzer. Updated calculations for routine space-shielding radiation dose estimates: Shieldose-2. 1994. Selva and Krejci [2012] Daniel Selva and David Krejci. A survey and assessment of the capabilities of cubesats for earth observation. Acta Astronautica, 74:50–68, 2012. Sendamarai et al. [2016] P. Sendamarai, M. N. Giri Prasad, S. Madhava Prabhu, and K. N. Nagesh. A cdf based lifting scheme for the satellite image compression. 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC), 2016. Slater et al. [2020] Windy S Slater, Nayana P Tiwari, Tyler M Lovelly, and Jesse K Mee. Total ionizing dose radiation testing of nvidia jetson nano gpus. In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. Zhang et al. [2018] Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. NASA, Earth Science and Remote Sensing Unit, Johnson Space Center. Image ISS031-E-148504 taken on June 23, 2012. https://eol.jsc.nasa.gov/SearchPhotos/photo.pl?mission=ISS031&roll=E&frame=148504, 2012. Accessed on: December 6, 2020. Oberright [2002] John E Oberright. Nanosatellite science applications. Smaller Satellites: Bigger Business? Concepts, Applications and Markets for Micro/Nanosatellites in a New Information World, pages 83–91, 2002. Ortiz et al. [2023] Flor Ortiz, Victor Monzon Baeza, Luis M. Garces-Socarras, Juan A. Vásquez-Peralvo, Jorge L. Gonzalez, Gianluca Fontanesi, Eva Lagunas, Jorge Querol, and Symeon Chatzinotas. Onboard processing in satellite communications using ai accelerators. Aerospace, 10(2), 2023. Rad et al. [2023] Ioan Octavian Rad, Ramon Maria Garcia Alarcia, Sascha Dengler, Alessandro Golkar, and Chiara Manfletti. Preliminary evaluation of commercial off-the-shelf gpus for machine learning applications in space. 2023. Rodriguez-Ferrandez et al. [2022] Ivan Rodriguez-Ferrandez, Maris Tali, Leonidas Kosmidis, Marta Rovituso, and David Steenari. Sources of single event effects in the nvidia xavier soc family under proton irradiation. 2022 IEEE 28th International Symposium on On-Line Testing and Robust System Design (IOLTS), 2022. Seltzer [1994] Stephen M Seltzer. Updated calculations for routine space-shielding radiation dose estimates: Shieldose-2. 1994. Selva and Krejci [2012] Daniel Selva and David Krejci. A survey and assessment of the capabilities of cubesats for earth observation. Acta Astronautica, 74:50–68, 2012. Sendamarai et al. [2016] P. Sendamarai, M. N. Giri Prasad, S. Madhava Prabhu, and K. N. Nagesh. A cdf based lifting scheme for the satellite image compression. 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC), 2016. Slater et al. [2020] Windy S Slater, Nayana P Tiwari, Tyler M Lovelly, and Jesse K Mee. Total ionizing dose radiation testing of nvidia jetson nano gpus. In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. Zhang et al. [2018] Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. John E Oberright. Nanosatellite science applications. Smaller Satellites: Bigger Business? Concepts, Applications and Markets for Micro/Nanosatellites in a New Information World, pages 83–91, 2002. Ortiz et al. [2023] Flor Ortiz, Victor Monzon Baeza, Luis M. Garces-Socarras, Juan A. Vásquez-Peralvo, Jorge L. Gonzalez, Gianluca Fontanesi, Eva Lagunas, Jorge Querol, and Symeon Chatzinotas. Onboard processing in satellite communications using ai accelerators. Aerospace, 10(2), 2023. Rad et al. [2023] Ioan Octavian Rad, Ramon Maria Garcia Alarcia, Sascha Dengler, Alessandro Golkar, and Chiara Manfletti. Preliminary evaluation of commercial off-the-shelf gpus for machine learning applications in space. 2023. Rodriguez-Ferrandez et al. [2022] Ivan Rodriguez-Ferrandez, Maris Tali, Leonidas Kosmidis, Marta Rovituso, and David Steenari. Sources of single event effects in the nvidia xavier soc family under proton irradiation. 2022 IEEE 28th International Symposium on On-Line Testing and Robust System Design (IOLTS), 2022. Seltzer [1994] Stephen M Seltzer. Updated calculations for routine space-shielding radiation dose estimates: Shieldose-2. 1994. Selva and Krejci [2012] Daniel Selva and David Krejci. A survey and assessment of the capabilities of cubesats for earth observation. Acta Astronautica, 74:50–68, 2012. Sendamarai et al. [2016] P. Sendamarai, M. N. Giri Prasad, S. Madhava Prabhu, and K. N. Nagesh. A cdf based lifting scheme for the satellite image compression. 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC), 2016. Slater et al. [2020] Windy S Slater, Nayana P Tiwari, Tyler M Lovelly, and Jesse K Mee. Total ionizing dose radiation testing of nvidia jetson nano gpus. In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. Zhang et al. [2018] Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. Flor Ortiz, Victor Monzon Baeza, Luis M. Garces-Socarras, Juan A. Vásquez-Peralvo, Jorge L. Gonzalez, Gianluca Fontanesi, Eva Lagunas, Jorge Querol, and Symeon Chatzinotas. Onboard processing in satellite communications using ai accelerators. Aerospace, 10(2), 2023. Rad et al. [2023] Ioan Octavian Rad, Ramon Maria Garcia Alarcia, Sascha Dengler, Alessandro Golkar, and Chiara Manfletti. Preliminary evaluation of commercial off-the-shelf gpus for machine learning applications in space. 2023. Rodriguez-Ferrandez et al. [2022] Ivan Rodriguez-Ferrandez, Maris Tali, Leonidas Kosmidis, Marta Rovituso, and David Steenari. Sources of single event effects in the nvidia xavier soc family under proton irradiation. 2022 IEEE 28th International Symposium on On-Line Testing and Robust System Design (IOLTS), 2022. Seltzer [1994] Stephen M Seltzer. Updated calculations for routine space-shielding radiation dose estimates: Shieldose-2. 1994. Selva and Krejci [2012] Daniel Selva and David Krejci. A survey and assessment of the capabilities of cubesats for earth observation. Acta Astronautica, 74:50–68, 2012. Sendamarai et al. [2016] P. Sendamarai, M. N. Giri Prasad, S. Madhava Prabhu, and K. N. Nagesh. A cdf based lifting scheme for the satellite image compression. 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC), 2016. Slater et al. [2020] Windy S Slater, Nayana P Tiwari, Tyler M Lovelly, and Jesse K Mee. Total ionizing dose radiation testing of nvidia jetson nano gpus. In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. Zhang et al. [2018] Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. Ioan Octavian Rad, Ramon Maria Garcia Alarcia, Sascha Dengler, Alessandro Golkar, and Chiara Manfletti. Preliminary evaluation of commercial off-the-shelf gpus for machine learning applications in space. 2023. Rodriguez-Ferrandez et al. [2022] Ivan Rodriguez-Ferrandez, Maris Tali, Leonidas Kosmidis, Marta Rovituso, and David Steenari. Sources of single event effects in the nvidia xavier soc family under proton irradiation. 2022 IEEE 28th International Symposium on On-Line Testing and Robust System Design (IOLTS), 2022. Seltzer [1994] Stephen M Seltzer. Updated calculations for routine space-shielding radiation dose estimates: Shieldose-2. 1994. Selva and Krejci [2012] Daniel Selva and David Krejci. A survey and assessment of the capabilities of cubesats for earth observation. Acta Astronautica, 74:50–68, 2012. Sendamarai et al. [2016] P. Sendamarai, M. N. Giri Prasad, S. Madhava Prabhu, and K. N. Nagesh. A cdf based lifting scheme for the satellite image compression. 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC), 2016. Slater et al. [2020] Windy S Slater, Nayana P Tiwari, Tyler M Lovelly, and Jesse K Mee. Total ionizing dose radiation testing of nvidia jetson nano gpus. In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. Zhang et al. [2018] Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. Ivan Rodriguez-Ferrandez, Maris Tali, Leonidas Kosmidis, Marta Rovituso, and David Steenari. Sources of single event effects in the nvidia xavier soc family under proton irradiation. 2022 IEEE 28th International Symposium on On-Line Testing and Robust System Design (IOLTS), 2022. Seltzer [1994] Stephen M Seltzer. Updated calculations for routine space-shielding radiation dose estimates: Shieldose-2. 1994. Selva and Krejci [2012] Daniel Selva and David Krejci. A survey and assessment of the capabilities of cubesats for earth observation. Acta Astronautica, 74:50–68, 2012. Sendamarai et al. [2016] P. Sendamarai, M. N. Giri Prasad, S. Madhava Prabhu, and K. N. Nagesh. A cdf based lifting scheme for the satellite image compression. 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC), 2016. Slater et al. [2020] Windy S Slater, Nayana P Tiwari, Tyler M Lovelly, and Jesse K Mee. Total ionizing dose radiation testing of nvidia jetson nano gpus. In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. Zhang et al. [2018] Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. Stephen M Seltzer. Updated calculations for routine space-shielding radiation dose estimates: Shieldose-2. 1994. Selva and Krejci [2012] Daniel Selva and David Krejci. A survey and assessment of the capabilities of cubesats for earth observation. Acta Astronautica, 74:50–68, 2012. Sendamarai et al. [2016] P. Sendamarai, M. N. Giri Prasad, S. Madhava Prabhu, and K. N. Nagesh. A cdf based lifting scheme for the satellite image compression. 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC), 2016. Slater et al. [2020] Windy S Slater, Nayana P Tiwari, Tyler M Lovelly, and Jesse K Mee. Total ionizing dose radiation testing of nvidia jetson nano gpus. In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. Zhang et al. [2018] Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. Daniel Selva and David Krejci. A survey and assessment of the capabilities of cubesats for earth observation. Acta Astronautica, 74:50–68, 2012. Sendamarai et al. [2016] P. Sendamarai, M. N. Giri Prasad, S. Madhava Prabhu, and K. N. Nagesh. A cdf based lifting scheme for the satellite image compression. 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC), 2016. Slater et al. [2020] Windy S Slater, Nayana P Tiwari, Tyler M Lovelly, and Jesse K Mee. Total ionizing dose radiation testing of nvidia jetson nano gpus. In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. Zhang et al. [2018] Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. 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Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. Windy S Slater, Nayana P Tiwari, Tyler M Lovelly, and Jesse K Mee. Total ionizing dose radiation testing of nvidia jetson nano gpus. In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. Zhang et al. [2018] Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021.
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Improving performance-power-programmability in space avionics with edge devices: Vbn on myriad2 soc. ACM Transactions on Embedded Computing Systems (TECS), 20(3):1–23, 2021. Lofqvist and Cano [2020] Martina Lofqvist and José Cano. Accelerating deep learning applications in space. arXiv preprint arXiv:2007.11089, 2020. Murbach et al. [2023] Marcus S. Murbach, Eric Barszcz, L. Seth Schisler, Alejandro J. Salas, Kwabena Boateng, Gregoire Marty, Malachi Mooney-Rivkin, Avery Brock, Stanley M. Krześniak, and Samuel Zuniga. Brainstack – a platform for artificial intelligence & machine learning collaborative experiments on a nano-satellite. In 37th Annual Small Satellite Conference Proceedings, Logan, Utah, 2023. NASA Ames Research Center, SmallSat Organization. Document ID: 20230011460, Report/Patent Number: SSC23-X-03, Public Use Permitted. NASA, Earth Science and Remote Sensing Unit, Johnson Space Center [2012] NASA, Earth Science and Remote Sensing Unit, Johnson Space Center. 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[2022] Ivan Rodriguez-Ferrandez, Maris Tali, Leonidas Kosmidis, Marta Rovituso, and David Steenari. Sources of single event effects in the nvidia xavier soc family under proton irradiation. 2022 IEEE 28th International Symposium on On-Line Testing and Robust System Design (IOLTS), 2022. Seltzer [1994] Stephen M Seltzer. Updated calculations for routine space-shielding radiation dose estimates: Shieldose-2. 1994. Selva and Krejci [2012] Daniel Selva and David Krejci. A survey and assessment of the capabilities of cubesats for earth observation. Acta Astronautica, 74:50–68, 2012. Sendamarai et al. [2016] P. Sendamarai, M. N. Giri Prasad, S. Madhava Prabhu, and K. N. Nagesh. A cdf based lifting scheme for the satellite image compression. 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC), 2016. Slater et al. [2020] Windy S Slater, Nayana P Tiwari, Tyler M Lovelly, and Jesse K Mee. Total ionizing dose radiation testing of nvidia jetson nano gpus. In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. Zhang et al. [2018] Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. Vivek Kothari, Edgar Liberis, and Nicholas D. Lane. The final frontier: Deep learning in space, 2020. Kristiani et al. [2020] Endah Kristiani, Chao-Tung Yang, and Kieu Lan Phuong Nguyen. Optimization of deep learning inference on edge devices. In 2020 International Conference on Pervasive Artificial Intelligence (ICPAI), pages 264–267. IEEE, 2020. [16] Gareth Lawrence, Simon Reid, and Michel Kruglanski. Space environment information system: Applicability for mission design and operations. In SpaceOps 2010 Conference, page 045005. American Institute of Aeronautics and Astronautics. Leon et al. [2021] Vasileios Leon, George Lentaris, Evangelos Petrongonas, Dimitrios Soudris, Gianluca Furano, Antonis Tavoularis, and David Moloney. Improving performance-power-programmability in space avionics with edge devices: Vbn on myriad2 soc. ACM Transactions on Embedded Computing Systems (TECS), 20(3):1–23, 2021. Lofqvist and Cano [2020] Martina Lofqvist and José Cano. Accelerating deep learning applications in space. arXiv preprint arXiv:2007.11089, 2020. Murbach et al. [2023] Marcus S. Murbach, Eric Barszcz, L. Seth Schisler, Alejandro J. Salas, Kwabena Boateng, Gregoire Marty, Malachi Mooney-Rivkin, Avery Brock, Stanley M. Krześniak, and Samuel Zuniga. Brainstack – a platform for artificial intelligence & machine learning collaborative experiments on a nano-satellite. In 37th Annual Small Satellite Conference Proceedings, Logan, Utah, 2023. NASA Ames Research Center, SmallSat Organization. Document ID: 20230011460, Report/Patent Number: SSC23-X-03, Public Use Permitted. NASA, Earth Science and Remote Sensing Unit, Johnson Space Center [2012] NASA, Earth Science and Remote Sensing Unit, Johnson Space Center. Image ISS031-E-148504 taken on June 23, 2012. https://eol.jsc.nasa.gov/SearchPhotos/photo.pl?mission=ISS031&roll=E&frame=148504, 2012. Accessed on: December 6, 2020. Oberright [2002] John E Oberright. Nanosatellite science applications. Smaller Satellites: Bigger Business? Concepts, Applications and Markets for Micro/Nanosatellites in a New Information World, pages 83–91, 2002. Ortiz et al. [2023] Flor Ortiz, Victor Monzon Baeza, Luis M. Garces-Socarras, Juan A. Vásquez-Peralvo, Jorge L. Gonzalez, Gianluca Fontanesi, Eva Lagunas, Jorge Querol, and Symeon Chatzinotas. Onboard processing in satellite communications using ai accelerators. Aerospace, 10(2), 2023. Rad et al. [2023] Ioan Octavian Rad, Ramon Maria Garcia Alarcia, Sascha Dengler, Alessandro Golkar, and Chiara Manfletti. Preliminary evaluation of commercial off-the-shelf gpus for machine learning applications in space. 2023. Rodriguez-Ferrandez et al. [2022] Ivan Rodriguez-Ferrandez, Maris Tali, Leonidas Kosmidis, Marta Rovituso, and David Steenari. Sources of single event effects in the nvidia xavier soc family under proton irradiation. 2022 IEEE 28th International Symposium on On-Line Testing and Robust System Design (IOLTS), 2022. Seltzer [1994] Stephen M Seltzer. Updated calculations for routine space-shielding radiation dose estimates: Shieldose-2. 1994. Selva and Krejci [2012] Daniel Selva and David Krejci. A survey and assessment of the capabilities of cubesats for earth observation. Acta Astronautica, 74:50–68, 2012. Sendamarai et al. [2016] P. Sendamarai, M. N. Giri Prasad, S. Madhava Prabhu, and K. N. Nagesh. A cdf based lifting scheme for the satellite image compression. 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC), 2016. Slater et al. [2020] Windy S Slater, Nayana P Tiwari, Tyler M Lovelly, and Jesse K Mee. Total ionizing dose radiation testing of nvidia jetson nano gpus. In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. Zhang et al. [2018] Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. Endah Kristiani, Chao-Tung Yang, and Kieu Lan Phuong Nguyen. Optimization of deep learning inference on edge devices. In 2020 International Conference on Pervasive Artificial Intelligence (ICPAI), pages 264–267. IEEE, 2020. [16] Gareth Lawrence, Simon Reid, and Michel Kruglanski. Space environment information system: Applicability for mission design and operations. In SpaceOps 2010 Conference, page 045005. American Institute of Aeronautics and Astronautics. Leon et al. [2021] Vasileios Leon, George Lentaris, Evangelos Petrongonas, Dimitrios Soudris, Gianluca Furano, Antonis Tavoularis, and David Moloney. Improving performance-power-programmability in space avionics with edge devices: Vbn on myriad2 soc. ACM Transactions on Embedded Computing Systems (TECS), 20(3):1–23, 2021. Lofqvist and Cano [2020] Martina Lofqvist and José Cano. Accelerating deep learning applications in space. arXiv preprint arXiv:2007.11089, 2020. Murbach et al. [2023] Marcus S. Murbach, Eric Barszcz, L. Seth Schisler, Alejandro J. Salas, Kwabena Boateng, Gregoire Marty, Malachi Mooney-Rivkin, Avery Brock, Stanley M. Krześniak, and Samuel Zuniga. Brainstack – a platform for artificial intelligence & machine learning collaborative experiments on a nano-satellite. In 37th Annual Small Satellite Conference Proceedings, Logan, Utah, 2023. NASA Ames Research Center, SmallSat Organization. Document ID: 20230011460, Report/Patent Number: SSC23-X-03, Public Use Permitted. NASA, Earth Science and Remote Sensing Unit, Johnson Space Center [2012] NASA, Earth Science and Remote Sensing Unit, Johnson Space Center. Image ISS031-E-148504 taken on June 23, 2012. https://eol.jsc.nasa.gov/SearchPhotos/photo.pl?mission=ISS031&roll=E&frame=148504, 2012. Accessed on: December 6, 2020. Oberright [2002] John E Oberright. Nanosatellite science applications. Smaller Satellites: Bigger Business? Concepts, Applications and Markets for Micro/Nanosatellites in a New Information World, pages 83–91, 2002. Ortiz et al. [2023] Flor Ortiz, Victor Monzon Baeza, Luis M. Garces-Socarras, Juan A. Vásquez-Peralvo, Jorge L. Gonzalez, Gianluca Fontanesi, Eva Lagunas, Jorge Querol, and Symeon Chatzinotas. Onboard processing in satellite communications using ai accelerators. Aerospace, 10(2), 2023. Rad et al. [2023] Ioan Octavian Rad, Ramon Maria Garcia Alarcia, Sascha Dengler, Alessandro Golkar, and Chiara Manfletti. Preliminary evaluation of commercial off-the-shelf gpus for machine learning applications in space. 2023. Rodriguez-Ferrandez et al. [2022] Ivan Rodriguez-Ferrandez, Maris Tali, Leonidas Kosmidis, Marta Rovituso, and David Steenari. Sources of single event effects in the nvidia xavier soc family under proton irradiation. 2022 IEEE 28th International Symposium on On-Line Testing and Robust System Design (IOLTS), 2022. Seltzer [1994] Stephen M Seltzer. Updated calculations for routine space-shielding radiation dose estimates: Shieldose-2. 1994. Selva and Krejci [2012] Daniel Selva and David Krejci. A survey and assessment of the capabilities of cubesats for earth observation. Acta Astronautica, 74:50–68, 2012. Sendamarai et al. [2016] P. Sendamarai, M. N. Giri Prasad, S. Madhava Prabhu, and K. N. Nagesh. A cdf based lifting scheme for the satellite image compression. 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC), 2016. Slater et al. [2020] Windy S Slater, Nayana P Tiwari, Tyler M Lovelly, and Jesse K Mee. Total ionizing dose radiation testing of nvidia jetson nano gpus. In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. Zhang et al. [2018] Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. Gareth Lawrence, Simon Reid, and Michel Kruglanski. Space environment information system: Applicability for mission design and operations. In SpaceOps 2010 Conference, page 045005. American Institute of Aeronautics and Astronautics. Leon et al. [2021] Vasileios Leon, George Lentaris, Evangelos Petrongonas, Dimitrios Soudris, Gianluca Furano, Antonis Tavoularis, and David Moloney. Improving performance-power-programmability in space avionics with edge devices: Vbn on myriad2 soc. ACM Transactions on Embedded Computing Systems (TECS), 20(3):1–23, 2021. Lofqvist and Cano [2020] Martina Lofqvist and José Cano. Accelerating deep learning applications in space. arXiv preprint arXiv:2007.11089, 2020. Murbach et al. [2023] Marcus S. Murbach, Eric Barszcz, L. Seth Schisler, Alejandro J. Salas, Kwabena Boateng, Gregoire Marty, Malachi Mooney-Rivkin, Avery Brock, Stanley M. Krześniak, and Samuel Zuniga. Brainstack – a platform for artificial intelligence & machine learning collaborative experiments on a nano-satellite. In 37th Annual Small Satellite Conference Proceedings, Logan, Utah, 2023. NASA Ames Research Center, SmallSat Organization. Document ID: 20230011460, Report/Patent Number: SSC23-X-03, Public Use Permitted. NASA, Earth Science and Remote Sensing Unit, Johnson Space Center [2012] NASA, Earth Science and Remote Sensing Unit, Johnson Space Center. Image ISS031-E-148504 taken on June 23, 2012. https://eol.jsc.nasa.gov/SearchPhotos/photo.pl?mission=ISS031&roll=E&frame=148504, 2012. Accessed on: December 6, 2020. Oberright [2002] John E Oberright. Nanosatellite science applications. Smaller Satellites: Bigger Business? Concepts, Applications and Markets for Micro/Nanosatellites in a New Information World, pages 83–91, 2002. Ortiz et al. [2023] Flor Ortiz, Victor Monzon Baeza, Luis M. Garces-Socarras, Juan A. Vásquez-Peralvo, Jorge L. Gonzalez, Gianluca Fontanesi, Eva Lagunas, Jorge Querol, and Symeon Chatzinotas. Onboard processing in satellite communications using ai accelerators. Aerospace, 10(2), 2023. Rad et al. [2023] Ioan Octavian Rad, Ramon Maria Garcia Alarcia, Sascha Dengler, Alessandro Golkar, and Chiara Manfletti. Preliminary evaluation of commercial off-the-shelf gpus for machine learning applications in space. 2023. Rodriguez-Ferrandez et al. [2022] Ivan Rodriguez-Ferrandez, Maris Tali, Leonidas Kosmidis, Marta Rovituso, and David Steenari. Sources of single event effects in the nvidia xavier soc family under proton irradiation. 2022 IEEE 28th International Symposium on On-Line Testing and Robust System Design (IOLTS), 2022. Seltzer [1994] Stephen M Seltzer. Updated calculations for routine space-shielding radiation dose estimates: Shieldose-2. 1994. Selva and Krejci [2012] Daniel Selva and David Krejci. A survey and assessment of the capabilities of cubesats for earth observation. Acta Astronautica, 74:50–68, 2012. Sendamarai et al. [2016] P. Sendamarai, M. N. Giri Prasad, S. Madhava Prabhu, and K. N. Nagesh. A cdf based lifting scheme for the satellite image compression. 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC), 2016. Slater et al. [2020] Windy S Slater, Nayana P Tiwari, Tyler M Lovelly, and Jesse K Mee. Total ionizing dose radiation testing of nvidia jetson nano gpus. In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. Zhang et al. [2018] Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. Vasileios Leon, George Lentaris, Evangelos Petrongonas, Dimitrios Soudris, Gianluca Furano, Antonis Tavoularis, and David Moloney. Improving performance-power-programmability in space avionics with edge devices: Vbn on myriad2 soc. ACM Transactions on Embedded Computing Systems (TECS), 20(3):1–23, 2021. Lofqvist and Cano [2020] Martina Lofqvist and José Cano. Accelerating deep learning applications in space. arXiv preprint arXiv:2007.11089, 2020. Murbach et al. [2023] Marcus S. Murbach, Eric Barszcz, L. Seth Schisler, Alejandro J. Salas, Kwabena Boateng, Gregoire Marty, Malachi Mooney-Rivkin, Avery Brock, Stanley M. Krześniak, and Samuel Zuniga. Brainstack – a platform for artificial intelligence & machine learning collaborative experiments on a nano-satellite. In 37th Annual Small Satellite Conference Proceedings, Logan, Utah, 2023. NASA Ames Research Center, SmallSat Organization. Document ID: 20230011460, Report/Patent Number: SSC23-X-03, Public Use Permitted. NASA, Earth Science and Remote Sensing Unit, Johnson Space Center [2012] NASA, Earth Science and Remote Sensing Unit, Johnson Space Center. Image ISS031-E-148504 taken on June 23, 2012. https://eol.jsc.nasa.gov/SearchPhotos/photo.pl?mission=ISS031&roll=E&frame=148504, 2012. Accessed on: December 6, 2020. Oberright [2002] John E Oberright. Nanosatellite science applications. Smaller Satellites: Bigger Business? Concepts, Applications and Markets for Micro/Nanosatellites in a New Information World, pages 83–91, 2002. Ortiz et al. [2023] Flor Ortiz, Victor Monzon Baeza, Luis M. Garces-Socarras, Juan A. Vásquez-Peralvo, Jorge L. Gonzalez, Gianluca Fontanesi, Eva Lagunas, Jorge Querol, and Symeon Chatzinotas. Onboard processing in satellite communications using ai accelerators. Aerospace, 10(2), 2023. Rad et al. [2023] Ioan Octavian Rad, Ramon Maria Garcia Alarcia, Sascha Dengler, Alessandro Golkar, and Chiara Manfletti. Preliminary evaluation of commercial off-the-shelf gpus for machine learning applications in space. 2023. Rodriguez-Ferrandez et al. [2022] Ivan Rodriguez-Ferrandez, Maris Tali, Leonidas Kosmidis, Marta Rovituso, and David Steenari. Sources of single event effects in the nvidia xavier soc family under proton irradiation. 2022 IEEE 28th International Symposium on On-Line Testing and Robust System Design (IOLTS), 2022. Seltzer [1994] Stephen M Seltzer. Updated calculations for routine space-shielding radiation dose estimates: Shieldose-2. 1994. Selva and Krejci [2012] Daniel Selva and David Krejci. A survey and assessment of the capabilities of cubesats for earth observation. Acta Astronautica, 74:50–68, 2012. Sendamarai et al. [2016] P. Sendamarai, M. N. Giri Prasad, S. Madhava Prabhu, and K. N. Nagesh. A cdf based lifting scheme for the satellite image compression. 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC), 2016. Slater et al. [2020] Windy S Slater, Nayana P Tiwari, Tyler M Lovelly, and Jesse K Mee. Total ionizing dose radiation testing of nvidia jetson nano gpus. In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. Zhang et al. [2018] Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. Martina Lofqvist and José Cano. Accelerating deep learning applications in space. arXiv preprint arXiv:2007.11089, 2020. Murbach et al. [2023] Marcus S. Murbach, Eric Barszcz, L. Seth Schisler, Alejandro J. Salas, Kwabena Boateng, Gregoire Marty, Malachi Mooney-Rivkin, Avery Brock, Stanley M. Krześniak, and Samuel Zuniga. 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Murbach, Eric Barszcz, L. Seth Schisler, Alejandro J. Salas, Kwabena Boateng, Gregoire Marty, Malachi Mooney-Rivkin, Avery Brock, Stanley M. Krześniak, and Samuel Zuniga. Brainstack – a platform for artificial intelligence & machine learning collaborative experiments on a nano-satellite. In 37th Annual Small Satellite Conference Proceedings, Logan, Utah, 2023. NASA Ames Research Center, SmallSat Organization. Document ID: 20230011460, Report/Patent Number: SSC23-X-03, Public Use Permitted. NASA, Earth Science and Remote Sensing Unit, Johnson Space Center [2012] NASA, Earth Science and Remote Sensing Unit, Johnson Space Center. Image ISS031-E-148504 taken on June 23, 2012. https://eol.jsc.nasa.gov/SearchPhotos/photo.pl?mission=ISS031&roll=E&frame=148504, 2012. Accessed on: December 6, 2020. Oberright [2002] John E Oberright. Nanosatellite science applications. Smaller Satellites: Bigger Business? 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Updated calculations for routine space-shielding radiation dose estimates: Shieldose-2. 1994. Selva and Krejci [2012] Daniel Selva and David Krejci. A survey and assessment of the capabilities of cubesats for earth observation. Acta Astronautica, 74:50–68, 2012. Sendamarai et al. [2016] P. Sendamarai, M. N. Giri Prasad, S. Madhava Prabhu, and K. N. Nagesh. A cdf based lifting scheme for the satellite image compression. 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC), 2016. Slater et al. [2020] Windy S Slater, Nayana P Tiwari, Tyler M Lovelly, and Jesse K Mee. Total ionizing dose radiation testing of nvidia jetson nano gpus. In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. Zhang et al. [2018] Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. 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Concepts, Applications and Markets for Micro/Nanosatellites in a New Information World, pages 83–91, 2002. Ortiz et al. [2023] Flor Ortiz, Victor Monzon Baeza, Luis M. Garces-Socarras, Juan A. Vásquez-Peralvo, Jorge L. Gonzalez, Gianluca Fontanesi, Eva Lagunas, Jorge Querol, and Symeon Chatzinotas. Onboard processing in satellite communications using ai accelerators. Aerospace, 10(2), 2023. Rad et al. [2023] Ioan Octavian Rad, Ramon Maria Garcia Alarcia, Sascha Dengler, Alessandro Golkar, and Chiara Manfletti. Preliminary evaluation of commercial off-the-shelf gpus for machine learning applications in space. 2023. Rodriguez-Ferrandez et al. [2022] Ivan Rodriguez-Ferrandez, Maris Tali, Leonidas Kosmidis, Marta Rovituso, and David Steenari. Sources of single event effects in the nvidia xavier soc family under proton irradiation. 2022 IEEE 28th International Symposium on On-Line Testing and Robust System Design (IOLTS), 2022. Seltzer [1994] Stephen M Seltzer. Updated calculations for routine space-shielding radiation dose estimates: Shieldose-2. 1994. Selva and Krejci [2012] Daniel Selva and David Krejci. A survey and assessment of the capabilities of cubesats for earth observation. Acta Astronautica, 74:50–68, 2012. Sendamarai et al. [2016] P. Sendamarai, M. N. Giri Prasad, S. Madhava Prabhu, and K. N. Nagesh. A cdf based lifting scheme for the satellite image compression. 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC), 2016. Slater et al. [2020] Windy S Slater, Nayana P Tiwari, Tyler M Lovelly, and Jesse K Mee. Total ionizing dose radiation testing of nvidia jetson nano gpus. In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. Zhang et al. [2018] Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. 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Sources of single event effects in the nvidia xavier soc family under proton irradiation. 2022 IEEE 28th International Symposium on On-Line Testing and Robust System Design (IOLTS), 2022. Seltzer [1994] Stephen M Seltzer. Updated calculations for routine space-shielding radiation dose estimates: Shieldose-2. 1994. Selva and Krejci [2012] Daniel Selva and David Krejci. A survey and assessment of the capabilities of cubesats for earth observation. Acta Astronautica, 74:50–68, 2012. Sendamarai et al. [2016] P. Sendamarai, M. N. Giri Prasad, S. Madhava Prabhu, and K. N. Nagesh. A cdf based lifting scheme for the satellite image compression. 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC), 2016. Slater et al. [2020] Windy S Slater, Nayana P Tiwari, Tyler M Lovelly, and Jesse K Mee. Total ionizing dose radiation testing of nvidia jetson nano gpus. In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. Zhang et al. 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Updated calculations for routine space-shielding radiation dose estimates: Shieldose-2. 1994. Selva and Krejci [2012] Daniel Selva and David Krejci. A survey and assessment of the capabilities of cubesats for earth observation. Acta Astronautica, 74:50–68, 2012. Sendamarai et al. [2016] P. Sendamarai, M. N. Giri Prasad, S. Madhava Prabhu, and K. N. Nagesh. A cdf based lifting scheme for the satellite image compression. 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC), 2016. Slater et al. [2020] Windy S Slater, Nayana P Tiwari, Tyler M Lovelly, and Jesse K Mee. Total ionizing dose radiation testing of nvidia jetson nano gpus. In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. Zhang et al. [2018] Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. 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ACM Transactions on Embedded Computing Systems (TECS), 20(3):1–23, 2021. Lofqvist and Cano [2020] Martina Lofqvist and José Cano. Accelerating deep learning applications in space. arXiv preprint arXiv:2007.11089, 2020. Murbach et al. [2023] Marcus S. Murbach, Eric Barszcz, L. Seth Schisler, Alejandro J. Salas, Kwabena Boateng, Gregoire Marty, Malachi Mooney-Rivkin, Avery Brock, Stanley M. Krześniak, and Samuel Zuniga. Brainstack – a platform for artificial intelligence & machine learning collaborative experiments on a nano-satellite. In 37th Annual Small Satellite Conference Proceedings, Logan, Utah, 2023. NASA Ames Research Center, SmallSat Organization. Document ID: 20230011460, Report/Patent Number: SSC23-X-03, Public Use Permitted. NASA, Earth Science and Remote Sensing Unit, Johnson Space Center [2012] NASA, Earth Science and Remote Sensing Unit, Johnson Space Center. Image ISS031-E-148504 taken on June 23, 2012. https://eol.jsc.nasa.gov/SearchPhotos/photo.pl?mission=ISS031&roll=E&frame=148504, 2012. Accessed on: December 6, 2020. Oberright [2002] John E Oberright. Nanosatellite science applications. Smaller Satellites: Bigger Business? Concepts, Applications and Markets for Micro/Nanosatellites in a New Information World, pages 83–91, 2002. Ortiz et al. [2023] Flor Ortiz, Victor Monzon Baeza, Luis M. Garces-Socarras, Juan A. Vásquez-Peralvo, Jorge L. Gonzalez, Gianluca Fontanesi, Eva Lagunas, Jorge Querol, and Symeon Chatzinotas. Onboard processing in satellite communications using ai accelerators. Aerospace, 10(2), 2023. Rad et al. [2023] Ioan Octavian Rad, Ramon Maria Garcia Alarcia, Sascha Dengler, Alessandro Golkar, and Chiara Manfletti. Preliminary evaluation of commercial off-the-shelf gpus for machine learning applications in space. 2023. Rodriguez-Ferrandez et al. [2022] Ivan Rodriguez-Ferrandez, Maris Tali, Leonidas Kosmidis, Marta Rovituso, and David Steenari. Sources of single event effects in the nvidia xavier soc family under proton irradiation. 2022 IEEE 28th International Symposium on On-Line Testing and Robust System Design (IOLTS), 2022. Seltzer [1994] Stephen M Seltzer. Updated calculations for routine space-shielding radiation dose estimates: Shieldose-2. 1994. Selva and Krejci [2012] Daniel Selva and David Krejci. A survey and assessment of the capabilities of cubesats for earth observation. Acta Astronautica, 74:50–68, 2012. Sendamarai et al. [2016] P. Sendamarai, M. N. Giri Prasad, S. Madhava Prabhu, and K. N. Nagesh. A cdf based lifting scheme for the satellite image compression. 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC), 2016. Slater et al. [2020] Windy S Slater, Nayana P Tiwari, Tyler M Lovelly, and Jesse K Mee. Total ionizing dose radiation testing of nvidia jetson nano gpus. In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. Zhang et al. [2018] Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. Gareth Lawrence, Simon Reid, and Michel Kruglanski. Space environment information system: Applicability for mission design and operations. In SpaceOps 2010 Conference, page 045005. American Institute of Aeronautics and Astronautics. Leon et al. [2021] Vasileios Leon, George Lentaris, Evangelos Petrongonas, Dimitrios Soudris, Gianluca Furano, Antonis Tavoularis, and David Moloney. Improving performance-power-programmability in space avionics with edge devices: Vbn on myriad2 soc. ACM Transactions on Embedded Computing Systems (TECS), 20(3):1–23, 2021. Lofqvist and Cano [2020] Martina Lofqvist and José Cano. Accelerating deep learning applications in space. arXiv preprint arXiv:2007.11089, 2020. Murbach et al. [2023] Marcus S. Murbach, Eric Barszcz, L. Seth Schisler, Alejandro J. Salas, Kwabena Boateng, Gregoire Marty, Malachi Mooney-Rivkin, Avery Brock, Stanley M. Krześniak, and Samuel Zuniga. Brainstack – a platform for artificial intelligence & machine learning collaborative experiments on a nano-satellite. In 37th Annual Small Satellite Conference Proceedings, Logan, Utah, 2023. NASA Ames Research Center, SmallSat Organization. Document ID: 20230011460, Report/Patent Number: SSC23-X-03, Public Use Permitted. NASA, Earth Science and Remote Sensing Unit, Johnson Space Center [2012] NASA, Earth Science and Remote Sensing Unit, Johnson Space Center. Image ISS031-E-148504 taken on June 23, 2012. https://eol.jsc.nasa.gov/SearchPhotos/photo.pl?mission=ISS031&roll=E&frame=148504, 2012. Accessed on: December 6, 2020. Oberright [2002] John E Oberright. Nanosatellite science applications. Smaller Satellites: Bigger Business? Concepts, Applications and Markets for Micro/Nanosatellites in a New Information World, pages 83–91, 2002. Ortiz et al. [2023] Flor Ortiz, Victor Monzon Baeza, Luis M. Garces-Socarras, Juan A. Vásquez-Peralvo, Jorge L. Gonzalez, Gianluca Fontanesi, Eva Lagunas, Jorge Querol, and Symeon Chatzinotas. Onboard processing in satellite communications using ai accelerators. Aerospace, 10(2), 2023. Rad et al. [2023] Ioan Octavian Rad, Ramon Maria Garcia Alarcia, Sascha Dengler, Alessandro Golkar, and Chiara Manfletti. Preliminary evaluation of commercial off-the-shelf gpus for machine learning applications in space. 2023. Rodriguez-Ferrandez et al. [2022] Ivan Rodriguez-Ferrandez, Maris Tali, Leonidas Kosmidis, Marta Rovituso, and David Steenari. Sources of single event effects in the nvidia xavier soc family under proton irradiation. 2022 IEEE 28th International Symposium on On-Line Testing and Robust System Design (IOLTS), 2022. Seltzer [1994] Stephen M Seltzer. Updated calculations for routine space-shielding radiation dose estimates: Shieldose-2. 1994. Selva and Krejci [2012] Daniel Selva and David Krejci. A survey and assessment of the capabilities of cubesats for earth observation. Acta Astronautica, 74:50–68, 2012. Sendamarai et al. [2016] P. Sendamarai, M. N. Giri Prasad, S. Madhava Prabhu, and K. N. Nagesh. A cdf based lifting scheme for the satellite image compression. 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC), 2016. Slater et al. [2020] Windy S Slater, Nayana P Tiwari, Tyler M Lovelly, and Jesse K Mee. Total ionizing dose radiation testing of nvidia jetson nano gpus. In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. Zhang et al. [2018] Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. Vasileios Leon, George Lentaris, Evangelos Petrongonas, Dimitrios Soudris, Gianluca Furano, Antonis Tavoularis, and David Moloney. Improving performance-power-programmability in space avionics with edge devices: Vbn on myriad2 soc. ACM Transactions on Embedded Computing Systems (TECS), 20(3):1–23, 2021. Lofqvist and Cano [2020] Martina Lofqvist and José Cano. Accelerating deep learning applications in space. arXiv preprint arXiv:2007.11089, 2020. Murbach et al. [2023] Marcus S. Murbach, Eric Barszcz, L. Seth Schisler, Alejandro J. Salas, Kwabena Boateng, Gregoire Marty, Malachi Mooney-Rivkin, Avery Brock, Stanley M. Krześniak, and Samuel Zuniga. Brainstack – a platform for artificial intelligence & machine learning collaborative experiments on a nano-satellite. In 37th Annual Small Satellite Conference Proceedings, Logan, Utah, 2023. NASA Ames Research Center, SmallSat Organization. Document ID: 20230011460, Report/Patent Number: SSC23-X-03, Public Use Permitted. NASA, Earth Science and Remote Sensing Unit, Johnson Space Center [2012] NASA, Earth Science and Remote Sensing Unit, Johnson Space Center. Image ISS031-E-148504 taken on June 23, 2012. https://eol.jsc.nasa.gov/SearchPhotos/photo.pl?mission=ISS031&roll=E&frame=148504, 2012. Accessed on: December 6, 2020. Oberright [2002] John E Oberright. Nanosatellite science applications. Smaller Satellites: Bigger Business? Concepts, Applications and Markets for Micro/Nanosatellites in a New Information World, pages 83–91, 2002. Ortiz et al. [2023] Flor Ortiz, Victor Monzon Baeza, Luis M. Garces-Socarras, Juan A. Vásquez-Peralvo, Jorge L. Gonzalez, Gianluca Fontanesi, Eva Lagunas, Jorge Querol, and Symeon Chatzinotas. Onboard processing in satellite communications using ai accelerators. Aerospace, 10(2), 2023. Rad et al. [2023] Ioan Octavian Rad, Ramon Maria Garcia Alarcia, Sascha Dengler, Alessandro Golkar, and Chiara Manfletti. Preliminary evaluation of commercial off-the-shelf gpus for machine learning applications in space. 2023. Rodriguez-Ferrandez et al. [2022] Ivan Rodriguez-Ferrandez, Maris Tali, Leonidas Kosmidis, Marta Rovituso, and David Steenari. Sources of single event effects in the nvidia xavier soc family under proton irradiation. 2022 IEEE 28th International Symposium on On-Line Testing and Robust System Design (IOLTS), 2022. Seltzer [1994] Stephen M Seltzer. Updated calculations for routine space-shielding radiation dose estimates: Shieldose-2. 1994. Selva and Krejci [2012] Daniel Selva and David Krejci. A survey and assessment of the capabilities of cubesats for earth observation. Acta Astronautica, 74:50–68, 2012. Sendamarai et al. [2016] P. Sendamarai, M. N. Giri Prasad, S. Madhava Prabhu, and K. N. Nagesh. A cdf based lifting scheme for the satellite image compression. 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC), 2016. Slater et al. [2020] Windy S Slater, Nayana P Tiwari, Tyler M Lovelly, and Jesse K Mee. Total ionizing dose radiation testing of nvidia jetson nano gpus. In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. Zhang et al. [2018] Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. Martina Lofqvist and José Cano. Accelerating deep learning applications in space. arXiv preprint arXiv:2007.11089, 2020. Murbach et al. [2023] Marcus S. Murbach, Eric Barszcz, L. Seth Schisler, Alejandro J. Salas, Kwabena Boateng, Gregoire Marty, Malachi Mooney-Rivkin, Avery Brock, Stanley M. Krześniak, and Samuel Zuniga. Brainstack – a platform for artificial intelligence & machine learning collaborative experiments on a nano-satellite. In 37th Annual Small Satellite Conference Proceedings, Logan, Utah, 2023. NASA Ames Research Center, SmallSat Organization. Document ID: 20230011460, Report/Patent Number: SSC23-X-03, Public Use Permitted. NASA, Earth Science and Remote Sensing Unit, Johnson Space Center [2012] NASA, Earth Science and Remote Sensing Unit, Johnson Space Center. Image ISS031-E-148504 taken on June 23, 2012. https://eol.jsc.nasa.gov/SearchPhotos/photo.pl?mission=ISS031&roll=E&frame=148504, 2012. Accessed on: December 6, 2020. Oberright [2002] John E Oberright. Nanosatellite science applications. Smaller Satellites: Bigger Business? Concepts, Applications and Markets for Micro/Nanosatellites in a New Information World, pages 83–91, 2002. Ortiz et al. [2023] Flor Ortiz, Victor Monzon Baeza, Luis M. Garces-Socarras, Juan A. Vásquez-Peralvo, Jorge L. Gonzalez, Gianluca Fontanesi, Eva Lagunas, Jorge Querol, and Symeon Chatzinotas. Onboard processing in satellite communications using ai accelerators. Aerospace, 10(2), 2023. Rad et al. [2023] Ioan Octavian Rad, Ramon Maria Garcia Alarcia, Sascha Dengler, Alessandro Golkar, and Chiara Manfletti. Preliminary evaluation of commercial off-the-shelf gpus for machine learning applications in space. 2023. Rodriguez-Ferrandez et al. [2022] Ivan Rodriguez-Ferrandez, Maris Tali, Leonidas Kosmidis, Marta Rovituso, and David Steenari. Sources of single event effects in the nvidia xavier soc family under proton irradiation. 2022 IEEE 28th International Symposium on On-Line Testing and Robust System Design (IOLTS), 2022. Seltzer [1994] Stephen M Seltzer. Updated calculations for routine space-shielding radiation dose estimates: Shieldose-2. 1994. Selva and Krejci [2012] Daniel Selva and David Krejci. A survey and assessment of the capabilities of cubesats for earth observation. Acta Astronautica, 74:50–68, 2012. Sendamarai et al. [2016] P. Sendamarai, M. N. Giri Prasad, S. Madhava Prabhu, and K. N. Nagesh. A cdf based lifting scheme for the satellite image compression. 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC), 2016. Slater et al. [2020] Windy S Slater, Nayana P Tiwari, Tyler M Lovelly, and Jesse K Mee. Total ionizing dose radiation testing of nvidia jetson nano gpus. In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. Zhang et al. [2018] Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. Marcus S. Murbach, Eric Barszcz, L. Seth Schisler, Alejandro J. Salas, Kwabena Boateng, Gregoire Marty, Malachi Mooney-Rivkin, Avery Brock, Stanley M. Krześniak, and Samuel Zuniga. Brainstack – a platform for artificial intelligence & machine learning collaborative experiments on a nano-satellite. In 37th Annual Small Satellite Conference Proceedings, Logan, Utah, 2023. NASA Ames Research Center, SmallSat Organization. Document ID: 20230011460, Report/Patent Number: SSC23-X-03, Public Use Permitted. NASA, Earth Science and Remote Sensing Unit, Johnson Space Center [2012] NASA, Earth Science and Remote Sensing Unit, Johnson Space Center. Image ISS031-E-148504 taken on June 23, 2012. https://eol.jsc.nasa.gov/SearchPhotos/photo.pl?mission=ISS031&roll=E&frame=148504, 2012. Accessed on: December 6, 2020. Oberright [2002] John E Oberright. Nanosatellite science applications. Smaller Satellites: Bigger Business? Concepts, Applications and Markets for Micro/Nanosatellites in a New Information World, pages 83–91, 2002. Ortiz et al. [2023] Flor Ortiz, Victor Monzon Baeza, Luis M. Garces-Socarras, Juan A. Vásquez-Peralvo, Jorge L. Gonzalez, Gianluca Fontanesi, Eva Lagunas, Jorge Querol, and Symeon Chatzinotas. Onboard processing in satellite communications using ai accelerators. Aerospace, 10(2), 2023. Rad et al. [2023] Ioan Octavian Rad, Ramon Maria Garcia Alarcia, Sascha Dengler, Alessandro Golkar, and Chiara Manfletti. Preliminary evaluation of commercial off-the-shelf gpus for machine learning applications in space. 2023. Rodriguez-Ferrandez et al. [2022] Ivan Rodriguez-Ferrandez, Maris Tali, Leonidas Kosmidis, Marta Rovituso, and David Steenari. Sources of single event effects in the nvidia xavier soc family under proton irradiation. 2022 IEEE 28th International Symposium on On-Line Testing and Robust System Design (IOLTS), 2022. Seltzer [1994] Stephen M Seltzer. Updated calculations for routine space-shielding radiation dose estimates: Shieldose-2. 1994. Selva and Krejci [2012] Daniel Selva and David Krejci. A survey and assessment of the capabilities of cubesats for earth observation. Acta Astronautica, 74:50–68, 2012. Sendamarai et al. [2016] P. Sendamarai, M. N. Giri Prasad, S. Madhava Prabhu, and K. N. Nagesh. A cdf based lifting scheme for the satellite image compression. 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC), 2016. Slater et al. [2020] Windy S Slater, Nayana P Tiwari, Tyler M Lovelly, and Jesse K Mee. Total ionizing dose radiation testing of nvidia jetson nano gpus. In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. Zhang et al. [2018] Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. NASA, Earth Science and Remote Sensing Unit, Johnson Space Center. Image ISS031-E-148504 taken on June 23, 2012. https://eol.jsc.nasa.gov/SearchPhotos/photo.pl?mission=ISS031&roll=E&frame=148504, 2012. Accessed on: December 6, 2020. Oberright [2002] John E Oberright. Nanosatellite science applications. Smaller Satellites: Bigger Business? Concepts, Applications and Markets for Micro/Nanosatellites in a New Information World, pages 83–91, 2002. Ortiz et al. [2023] Flor Ortiz, Victor Monzon Baeza, Luis M. Garces-Socarras, Juan A. Vásquez-Peralvo, Jorge L. Gonzalez, Gianluca Fontanesi, Eva Lagunas, Jorge Querol, and Symeon Chatzinotas. Onboard processing in satellite communications using ai accelerators. Aerospace, 10(2), 2023. Rad et al. [2023] Ioan Octavian Rad, Ramon Maria Garcia Alarcia, Sascha Dengler, Alessandro Golkar, and Chiara Manfletti. Preliminary evaluation of commercial off-the-shelf gpus for machine learning applications in space. 2023. Rodriguez-Ferrandez et al. [2022] Ivan Rodriguez-Ferrandez, Maris Tali, Leonidas Kosmidis, Marta Rovituso, and David Steenari. Sources of single event effects in the nvidia xavier soc family under proton irradiation. 2022 IEEE 28th International Symposium on On-Line Testing and Robust System Design (IOLTS), 2022. Seltzer [1994] Stephen M Seltzer. Updated calculations for routine space-shielding radiation dose estimates: Shieldose-2. 1994. Selva and Krejci [2012] Daniel Selva and David Krejci. A survey and assessment of the capabilities of cubesats for earth observation. Acta Astronautica, 74:50–68, 2012. Sendamarai et al. [2016] P. Sendamarai, M. N. Giri Prasad, S. Madhava Prabhu, and K. N. Nagesh. A cdf based lifting scheme for the satellite image compression. 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC), 2016. Slater et al. [2020] Windy S Slater, Nayana P Tiwari, Tyler M Lovelly, and Jesse K Mee. Total ionizing dose radiation testing of nvidia jetson nano gpus. In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. Zhang et al. [2018] Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. John E Oberright. Nanosatellite science applications. Smaller Satellites: Bigger Business? Concepts, Applications and Markets for Micro/Nanosatellites in a New Information World, pages 83–91, 2002. Ortiz et al. [2023] Flor Ortiz, Victor Monzon Baeza, Luis M. Garces-Socarras, Juan A. Vásquez-Peralvo, Jorge L. Gonzalez, Gianluca Fontanesi, Eva Lagunas, Jorge Querol, and Symeon Chatzinotas. Onboard processing in satellite communications using ai accelerators. Aerospace, 10(2), 2023. Rad et al. [2023] Ioan Octavian Rad, Ramon Maria Garcia Alarcia, Sascha Dengler, Alessandro Golkar, and Chiara Manfletti. Preliminary evaluation of commercial off-the-shelf gpus for machine learning applications in space. 2023. Rodriguez-Ferrandez et al. [2022] Ivan Rodriguez-Ferrandez, Maris Tali, Leonidas Kosmidis, Marta Rovituso, and David Steenari. Sources of single event effects in the nvidia xavier soc family under proton irradiation. 2022 IEEE 28th International Symposium on On-Line Testing and Robust System Design (IOLTS), 2022. Seltzer [1994] Stephen M Seltzer. Updated calculations for routine space-shielding radiation dose estimates: Shieldose-2. 1994. Selva and Krejci [2012] Daniel Selva and David Krejci. A survey and assessment of the capabilities of cubesats for earth observation. Acta Astronautica, 74:50–68, 2012. Sendamarai et al. [2016] P. Sendamarai, M. N. Giri Prasad, S. Madhava Prabhu, and K. N. Nagesh. A cdf based lifting scheme for the satellite image compression. 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC), 2016. Slater et al. [2020] Windy S Slater, Nayana P Tiwari, Tyler M Lovelly, and Jesse K Mee. Total ionizing dose radiation testing of nvidia jetson nano gpus. In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. Zhang et al. [2018] Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. Flor Ortiz, Victor Monzon Baeza, Luis M. Garces-Socarras, Juan A. Vásquez-Peralvo, Jorge L. Gonzalez, Gianluca Fontanesi, Eva Lagunas, Jorge Querol, and Symeon Chatzinotas. Onboard processing in satellite communications using ai accelerators. Aerospace, 10(2), 2023. Rad et al. [2023] Ioan Octavian Rad, Ramon Maria Garcia Alarcia, Sascha Dengler, Alessandro Golkar, and Chiara Manfletti. Preliminary evaluation of commercial off-the-shelf gpus for machine learning applications in space. 2023. Rodriguez-Ferrandez et al. [2022] Ivan Rodriguez-Ferrandez, Maris Tali, Leonidas Kosmidis, Marta Rovituso, and David Steenari. Sources of single event effects in the nvidia xavier soc family under proton irradiation. 2022 IEEE 28th International Symposium on On-Line Testing and Robust System Design (IOLTS), 2022. Seltzer [1994] Stephen M Seltzer. Updated calculations for routine space-shielding radiation dose estimates: Shieldose-2. 1994. Selva and Krejci [2012] Daniel Selva and David Krejci. A survey and assessment of the capabilities of cubesats for earth observation. Acta Astronautica, 74:50–68, 2012. Sendamarai et al. [2016] P. Sendamarai, M. N. Giri Prasad, S. Madhava Prabhu, and K. N. Nagesh. A cdf based lifting scheme for the satellite image compression. 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC), 2016. Slater et al. [2020] Windy S Slater, Nayana P Tiwari, Tyler M Lovelly, and Jesse K Mee. Total ionizing dose radiation testing of nvidia jetson nano gpus. In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. Zhang et al. [2018] Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. Ioan Octavian Rad, Ramon Maria Garcia Alarcia, Sascha Dengler, Alessandro Golkar, and Chiara Manfletti. Preliminary evaluation of commercial off-the-shelf gpus for machine learning applications in space. 2023. Rodriguez-Ferrandez et al. [2022] Ivan Rodriguez-Ferrandez, Maris Tali, Leonidas Kosmidis, Marta Rovituso, and David Steenari. Sources of single event effects in the nvidia xavier soc family under proton irradiation. 2022 IEEE 28th International Symposium on On-Line Testing and Robust System Design (IOLTS), 2022. Seltzer [1994] Stephen M Seltzer. Updated calculations for routine space-shielding radiation dose estimates: Shieldose-2. 1994. Selva and Krejci [2012] Daniel Selva and David Krejci. A survey and assessment of the capabilities of cubesats for earth observation. Acta Astronautica, 74:50–68, 2012. Sendamarai et al. [2016] P. Sendamarai, M. N. Giri Prasad, S. Madhava Prabhu, and K. N. Nagesh. A cdf based lifting scheme for the satellite image compression. 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC), 2016. Slater et al. [2020] Windy S Slater, Nayana P Tiwari, Tyler M Lovelly, and Jesse K Mee. Total ionizing dose radiation testing of nvidia jetson nano gpus. In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. Zhang et al. [2018] Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. Ivan Rodriguez-Ferrandez, Maris Tali, Leonidas Kosmidis, Marta Rovituso, and David Steenari. Sources of single event effects in the nvidia xavier soc family under proton irradiation. 2022 IEEE 28th International Symposium on On-Line Testing and Robust System Design (IOLTS), 2022. Seltzer [1994] Stephen M Seltzer. Updated calculations for routine space-shielding radiation dose estimates: Shieldose-2. 1994. Selva and Krejci [2012] Daniel Selva and David Krejci. A survey and assessment of the capabilities of cubesats for earth observation. Acta Astronautica, 74:50–68, 2012. Sendamarai et al. [2016] P. Sendamarai, M. N. Giri Prasad, S. Madhava Prabhu, and K. N. Nagesh. A cdf based lifting scheme for the satellite image compression. 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC), 2016. Slater et al. [2020] Windy S Slater, Nayana P Tiwari, Tyler M Lovelly, and Jesse K Mee. Total ionizing dose radiation testing of nvidia jetson nano gpus. In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. Zhang et al. 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[2020] Windy S Slater, Nayana P Tiwari, Tyler M Lovelly, and Jesse K Mee. Total ionizing dose radiation testing of nvidia jetson nano gpus. In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. Zhang et al. [2018] Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. Daniel Selva and David Krejci. A survey and assessment of the capabilities of cubesats for earth observation. Acta Astronautica, 74:50–68, 2012. Sendamarai et al. [2016] P. Sendamarai, M. N. Giri Prasad, S. Madhava Prabhu, and K. N. Nagesh. A cdf based lifting scheme for the satellite image compression. 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC), 2016. Slater et al. [2020] Windy S Slater, Nayana P Tiwari, Tyler M Lovelly, and Jesse K Mee. Total ionizing dose radiation testing of nvidia jetson nano gpus. In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. Zhang et al. [2018] Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. P. Sendamarai, M. N. Giri Prasad, S. Madhava Prabhu, and K. N. Nagesh. 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In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. Zhang et al. [2018] Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021.
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Salas, Kwabena Boateng, Gregoire Marty, Malachi Mooney-Rivkin, Avery Brock, Stanley M. Krześniak, and Samuel Zuniga. Brainstack – a platform for artificial intelligence & machine learning collaborative experiments on a nano-satellite. In 37th Annual Small Satellite Conference Proceedings, Logan, Utah, 2023. NASA Ames Research Center, SmallSat Organization. Document ID: 20230011460, Report/Patent Number: SSC23-X-03, Public Use Permitted. NASA, Earth Science and Remote Sensing Unit, Johnson Space Center [2012] NASA, Earth Science and Remote Sensing Unit, Johnson Space Center. Image ISS031-E-148504 taken on June 23, 2012. https://eol.jsc.nasa.gov/SearchPhotos/photo.pl?mission=ISS031&roll=E&frame=148504, 2012. Accessed on: December 6, 2020. Oberright [2002] John E Oberright. Nanosatellite science applications. Smaller Satellites: Bigger Business? Concepts, Applications and Markets for Micro/Nanosatellites in a New Information World, pages 83–91, 2002. Ortiz et al. [2023] Flor Ortiz, Victor Monzon Baeza, Luis M. Garces-Socarras, Juan A. Vásquez-Peralvo, Jorge L. Gonzalez, Gianluca Fontanesi, Eva Lagunas, Jorge Querol, and Symeon Chatzinotas. Onboard processing in satellite communications using ai accelerators. Aerospace, 10(2), 2023. Rad et al. [2023] Ioan Octavian Rad, Ramon Maria Garcia Alarcia, Sascha Dengler, Alessandro Golkar, and Chiara Manfletti. Preliminary evaluation of commercial off-the-shelf gpus for machine learning applications in space. 2023. Rodriguez-Ferrandez et al. [2022] Ivan Rodriguez-Ferrandez, Maris Tali, Leonidas Kosmidis, Marta Rovituso, and David Steenari. Sources of single event effects in the nvidia xavier soc family under proton irradiation. 2022 IEEE 28th International Symposium on On-Line Testing and Robust System Design (IOLTS), 2022. Seltzer [1994] Stephen M Seltzer. Updated calculations for routine space-shielding radiation dose estimates: Shieldose-2. 1994. Selva and Krejci [2012] Daniel Selva and David Krejci. A survey and assessment of the capabilities of cubesats for earth observation. Acta Astronautica, 74:50–68, 2012. Sendamarai et al. [2016] P. Sendamarai, M. N. Giri Prasad, S. Madhava Prabhu, and K. N. Nagesh. A cdf based lifting scheme for the satellite image compression. 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC), 2016. Slater et al. [2020] Windy S Slater, Nayana P Tiwari, Tyler M Lovelly, and Jesse K Mee. Total ionizing dose radiation testing of nvidia jetson nano gpus. In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. Zhang et al. [2018] Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. Vasileios Leon, George Lentaris, Evangelos Petrongonas, Dimitrios Soudris, Gianluca Furano, Antonis Tavoularis, and David Moloney. Improving performance-power-programmability in space avionics with edge devices: Vbn on myriad2 soc. ACM Transactions on Embedded Computing Systems (TECS), 20(3):1–23, 2021. Lofqvist and Cano [2020] Martina Lofqvist and José Cano. Accelerating deep learning applications in space. arXiv preprint arXiv:2007.11089, 2020. Murbach et al. [2023] Marcus S. Murbach, Eric Barszcz, L. Seth Schisler, Alejandro J. Salas, Kwabena Boateng, Gregoire Marty, Malachi Mooney-Rivkin, Avery Brock, Stanley M. Krześniak, and Samuel Zuniga. Brainstack – a platform for artificial intelligence & machine learning collaborative experiments on a nano-satellite. In 37th Annual Small Satellite Conference Proceedings, Logan, Utah, 2023. NASA Ames Research Center, SmallSat Organization. Document ID: 20230011460, Report/Patent Number: SSC23-X-03, Public Use Permitted. NASA, Earth Science and Remote Sensing Unit, Johnson Space Center [2012] NASA, Earth Science and Remote Sensing Unit, Johnson Space Center. Image ISS031-E-148504 taken on June 23, 2012. https://eol.jsc.nasa.gov/SearchPhotos/photo.pl?mission=ISS031&roll=E&frame=148504, 2012. Accessed on: December 6, 2020. Oberright [2002] John E Oberright. Nanosatellite science applications. Smaller Satellites: Bigger Business? Concepts, Applications and Markets for Micro/Nanosatellites in a New Information World, pages 83–91, 2002. Ortiz et al. [2023] Flor Ortiz, Victor Monzon Baeza, Luis M. Garces-Socarras, Juan A. Vásquez-Peralvo, Jorge L. Gonzalez, Gianluca Fontanesi, Eva Lagunas, Jorge Querol, and Symeon Chatzinotas. Onboard processing in satellite communications using ai accelerators. Aerospace, 10(2), 2023. Rad et al. [2023] Ioan Octavian Rad, Ramon Maria Garcia Alarcia, Sascha Dengler, Alessandro Golkar, and Chiara Manfletti. Preliminary evaluation of commercial off-the-shelf gpus for machine learning applications in space. 2023. Rodriguez-Ferrandez et al. [2022] Ivan Rodriguez-Ferrandez, Maris Tali, Leonidas Kosmidis, Marta Rovituso, and David Steenari. Sources of single event effects in the nvidia xavier soc family under proton irradiation. 2022 IEEE 28th International Symposium on On-Line Testing and Robust System Design (IOLTS), 2022. Seltzer [1994] Stephen M Seltzer. Updated calculations for routine space-shielding radiation dose estimates: Shieldose-2. 1994. Selva and Krejci [2012] Daniel Selva and David Krejci. A survey and assessment of the capabilities of cubesats for earth observation. Acta Astronautica, 74:50–68, 2012. Sendamarai et al. [2016] P. Sendamarai, M. N. Giri Prasad, S. Madhava Prabhu, and K. N. Nagesh. A cdf based lifting scheme for the satellite image compression. 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC), 2016. Slater et al. [2020] Windy S Slater, Nayana P Tiwari, Tyler M Lovelly, and Jesse K Mee. Total ionizing dose radiation testing of nvidia jetson nano gpus. In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. Zhang et al. [2018] Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. Martina Lofqvist and José Cano. Accelerating deep learning applications in space. arXiv preprint arXiv:2007.11089, 2020. Murbach et al. [2023] Marcus S. Murbach, Eric Barszcz, L. Seth Schisler, Alejandro J. Salas, Kwabena Boateng, Gregoire Marty, Malachi Mooney-Rivkin, Avery Brock, Stanley M. Krześniak, and Samuel Zuniga. Brainstack – a platform for artificial intelligence & machine learning collaborative experiments on a nano-satellite. In 37th Annual Small Satellite Conference Proceedings, Logan, Utah, 2023. NASA Ames Research Center, SmallSat Organization. Document ID: 20230011460, Report/Patent Number: SSC23-X-03, Public Use Permitted. NASA, Earth Science and Remote Sensing Unit, Johnson Space Center [2012] NASA, Earth Science and Remote Sensing Unit, Johnson Space Center. Image ISS031-E-148504 taken on June 23, 2012. https://eol.jsc.nasa.gov/SearchPhotos/photo.pl?mission=ISS031&roll=E&frame=148504, 2012. Accessed on: December 6, 2020. Oberright [2002] John E Oberright. Nanosatellite science applications. Smaller Satellites: Bigger Business? Concepts, Applications and Markets for Micro/Nanosatellites in a New Information World, pages 83–91, 2002. Ortiz et al. [2023] Flor Ortiz, Victor Monzon Baeza, Luis M. Garces-Socarras, Juan A. Vásquez-Peralvo, Jorge L. Gonzalez, Gianluca Fontanesi, Eva Lagunas, Jorge Querol, and Symeon Chatzinotas. Onboard processing in satellite communications using ai accelerators. Aerospace, 10(2), 2023. Rad et al. [2023] Ioan Octavian Rad, Ramon Maria Garcia Alarcia, Sascha Dengler, Alessandro Golkar, and Chiara Manfletti. Preliminary evaluation of commercial off-the-shelf gpus for machine learning applications in space. 2023. Rodriguez-Ferrandez et al. [2022] Ivan Rodriguez-Ferrandez, Maris Tali, Leonidas Kosmidis, Marta Rovituso, and David Steenari. Sources of single event effects in the nvidia xavier soc family under proton irradiation. 2022 IEEE 28th International Symposium on On-Line Testing and Robust System Design (IOLTS), 2022. Seltzer [1994] Stephen M Seltzer. Updated calculations for routine space-shielding radiation dose estimates: Shieldose-2. 1994. Selva and Krejci [2012] Daniel Selva and David Krejci. A survey and assessment of the capabilities of cubesats for earth observation. Acta Astronautica, 74:50–68, 2012. Sendamarai et al. [2016] P. Sendamarai, M. N. Giri Prasad, S. Madhava Prabhu, and K. N. Nagesh. A cdf based lifting scheme for the satellite image compression. 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC), 2016. Slater et al. [2020] Windy S Slater, Nayana P Tiwari, Tyler M Lovelly, and Jesse K Mee. Total ionizing dose radiation testing of nvidia jetson nano gpus. In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. Zhang et al. [2018] Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. Marcus S. Murbach, Eric Barszcz, L. Seth Schisler, Alejandro J. Salas, Kwabena Boateng, Gregoire Marty, Malachi Mooney-Rivkin, Avery Brock, Stanley M. Krześniak, and Samuel Zuniga. Brainstack – a platform for artificial intelligence & machine learning collaborative experiments on a nano-satellite. In 37th Annual Small Satellite Conference Proceedings, Logan, Utah, 2023. NASA Ames Research Center, SmallSat Organization. Document ID: 20230011460, Report/Patent Number: SSC23-X-03, Public Use Permitted. NASA, Earth Science and Remote Sensing Unit, Johnson Space Center [2012] NASA, Earth Science and Remote Sensing Unit, Johnson Space Center. Image ISS031-E-148504 taken on June 23, 2012. https://eol.jsc.nasa.gov/SearchPhotos/photo.pl?mission=ISS031&roll=E&frame=148504, 2012. Accessed on: December 6, 2020. Oberright [2002] John E Oberright. Nanosatellite science applications. Smaller Satellites: Bigger Business? Concepts, Applications and Markets for Micro/Nanosatellites in a New Information World, pages 83–91, 2002. Ortiz et al. [2023] Flor Ortiz, Victor Monzon Baeza, Luis M. Garces-Socarras, Juan A. Vásquez-Peralvo, Jorge L. Gonzalez, Gianluca Fontanesi, Eva Lagunas, Jorge Querol, and Symeon Chatzinotas. Onboard processing in satellite communications using ai accelerators. Aerospace, 10(2), 2023. Rad et al. [2023] Ioan Octavian Rad, Ramon Maria Garcia Alarcia, Sascha Dengler, Alessandro Golkar, and Chiara Manfletti. Preliminary evaluation of commercial off-the-shelf gpus for machine learning applications in space. 2023. Rodriguez-Ferrandez et al. [2022] Ivan Rodriguez-Ferrandez, Maris Tali, Leonidas Kosmidis, Marta Rovituso, and David Steenari. Sources of single event effects in the nvidia xavier soc family under proton irradiation. 2022 IEEE 28th International Symposium on On-Line Testing and Robust System Design (IOLTS), 2022. Seltzer [1994] Stephen M Seltzer. Updated calculations for routine space-shielding radiation dose estimates: Shieldose-2. 1994. Selva and Krejci [2012] Daniel Selva and David Krejci. A survey and assessment of the capabilities of cubesats for earth observation. Acta Astronautica, 74:50–68, 2012. Sendamarai et al. [2016] P. Sendamarai, M. N. Giri Prasad, S. Madhava Prabhu, and K. N. Nagesh. A cdf based lifting scheme for the satellite image compression. 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC), 2016. Slater et al. [2020] Windy S Slater, Nayana P Tiwari, Tyler M Lovelly, and Jesse K Mee. Total ionizing dose radiation testing of nvidia jetson nano gpus. In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. Zhang et al. [2018] Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. NASA, Earth Science and Remote Sensing Unit, Johnson Space Center. Image ISS031-E-148504 taken on June 23, 2012. https://eol.jsc.nasa.gov/SearchPhotos/photo.pl?mission=ISS031&roll=E&frame=148504, 2012. Accessed on: December 6, 2020. Oberright [2002] John E Oberright. Nanosatellite science applications. Smaller Satellites: Bigger Business? Concepts, Applications and Markets for Micro/Nanosatellites in a New Information World, pages 83–91, 2002. Ortiz et al. [2023] Flor Ortiz, Victor Monzon Baeza, Luis M. Garces-Socarras, Juan A. Vásquez-Peralvo, Jorge L. Gonzalez, Gianluca Fontanesi, Eva Lagunas, Jorge Querol, and Symeon Chatzinotas. Onboard processing in satellite communications using ai accelerators. Aerospace, 10(2), 2023. Rad et al. [2023] Ioan Octavian Rad, Ramon Maria Garcia Alarcia, Sascha Dengler, Alessandro Golkar, and Chiara Manfletti. Preliminary evaluation of commercial off-the-shelf gpus for machine learning applications in space. 2023. Rodriguez-Ferrandez et al. [2022] Ivan Rodriguez-Ferrandez, Maris Tali, Leonidas Kosmidis, Marta Rovituso, and David Steenari. Sources of single event effects in the nvidia xavier soc family under proton irradiation. 2022 IEEE 28th International Symposium on On-Line Testing and Robust System Design (IOLTS), 2022. Seltzer [1994] Stephen M Seltzer. Updated calculations for routine space-shielding radiation dose estimates: Shieldose-2. 1994. Selva and Krejci [2012] Daniel Selva and David Krejci. A survey and assessment of the capabilities of cubesats for earth observation. Acta Astronautica, 74:50–68, 2012. Sendamarai et al. [2016] P. Sendamarai, M. N. Giri Prasad, S. Madhava Prabhu, and K. N. Nagesh. A cdf based lifting scheme for the satellite image compression. 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC), 2016. Slater et al. [2020] Windy S Slater, Nayana P Tiwari, Tyler M Lovelly, and Jesse K Mee. Total ionizing dose radiation testing of nvidia jetson nano gpus. In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. Zhang et al. [2018] Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. John E Oberright. Nanosatellite science applications. Smaller Satellites: Bigger Business? Concepts, Applications and Markets for Micro/Nanosatellites in a New Information World, pages 83–91, 2002. Ortiz et al. [2023] Flor Ortiz, Victor Monzon Baeza, Luis M. Garces-Socarras, Juan A. Vásquez-Peralvo, Jorge L. Gonzalez, Gianluca Fontanesi, Eva Lagunas, Jorge Querol, and Symeon Chatzinotas. Onboard processing in satellite communications using ai accelerators. Aerospace, 10(2), 2023. Rad et al. [2023] Ioan Octavian Rad, Ramon Maria Garcia Alarcia, Sascha Dengler, Alessandro Golkar, and Chiara Manfletti. Preliminary evaluation of commercial off-the-shelf gpus for machine learning applications in space. 2023. Rodriguez-Ferrandez et al. [2022] Ivan Rodriguez-Ferrandez, Maris Tali, Leonidas Kosmidis, Marta Rovituso, and David Steenari. Sources of single event effects in the nvidia xavier soc family under proton irradiation. 2022 IEEE 28th International Symposium on On-Line Testing and Robust System Design (IOLTS), 2022. Seltzer [1994] Stephen M Seltzer. Updated calculations for routine space-shielding radiation dose estimates: Shieldose-2. 1994. Selva and Krejci [2012] Daniel Selva and David Krejci. A survey and assessment of the capabilities of cubesats for earth observation. Acta Astronautica, 74:50–68, 2012. Sendamarai et al. [2016] P. Sendamarai, M. N. Giri Prasad, S. Madhava Prabhu, and K. N. Nagesh. A cdf based lifting scheme for the satellite image compression. 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC), 2016. Slater et al. [2020] Windy S Slater, Nayana P Tiwari, Tyler M Lovelly, and Jesse K Mee. Total ionizing dose radiation testing of nvidia jetson nano gpus. In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. Zhang et al. [2018] Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. Flor Ortiz, Victor Monzon Baeza, Luis M. Garces-Socarras, Juan A. Vásquez-Peralvo, Jorge L. Gonzalez, Gianluca Fontanesi, Eva Lagunas, Jorge Querol, and Symeon Chatzinotas. Onboard processing in satellite communications using ai accelerators. Aerospace, 10(2), 2023. Rad et al. [2023] Ioan Octavian Rad, Ramon Maria Garcia Alarcia, Sascha Dengler, Alessandro Golkar, and Chiara Manfletti. Preliminary evaluation of commercial off-the-shelf gpus for machine learning applications in space. 2023. Rodriguez-Ferrandez et al. [2022] Ivan Rodriguez-Ferrandez, Maris Tali, Leonidas Kosmidis, Marta Rovituso, and David Steenari. Sources of single event effects in the nvidia xavier soc family under proton irradiation. 2022 IEEE 28th International Symposium on On-Line Testing and Robust System Design (IOLTS), 2022. Seltzer [1994] Stephen M Seltzer. Updated calculations for routine space-shielding radiation dose estimates: Shieldose-2. 1994. Selva and Krejci [2012] Daniel Selva and David Krejci. A survey and assessment of the capabilities of cubesats for earth observation. Acta Astronautica, 74:50–68, 2012. Sendamarai et al. [2016] P. Sendamarai, M. N. Giri Prasad, S. Madhava Prabhu, and K. N. Nagesh. A cdf based lifting scheme for the satellite image compression. 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC), 2016. Slater et al. [2020] Windy S Slater, Nayana P Tiwari, Tyler M Lovelly, and Jesse K Mee. Total ionizing dose radiation testing of nvidia jetson nano gpus. In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. Zhang et al. [2018] Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. Ioan Octavian Rad, Ramon Maria Garcia Alarcia, Sascha Dengler, Alessandro Golkar, and Chiara Manfletti. Preliminary evaluation of commercial off-the-shelf gpus for machine learning applications in space. 2023. Rodriguez-Ferrandez et al. [2022] Ivan Rodriguez-Ferrandez, Maris Tali, Leonidas Kosmidis, Marta Rovituso, and David Steenari. Sources of single event effects in the nvidia xavier soc family under proton irradiation. 2022 IEEE 28th International Symposium on On-Line Testing and Robust System Design (IOLTS), 2022. Seltzer [1994] Stephen M Seltzer. Updated calculations for routine space-shielding radiation dose estimates: Shieldose-2. 1994. Selva and Krejci [2012] Daniel Selva and David Krejci. A survey and assessment of the capabilities of cubesats for earth observation. Acta Astronautica, 74:50–68, 2012. Sendamarai et al. [2016] P. Sendamarai, M. N. Giri Prasad, S. Madhava Prabhu, and K. N. Nagesh. A cdf based lifting scheme for the satellite image compression. 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC), 2016. Slater et al. [2020] Windy S Slater, Nayana P Tiwari, Tyler M Lovelly, and Jesse K Mee. Total ionizing dose radiation testing of nvidia jetson nano gpus. In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. Zhang et al. [2018] Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. Ivan Rodriguez-Ferrandez, Maris Tali, Leonidas Kosmidis, Marta Rovituso, and David Steenari. Sources of single event effects in the nvidia xavier soc family under proton irradiation. 2022 IEEE 28th International Symposium on On-Line Testing and Robust System Design (IOLTS), 2022. Seltzer [1994] Stephen M Seltzer. Updated calculations for routine space-shielding radiation dose estimates: Shieldose-2. 1994. Selva and Krejci [2012] Daniel Selva and David Krejci. A survey and assessment of the capabilities of cubesats for earth observation. Acta Astronautica, 74:50–68, 2012. Sendamarai et al. [2016] P. Sendamarai, M. N. Giri Prasad, S. Madhava Prabhu, and K. N. Nagesh. A cdf based lifting scheme for the satellite image compression. 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC), 2016. Slater et al. [2020] Windy S Slater, Nayana P Tiwari, Tyler M Lovelly, and Jesse K Mee. Total ionizing dose radiation testing of nvidia jetson nano gpus. In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. Zhang et al. [2018] Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. Stephen M Seltzer. Updated calculations for routine space-shielding radiation dose estimates: Shieldose-2. 1994. Selva and Krejci [2012] Daniel Selva and David Krejci. A survey and assessment of the capabilities of cubesats for earth observation. Acta Astronautica, 74:50–68, 2012. Sendamarai et al. [2016] P. Sendamarai, M. N. Giri Prasad, S. Madhava Prabhu, and K. N. Nagesh. A cdf based lifting scheme for the satellite image compression. 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC), 2016. Slater et al. [2020] Windy S Slater, Nayana P Tiwari, Tyler M Lovelly, and Jesse K Mee. Total ionizing dose radiation testing of nvidia jetson nano gpus. In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. Zhang et al. [2018] Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. Daniel Selva and David Krejci. A survey and assessment of the capabilities of cubesats for earth observation. Acta Astronautica, 74:50–68, 2012. Sendamarai et al. [2016] P. Sendamarai, M. N. Giri Prasad, S. Madhava Prabhu, and K. N. Nagesh. A cdf based lifting scheme for the satellite image compression. 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC), 2016. Slater et al. [2020] Windy S Slater, Nayana P Tiwari, Tyler M Lovelly, and Jesse K Mee. Total ionizing dose radiation testing of nvidia jetson nano gpus. In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. Zhang et al. [2018] Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. P. Sendamarai, M. N. Giri Prasad, S. Madhava Prabhu, and K. N. Nagesh. A cdf based lifting scheme for the satellite image compression. 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC), 2016. Slater et al. [2020] Windy S Slater, Nayana P Tiwari, Tyler M Lovelly, and Jesse K Mee. Total ionizing dose radiation testing of nvidia jetson nano gpus. In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. Zhang et al. [2018] Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. Windy S Slater, Nayana P Tiwari, Tyler M Lovelly, and Jesse K Mee. Total ionizing dose radiation testing of nvidia jetson nano gpus. In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. Zhang et al. [2018] Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021.
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In 37th Annual Small Satellite Conference Proceedings, Logan, Utah, 2023. NASA Ames Research Center, SmallSat Organization. Document ID: 20230011460, Report/Patent Number: SSC23-X-03, Public Use Permitted. NASA, Earth Science and Remote Sensing Unit, Johnson Space Center [2012] NASA, Earth Science and Remote Sensing Unit, Johnson Space Center. Image ISS031-E-148504 taken on June 23, 2012. https://eol.jsc.nasa.gov/SearchPhotos/photo.pl?mission=ISS031&roll=E&frame=148504, 2012. Accessed on: December 6, 2020. Oberright [2002] John E Oberright. Nanosatellite science applications. Smaller Satellites: Bigger Business? Concepts, Applications and Markets for Micro/Nanosatellites in a New Information World, pages 83–91, 2002. Ortiz et al. [2023] Flor Ortiz, Victor Monzon Baeza, Luis M. Garces-Socarras, Juan A. Vásquez-Peralvo, Jorge L. Gonzalez, Gianluca Fontanesi, Eva Lagunas, Jorge Querol, and Symeon Chatzinotas. Onboard processing in satellite communications using ai accelerators. Aerospace, 10(2), 2023. Rad et al. [2023] Ioan Octavian Rad, Ramon Maria Garcia Alarcia, Sascha Dengler, Alessandro Golkar, and Chiara Manfletti. Preliminary evaluation of commercial off-the-shelf gpus for machine learning applications in space. 2023. Rodriguez-Ferrandez et al. [2022] Ivan Rodriguez-Ferrandez, Maris Tali, Leonidas Kosmidis, Marta Rovituso, and David Steenari. Sources of single event effects in the nvidia xavier soc family under proton irradiation. 2022 IEEE 28th International Symposium on On-Line Testing and Robust System Design (IOLTS), 2022. Seltzer [1994] Stephen M Seltzer. Updated calculations for routine space-shielding radiation dose estimates: Shieldose-2. 1994. Selva and Krejci [2012] Daniel Selva and David Krejci. A survey and assessment of the capabilities of cubesats for earth observation. Acta Astronautica, 74:50–68, 2012. Sendamarai et al. [2016] P. Sendamarai, M. N. Giri Prasad, S. Madhava Prabhu, and K. N. Nagesh. A cdf based lifting scheme for the satellite image compression. 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC), 2016. Slater et al. [2020] Windy S Slater, Nayana P Tiwari, Tyler M Lovelly, and Jesse K Mee. Total ionizing dose radiation testing of nvidia jetson nano gpus. In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. Zhang et al. [2018] Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. Vasileios Leon, George Lentaris, Evangelos Petrongonas, Dimitrios Soudris, Gianluca Furano, Antonis Tavoularis, and David Moloney. Improving performance-power-programmability in space avionics with edge devices: Vbn on myriad2 soc. ACM Transactions on Embedded Computing Systems (TECS), 20(3):1–23, 2021. Lofqvist and Cano [2020] Martina Lofqvist and José Cano. Accelerating deep learning applications in space. arXiv preprint arXiv:2007.11089, 2020. Murbach et al. [2023] Marcus S. Murbach, Eric Barszcz, L. Seth Schisler, Alejandro J. Salas, Kwabena Boateng, Gregoire Marty, Malachi Mooney-Rivkin, Avery Brock, Stanley M. Krześniak, and Samuel Zuniga. Brainstack – a platform for artificial intelligence & machine learning collaborative experiments on a nano-satellite. In 37th Annual Small Satellite Conference Proceedings, Logan, Utah, 2023. NASA Ames Research Center, SmallSat Organization. Document ID: 20230011460, Report/Patent Number: SSC23-X-03, Public Use Permitted. NASA, Earth Science and Remote Sensing Unit, Johnson Space Center [2012] NASA, Earth Science and Remote Sensing Unit, Johnson Space Center. Image ISS031-E-148504 taken on June 23, 2012. https://eol.jsc.nasa.gov/SearchPhotos/photo.pl?mission=ISS031&roll=E&frame=148504, 2012. Accessed on: December 6, 2020. Oberright [2002] John E Oberright. Nanosatellite science applications. Smaller Satellites: Bigger Business? Concepts, Applications and Markets for Micro/Nanosatellites in a New Information World, pages 83–91, 2002. Ortiz et al. [2023] Flor Ortiz, Victor Monzon Baeza, Luis M. Garces-Socarras, Juan A. Vásquez-Peralvo, Jorge L. Gonzalez, Gianluca Fontanesi, Eva Lagunas, Jorge Querol, and Symeon Chatzinotas. Onboard processing in satellite communications using ai accelerators. Aerospace, 10(2), 2023. Rad et al. [2023] Ioan Octavian Rad, Ramon Maria Garcia Alarcia, Sascha Dengler, Alessandro Golkar, and Chiara Manfletti. Preliminary evaluation of commercial off-the-shelf gpus for machine learning applications in space. 2023. Rodriguez-Ferrandez et al. [2022] Ivan Rodriguez-Ferrandez, Maris Tali, Leonidas Kosmidis, Marta Rovituso, and David Steenari. Sources of single event effects in the nvidia xavier soc family under proton irradiation. 2022 IEEE 28th International Symposium on On-Line Testing and Robust System Design (IOLTS), 2022. Seltzer [1994] Stephen M Seltzer. Updated calculations for routine space-shielding radiation dose estimates: Shieldose-2. 1994. Selva and Krejci [2012] Daniel Selva and David Krejci. A survey and assessment of the capabilities of cubesats for earth observation. Acta Astronautica, 74:50–68, 2012. Sendamarai et al. [2016] P. Sendamarai, M. N. Giri Prasad, S. Madhava Prabhu, and K. N. Nagesh. A cdf based lifting scheme for the satellite image compression. 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC), 2016. Slater et al. [2020] Windy S Slater, Nayana P Tiwari, Tyler M Lovelly, and Jesse K Mee. Total ionizing dose radiation testing of nvidia jetson nano gpus. In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. Zhang et al. [2018] Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. Martina Lofqvist and José Cano. Accelerating deep learning applications in space. arXiv preprint arXiv:2007.11089, 2020. Murbach et al. [2023] Marcus S. Murbach, Eric Barszcz, L. Seth Schisler, Alejandro J. Salas, Kwabena Boateng, Gregoire Marty, Malachi Mooney-Rivkin, Avery Brock, Stanley M. Krześniak, and Samuel Zuniga. Brainstack – a platform for artificial intelligence & machine learning collaborative experiments on a nano-satellite. In 37th Annual Small Satellite Conference Proceedings, Logan, Utah, 2023. NASA Ames Research Center, SmallSat Organization. Document ID: 20230011460, Report/Patent Number: SSC23-X-03, Public Use Permitted. NASA, Earth Science and Remote Sensing Unit, Johnson Space Center [2012] NASA, Earth Science and Remote Sensing Unit, Johnson Space Center. Image ISS031-E-148504 taken on June 23, 2012. https://eol.jsc.nasa.gov/SearchPhotos/photo.pl?mission=ISS031&roll=E&frame=148504, 2012. Accessed on: December 6, 2020. Oberright [2002] John E Oberright. Nanosatellite science applications. Smaller Satellites: Bigger Business? Concepts, Applications and Markets for Micro/Nanosatellites in a New Information World, pages 83–91, 2002. Ortiz et al. [2023] Flor Ortiz, Victor Monzon Baeza, Luis M. Garces-Socarras, Juan A. Vásquez-Peralvo, Jorge L. Gonzalez, Gianluca Fontanesi, Eva Lagunas, Jorge Querol, and Symeon Chatzinotas. Onboard processing in satellite communications using ai accelerators. Aerospace, 10(2), 2023. Rad et al. [2023] Ioan Octavian Rad, Ramon Maria Garcia Alarcia, Sascha Dengler, Alessandro Golkar, and Chiara Manfletti. Preliminary evaluation of commercial off-the-shelf gpus for machine learning applications in space. 2023. Rodriguez-Ferrandez et al. [2022] Ivan Rodriguez-Ferrandez, Maris Tali, Leonidas Kosmidis, Marta Rovituso, and David Steenari. Sources of single event effects in the nvidia xavier soc family under proton irradiation. 2022 IEEE 28th International Symposium on On-Line Testing and Robust System Design (IOLTS), 2022. Seltzer [1994] Stephen M Seltzer. Updated calculations for routine space-shielding radiation dose estimates: Shieldose-2. 1994. Selva and Krejci [2012] Daniel Selva and David Krejci. A survey and assessment of the capabilities of cubesats for earth observation. Acta Astronautica, 74:50–68, 2012. Sendamarai et al. [2016] P. Sendamarai, M. N. Giri Prasad, S. Madhava Prabhu, and K. N. Nagesh. A cdf based lifting scheme for the satellite image compression. 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC), 2016. Slater et al. [2020] Windy S Slater, Nayana P Tiwari, Tyler M Lovelly, and Jesse K Mee. Total ionizing dose radiation testing of nvidia jetson nano gpus. In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. Zhang et al. [2018] Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. Marcus S. Murbach, Eric Barszcz, L. Seth Schisler, Alejandro J. Salas, Kwabena Boateng, Gregoire Marty, Malachi Mooney-Rivkin, Avery Brock, Stanley M. Krześniak, and Samuel Zuniga. Brainstack – a platform for artificial intelligence & machine learning collaborative experiments on a nano-satellite. In 37th Annual Small Satellite Conference Proceedings, Logan, Utah, 2023. NASA Ames Research Center, SmallSat Organization. Document ID: 20230011460, Report/Patent Number: SSC23-X-03, Public Use Permitted. NASA, Earth Science and Remote Sensing Unit, Johnson Space Center [2012] NASA, Earth Science and Remote Sensing Unit, Johnson Space Center. Image ISS031-E-148504 taken on June 23, 2012. https://eol.jsc.nasa.gov/SearchPhotos/photo.pl?mission=ISS031&roll=E&frame=148504, 2012. Accessed on: December 6, 2020. Oberright [2002] John E Oberright. Nanosatellite science applications. Smaller Satellites: Bigger Business? Concepts, Applications and Markets for Micro/Nanosatellites in a New Information World, pages 83–91, 2002. Ortiz et al. [2023] Flor Ortiz, Victor Monzon Baeza, Luis M. Garces-Socarras, Juan A. Vásquez-Peralvo, Jorge L. Gonzalez, Gianluca Fontanesi, Eva Lagunas, Jorge Querol, and Symeon Chatzinotas. Onboard processing in satellite communications using ai accelerators. Aerospace, 10(2), 2023. Rad et al. [2023] Ioan Octavian Rad, Ramon Maria Garcia Alarcia, Sascha Dengler, Alessandro Golkar, and Chiara Manfletti. Preliminary evaluation of commercial off-the-shelf gpus for machine learning applications in space. 2023. Rodriguez-Ferrandez et al. [2022] Ivan Rodriguez-Ferrandez, Maris Tali, Leonidas Kosmidis, Marta Rovituso, and David Steenari. Sources of single event effects in the nvidia xavier soc family under proton irradiation. 2022 IEEE 28th International Symposium on On-Line Testing and Robust System Design (IOLTS), 2022. Seltzer [1994] Stephen M Seltzer. Updated calculations for routine space-shielding radiation dose estimates: Shieldose-2. 1994. Selva and Krejci [2012] Daniel Selva and David Krejci. A survey and assessment of the capabilities of cubesats for earth observation. Acta Astronautica, 74:50–68, 2012. Sendamarai et al. [2016] P. Sendamarai, M. N. Giri Prasad, S. Madhava Prabhu, and K. N. Nagesh. A cdf based lifting scheme for the satellite image compression. 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC), 2016. Slater et al. [2020] Windy S Slater, Nayana P Tiwari, Tyler M Lovelly, and Jesse K Mee. Total ionizing dose radiation testing of nvidia jetson nano gpus. In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. Zhang et al. [2018] Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. NASA, Earth Science and Remote Sensing Unit, Johnson Space Center. Image ISS031-E-148504 taken on June 23, 2012. https://eol.jsc.nasa.gov/SearchPhotos/photo.pl?mission=ISS031&roll=E&frame=148504, 2012. Accessed on: December 6, 2020. Oberright [2002] John E Oberright. Nanosatellite science applications. Smaller Satellites: Bigger Business? Concepts, Applications and Markets for Micro/Nanosatellites in a New Information World, pages 83–91, 2002. Ortiz et al. [2023] Flor Ortiz, Victor Monzon Baeza, Luis M. Garces-Socarras, Juan A. Vásquez-Peralvo, Jorge L. Gonzalez, Gianluca Fontanesi, Eva Lagunas, Jorge Querol, and Symeon Chatzinotas. Onboard processing in satellite communications using ai accelerators. Aerospace, 10(2), 2023. Rad et al. [2023] Ioan Octavian Rad, Ramon Maria Garcia Alarcia, Sascha Dengler, Alessandro Golkar, and Chiara Manfletti. Preliminary evaluation of commercial off-the-shelf gpus for machine learning applications in space. 2023. Rodriguez-Ferrandez et al. [2022] Ivan Rodriguez-Ferrandez, Maris Tali, Leonidas Kosmidis, Marta Rovituso, and David Steenari. Sources of single event effects in the nvidia xavier soc family under proton irradiation. 2022 IEEE 28th International Symposium on On-Line Testing and Robust System Design (IOLTS), 2022. Seltzer [1994] Stephen M Seltzer. Updated calculations for routine space-shielding radiation dose estimates: Shieldose-2. 1994. Selva and Krejci [2012] Daniel Selva and David Krejci. A survey and assessment of the capabilities of cubesats for earth observation. Acta Astronautica, 74:50–68, 2012. Sendamarai et al. [2016] P. Sendamarai, M. N. Giri Prasad, S. Madhava Prabhu, and K. N. Nagesh. A cdf based lifting scheme for the satellite image compression. 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC), 2016. Slater et al. [2020] Windy S Slater, Nayana P Tiwari, Tyler M Lovelly, and Jesse K Mee. Total ionizing dose radiation testing of nvidia jetson nano gpus. In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. Zhang et al. [2018] Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. John E Oberright. Nanosatellite science applications. Smaller Satellites: Bigger Business? Concepts, Applications and Markets for Micro/Nanosatellites in a New Information World, pages 83–91, 2002. Ortiz et al. [2023] Flor Ortiz, Victor Monzon Baeza, Luis M. Garces-Socarras, Juan A. Vásquez-Peralvo, Jorge L. Gonzalez, Gianluca Fontanesi, Eva Lagunas, Jorge Querol, and Symeon Chatzinotas. Onboard processing in satellite communications using ai accelerators. Aerospace, 10(2), 2023. Rad et al. [2023] Ioan Octavian Rad, Ramon Maria Garcia Alarcia, Sascha Dengler, Alessandro Golkar, and Chiara Manfletti. Preliminary evaluation of commercial off-the-shelf gpus for machine learning applications in space. 2023. Rodriguez-Ferrandez et al. [2022] Ivan Rodriguez-Ferrandez, Maris Tali, Leonidas Kosmidis, Marta Rovituso, and David Steenari. Sources of single event effects in the nvidia xavier soc family under proton irradiation. 2022 IEEE 28th International Symposium on On-Line Testing and Robust System Design (IOLTS), 2022. Seltzer [1994] Stephen M Seltzer. Updated calculations for routine space-shielding radiation dose estimates: Shieldose-2. 1994. Selva and Krejci [2012] Daniel Selva and David Krejci. A survey and assessment of the capabilities of cubesats for earth observation. Acta Astronautica, 74:50–68, 2012. Sendamarai et al. [2016] P. Sendamarai, M. N. Giri Prasad, S. Madhava Prabhu, and K. N. Nagesh. A cdf based lifting scheme for the satellite image compression. 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC), 2016. Slater et al. [2020] Windy S Slater, Nayana P Tiwari, Tyler M Lovelly, and Jesse K Mee. Total ionizing dose radiation testing of nvidia jetson nano gpus. In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. Zhang et al. [2018] Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. Flor Ortiz, Victor Monzon Baeza, Luis M. Garces-Socarras, Juan A. Vásquez-Peralvo, Jorge L. Gonzalez, Gianluca Fontanesi, Eva Lagunas, Jorge Querol, and Symeon Chatzinotas. Onboard processing in satellite communications using ai accelerators. Aerospace, 10(2), 2023. Rad et al. [2023] Ioan Octavian Rad, Ramon Maria Garcia Alarcia, Sascha Dengler, Alessandro Golkar, and Chiara Manfletti. Preliminary evaluation of commercial off-the-shelf gpus for machine learning applications in space. 2023. Rodriguez-Ferrandez et al. [2022] Ivan Rodriguez-Ferrandez, Maris Tali, Leonidas Kosmidis, Marta Rovituso, and David Steenari. Sources of single event effects in the nvidia xavier soc family under proton irradiation. 2022 IEEE 28th International Symposium on On-Line Testing and Robust System Design (IOLTS), 2022. Seltzer [1994] Stephen M Seltzer. Updated calculations for routine space-shielding radiation dose estimates: Shieldose-2. 1994. Selva and Krejci [2012] Daniel Selva and David Krejci. A survey and assessment of the capabilities of cubesats for earth observation. Acta Astronautica, 74:50–68, 2012. Sendamarai et al. [2016] P. Sendamarai, M. N. Giri Prasad, S. Madhava Prabhu, and K. N. Nagesh. A cdf based lifting scheme for the satellite image compression. 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC), 2016. Slater et al. [2020] Windy S Slater, Nayana P Tiwari, Tyler M Lovelly, and Jesse K Mee. Total ionizing dose radiation testing of nvidia jetson nano gpus. In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. Zhang et al. [2018] Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. Ioan Octavian Rad, Ramon Maria Garcia Alarcia, Sascha Dengler, Alessandro Golkar, and Chiara Manfletti. Preliminary evaluation of commercial off-the-shelf gpus for machine learning applications in space. 2023. Rodriguez-Ferrandez et al. [2022] Ivan Rodriguez-Ferrandez, Maris Tali, Leonidas Kosmidis, Marta Rovituso, and David Steenari. Sources of single event effects in the nvidia xavier soc family under proton irradiation. 2022 IEEE 28th International Symposium on On-Line Testing and Robust System Design (IOLTS), 2022. Seltzer [1994] Stephen M Seltzer. Updated calculations for routine space-shielding radiation dose estimates: Shieldose-2. 1994. Selva and Krejci [2012] Daniel Selva and David Krejci. A survey and assessment of the capabilities of cubesats for earth observation. Acta Astronautica, 74:50–68, 2012. Sendamarai et al. [2016] P. Sendamarai, M. N. Giri Prasad, S. Madhava Prabhu, and K. N. Nagesh. A cdf based lifting scheme for the satellite image compression. 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC), 2016. Slater et al. [2020] Windy S Slater, Nayana P Tiwari, Tyler M Lovelly, and Jesse K Mee. Total ionizing dose radiation testing of nvidia jetson nano gpus. In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. Zhang et al. [2018] Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. Ivan Rodriguez-Ferrandez, Maris Tali, Leonidas Kosmidis, Marta Rovituso, and David Steenari. Sources of single event effects in the nvidia xavier soc family under proton irradiation. 2022 IEEE 28th International Symposium on On-Line Testing and Robust System Design (IOLTS), 2022. Seltzer [1994] Stephen M Seltzer. Updated calculations for routine space-shielding radiation dose estimates: Shieldose-2. 1994. Selva and Krejci [2012] Daniel Selva and David Krejci. A survey and assessment of the capabilities of cubesats for earth observation. Acta Astronautica, 74:50–68, 2012. Sendamarai et al. [2016] P. Sendamarai, M. N. Giri Prasad, S. Madhava Prabhu, and K. N. Nagesh. A cdf based lifting scheme for the satellite image compression. 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC), 2016. Slater et al. [2020] Windy S Slater, Nayana P Tiwari, Tyler M Lovelly, and Jesse K Mee. Total ionizing dose radiation testing of nvidia jetson nano gpus. In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. Zhang et al. [2018] Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. Stephen M Seltzer. Updated calculations for routine space-shielding radiation dose estimates: Shieldose-2. 1994. Selva and Krejci [2012] Daniel Selva and David Krejci. A survey and assessment of the capabilities of cubesats for earth observation. Acta Astronautica, 74:50–68, 2012. Sendamarai et al. [2016] P. Sendamarai, M. N. Giri Prasad, S. Madhava Prabhu, and K. N. Nagesh. A cdf based lifting scheme for the satellite image compression. 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC), 2016. Slater et al. [2020] Windy S Slater, Nayana P Tiwari, Tyler M Lovelly, and Jesse K Mee. Total ionizing dose radiation testing of nvidia jetson nano gpus. In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. Zhang et al. [2018] Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. Daniel Selva and David Krejci. A survey and assessment of the capabilities of cubesats for earth observation. Acta Astronautica, 74:50–68, 2012. Sendamarai et al. [2016] P. Sendamarai, M. N. Giri Prasad, S. Madhava Prabhu, and K. N. Nagesh. A cdf based lifting scheme for the satellite image compression. 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC), 2016. Slater et al. [2020] Windy S Slater, Nayana P Tiwari, Tyler M Lovelly, and Jesse K Mee. Total ionizing dose radiation testing of nvidia jetson nano gpus. In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. Zhang et al. [2018] Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. P. Sendamarai, M. N. Giri Prasad, S. Madhava Prabhu, and K. N. Nagesh. A cdf based lifting scheme for the satellite image compression. 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC), 2016. Slater et al. [2020] Windy S Slater, Nayana P Tiwari, Tyler M Lovelly, and Jesse K Mee. Total ionizing dose radiation testing of nvidia jetson nano gpus. In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. Zhang et al. [2018] Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. Windy S Slater, Nayana P Tiwari, Tyler M Lovelly, and Jesse K Mee. Total ionizing dose radiation testing of nvidia jetson nano gpus. In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. Zhang et al. [2018] Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021.
  15. Improving performance-power-programmability in space avionics with edge devices: Vbn on myriad2 soc. ACM Transactions on Embedded Computing Systems (TECS), 20(3):1–23, 2021. Lofqvist and Cano [2020] Martina Lofqvist and José Cano. Accelerating deep learning applications in space. arXiv preprint arXiv:2007.11089, 2020. Murbach et al. [2023] Marcus S. Murbach, Eric Barszcz, L. Seth Schisler, Alejandro J. Salas, Kwabena Boateng, Gregoire Marty, Malachi Mooney-Rivkin, Avery Brock, Stanley M. Krześniak, and Samuel Zuniga. Brainstack – a platform for artificial intelligence & machine learning collaborative experiments on a nano-satellite. In 37th Annual Small Satellite Conference Proceedings, Logan, Utah, 2023. NASA Ames Research Center, SmallSat Organization. Document ID: 20230011460, Report/Patent Number: SSC23-X-03, Public Use Permitted. NASA, Earth Science and Remote Sensing Unit, Johnson Space Center [2012] NASA, Earth Science and Remote Sensing Unit, Johnson Space Center. Image ISS031-E-148504 taken on June 23, 2012. https://eol.jsc.nasa.gov/SearchPhotos/photo.pl?mission=ISS031&roll=E&frame=148504, 2012. Accessed on: December 6, 2020. Oberright [2002] John E Oberright. Nanosatellite science applications. Smaller Satellites: Bigger Business? Concepts, Applications and Markets for Micro/Nanosatellites in a New Information World, pages 83–91, 2002. Ortiz et al. [2023] Flor Ortiz, Victor Monzon Baeza, Luis M. Garces-Socarras, Juan A. Vásquez-Peralvo, Jorge L. Gonzalez, Gianluca Fontanesi, Eva Lagunas, Jorge Querol, and Symeon Chatzinotas. Onboard processing in satellite communications using ai accelerators. Aerospace, 10(2), 2023. Rad et al. [2023] Ioan Octavian Rad, Ramon Maria Garcia Alarcia, Sascha Dengler, Alessandro Golkar, and Chiara Manfletti. Preliminary evaluation of commercial off-the-shelf gpus for machine learning applications in space. 2023. Rodriguez-Ferrandez et al. [2022] Ivan Rodriguez-Ferrandez, Maris Tali, Leonidas Kosmidis, Marta Rovituso, and David Steenari. Sources of single event effects in the nvidia xavier soc family under proton irradiation. 2022 IEEE 28th International Symposium on On-Line Testing and Robust System Design (IOLTS), 2022. Seltzer [1994] Stephen M Seltzer. Updated calculations for routine space-shielding radiation dose estimates: Shieldose-2. 1994. Selva and Krejci [2012] Daniel Selva and David Krejci. A survey and assessment of the capabilities of cubesats for earth observation. Acta Astronautica, 74:50–68, 2012. Sendamarai et al. [2016] P. Sendamarai, M. N. Giri Prasad, S. Madhava Prabhu, and K. N. Nagesh. A cdf based lifting scheme for the satellite image compression. 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC), 2016. Slater et al. [2020] Windy S Slater, Nayana P Tiwari, Tyler M Lovelly, and Jesse K Mee. Total ionizing dose radiation testing of nvidia jetson nano gpus. In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. Zhang et al. [2018] Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. Martina Lofqvist and José Cano. Accelerating deep learning applications in space. arXiv preprint arXiv:2007.11089, 2020. Murbach et al. [2023] Marcus S. Murbach, Eric Barszcz, L. Seth Schisler, Alejandro J. Salas, Kwabena Boateng, Gregoire Marty, Malachi Mooney-Rivkin, Avery Brock, Stanley M. Krześniak, and Samuel Zuniga. Brainstack – a platform for artificial intelligence & machine learning collaborative experiments on a nano-satellite. In 37th Annual Small Satellite Conference Proceedings, Logan, Utah, 2023. NASA Ames Research Center, SmallSat Organization. Document ID: 20230011460, Report/Patent Number: SSC23-X-03, Public Use Permitted. NASA, Earth Science and Remote Sensing Unit, Johnson Space Center [2012] NASA, Earth Science and Remote Sensing Unit, Johnson Space Center. Image ISS031-E-148504 taken on June 23, 2012. https://eol.jsc.nasa.gov/SearchPhotos/photo.pl?mission=ISS031&roll=E&frame=148504, 2012. Accessed on: December 6, 2020. Oberright [2002] John E Oberright. Nanosatellite science applications. Smaller Satellites: Bigger Business? Concepts, Applications and Markets for Micro/Nanosatellites in a New Information World, pages 83–91, 2002. Ortiz et al. [2023] Flor Ortiz, Victor Monzon Baeza, Luis M. Garces-Socarras, Juan A. Vásquez-Peralvo, Jorge L. Gonzalez, Gianluca Fontanesi, Eva Lagunas, Jorge Querol, and Symeon Chatzinotas. Onboard processing in satellite communications using ai accelerators. Aerospace, 10(2), 2023. Rad et al. [2023] Ioan Octavian Rad, Ramon Maria Garcia Alarcia, Sascha Dengler, Alessandro Golkar, and Chiara Manfletti. Preliminary evaluation of commercial off-the-shelf gpus for machine learning applications in space. 2023. Rodriguez-Ferrandez et al. [2022] Ivan Rodriguez-Ferrandez, Maris Tali, Leonidas Kosmidis, Marta Rovituso, and David Steenari. Sources of single event effects in the nvidia xavier soc family under proton irradiation. 2022 IEEE 28th International Symposium on On-Line Testing and Robust System Design (IOLTS), 2022. Seltzer [1994] Stephen M Seltzer. Updated calculations for routine space-shielding radiation dose estimates: Shieldose-2. 1994. Selva and Krejci [2012] Daniel Selva and David Krejci. A survey and assessment of the capabilities of cubesats for earth observation. Acta Astronautica, 74:50–68, 2012. Sendamarai et al. [2016] P. Sendamarai, M. N. Giri Prasad, S. Madhava Prabhu, and K. N. Nagesh. A cdf based lifting scheme for the satellite image compression. 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC), 2016. Slater et al. [2020] Windy S Slater, Nayana P Tiwari, Tyler M Lovelly, and Jesse K Mee. Total ionizing dose radiation testing of nvidia jetson nano gpus. In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. Zhang et al. [2018] Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. Marcus S. Murbach, Eric Barszcz, L. Seth Schisler, Alejandro J. Salas, Kwabena Boateng, Gregoire Marty, Malachi Mooney-Rivkin, Avery Brock, Stanley M. Krześniak, and Samuel Zuniga. Brainstack – a platform for artificial intelligence & machine learning collaborative experiments on a nano-satellite. In 37th Annual Small Satellite Conference Proceedings, Logan, Utah, 2023. NASA Ames Research Center, SmallSat Organization. Document ID: 20230011460, Report/Patent Number: SSC23-X-03, Public Use Permitted. NASA, Earth Science and Remote Sensing Unit, Johnson Space Center [2012] NASA, Earth Science and Remote Sensing Unit, Johnson Space Center. Image ISS031-E-148504 taken on June 23, 2012. https://eol.jsc.nasa.gov/SearchPhotos/photo.pl?mission=ISS031&roll=E&frame=148504, 2012. Accessed on: December 6, 2020. Oberright [2002] John E Oberright. Nanosatellite science applications. Smaller Satellites: Bigger Business? Concepts, Applications and Markets for Micro/Nanosatellites in a New Information World, pages 83–91, 2002. Ortiz et al. [2023] Flor Ortiz, Victor Monzon Baeza, Luis M. Garces-Socarras, Juan A. Vásquez-Peralvo, Jorge L. Gonzalez, Gianluca Fontanesi, Eva Lagunas, Jorge Querol, and Symeon Chatzinotas. Onboard processing in satellite communications using ai accelerators. Aerospace, 10(2), 2023. Rad et al. [2023] Ioan Octavian Rad, Ramon Maria Garcia Alarcia, Sascha Dengler, Alessandro Golkar, and Chiara Manfletti. Preliminary evaluation of commercial off-the-shelf gpus for machine learning applications in space. 2023. Rodriguez-Ferrandez et al. [2022] Ivan Rodriguez-Ferrandez, Maris Tali, Leonidas Kosmidis, Marta Rovituso, and David Steenari. Sources of single event effects in the nvidia xavier soc family under proton irradiation. 2022 IEEE 28th International Symposium on On-Line Testing and Robust System Design (IOLTS), 2022. Seltzer [1994] Stephen M Seltzer. Updated calculations for routine space-shielding radiation dose estimates: Shieldose-2. 1994. Selva and Krejci [2012] Daniel Selva and David Krejci. A survey and assessment of the capabilities of cubesats for earth observation. Acta Astronautica, 74:50–68, 2012. Sendamarai et al. [2016] P. Sendamarai, M. N. Giri Prasad, S. Madhava Prabhu, and K. N. Nagesh. A cdf based lifting scheme for the satellite image compression. 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC), 2016. Slater et al. [2020] Windy S Slater, Nayana P Tiwari, Tyler M Lovelly, and Jesse K Mee. Total ionizing dose radiation testing of nvidia jetson nano gpus. In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. Zhang et al. [2018] Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. NASA, Earth Science and Remote Sensing Unit, Johnson Space Center. Image ISS031-E-148504 taken on June 23, 2012. https://eol.jsc.nasa.gov/SearchPhotos/photo.pl?mission=ISS031&roll=E&frame=148504, 2012. Accessed on: December 6, 2020. Oberright [2002] John E Oberright. Nanosatellite science applications. Smaller Satellites: Bigger Business? Concepts, Applications and Markets for Micro/Nanosatellites in a New Information World, pages 83–91, 2002. Ortiz et al. [2023] Flor Ortiz, Victor Monzon Baeza, Luis M. Garces-Socarras, Juan A. Vásquez-Peralvo, Jorge L. Gonzalez, Gianluca Fontanesi, Eva Lagunas, Jorge Querol, and Symeon Chatzinotas. Onboard processing in satellite communications using ai accelerators. Aerospace, 10(2), 2023. Rad et al. [2023] Ioan Octavian Rad, Ramon Maria Garcia Alarcia, Sascha Dengler, Alessandro Golkar, and Chiara Manfletti. Preliminary evaluation of commercial off-the-shelf gpus for machine learning applications in space. 2023. Rodriguez-Ferrandez et al. [2022] Ivan Rodriguez-Ferrandez, Maris Tali, Leonidas Kosmidis, Marta Rovituso, and David Steenari. Sources of single event effects in the nvidia xavier soc family under proton irradiation. 2022 IEEE 28th International Symposium on On-Line Testing and Robust System Design (IOLTS), 2022. Seltzer [1994] Stephen M Seltzer. Updated calculations for routine space-shielding radiation dose estimates: Shieldose-2. 1994. Selva and Krejci [2012] Daniel Selva and David Krejci. A survey and assessment of the capabilities of cubesats for earth observation. Acta Astronautica, 74:50–68, 2012. Sendamarai et al. [2016] P. Sendamarai, M. N. Giri Prasad, S. Madhava Prabhu, and K. N. Nagesh. A cdf based lifting scheme for the satellite image compression. 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC), 2016. Slater et al. [2020] Windy S Slater, Nayana P Tiwari, Tyler M Lovelly, and Jesse K Mee. Total ionizing dose radiation testing of nvidia jetson nano gpus. In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. Zhang et al. [2018] Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. John E Oberright. Nanosatellite science applications. Smaller Satellites: Bigger Business? Concepts, Applications and Markets for Micro/Nanosatellites in a New Information World, pages 83–91, 2002. Ortiz et al. [2023] Flor Ortiz, Victor Monzon Baeza, Luis M. Garces-Socarras, Juan A. Vásquez-Peralvo, Jorge L. Gonzalez, Gianluca Fontanesi, Eva Lagunas, Jorge Querol, and Symeon Chatzinotas. Onboard processing in satellite communications using ai accelerators. Aerospace, 10(2), 2023. Rad et al. [2023] Ioan Octavian Rad, Ramon Maria Garcia Alarcia, Sascha Dengler, Alessandro Golkar, and Chiara Manfletti. Preliminary evaluation of commercial off-the-shelf gpus for machine learning applications in space. 2023. Rodriguez-Ferrandez et al. [2022] Ivan Rodriguez-Ferrandez, Maris Tali, Leonidas Kosmidis, Marta Rovituso, and David Steenari. Sources of single event effects in the nvidia xavier soc family under proton irradiation. 2022 IEEE 28th International Symposium on On-Line Testing and Robust System Design (IOLTS), 2022. Seltzer [1994] Stephen M Seltzer. Updated calculations for routine space-shielding radiation dose estimates: Shieldose-2. 1994. Selva and Krejci [2012] Daniel Selva and David Krejci. A survey and assessment of the capabilities of cubesats for earth observation. Acta Astronautica, 74:50–68, 2012. Sendamarai et al. [2016] P. Sendamarai, M. N. Giri Prasad, S. Madhava Prabhu, and K. N. Nagesh. A cdf based lifting scheme for the satellite image compression. 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC), 2016. Slater et al. [2020] Windy S Slater, Nayana P Tiwari, Tyler M Lovelly, and Jesse K Mee. Total ionizing dose radiation testing of nvidia jetson nano gpus. In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. Zhang et al. [2018] Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. Flor Ortiz, Victor Monzon Baeza, Luis M. Garces-Socarras, Juan A. Vásquez-Peralvo, Jorge L. Gonzalez, Gianluca Fontanesi, Eva Lagunas, Jorge Querol, and Symeon Chatzinotas. Onboard processing in satellite communications using ai accelerators. Aerospace, 10(2), 2023. Rad et al. [2023] Ioan Octavian Rad, Ramon Maria Garcia Alarcia, Sascha Dengler, Alessandro Golkar, and Chiara Manfletti. Preliminary evaluation of commercial off-the-shelf gpus for machine learning applications in space. 2023. Rodriguez-Ferrandez et al. [2022] Ivan Rodriguez-Ferrandez, Maris Tali, Leonidas Kosmidis, Marta Rovituso, and David Steenari. Sources of single event effects in the nvidia xavier soc family under proton irradiation. 2022 IEEE 28th International Symposium on On-Line Testing and Robust System Design (IOLTS), 2022. Seltzer [1994] Stephen M Seltzer. Updated calculations for routine space-shielding radiation dose estimates: Shieldose-2. 1994. Selva and Krejci [2012] Daniel Selva and David Krejci. A survey and assessment of the capabilities of cubesats for earth observation. Acta Astronautica, 74:50–68, 2012. Sendamarai et al. [2016] P. Sendamarai, M. N. Giri Prasad, S. Madhava Prabhu, and K. N. Nagesh. A cdf based lifting scheme for the satellite image compression. 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC), 2016. Slater et al. [2020] Windy S Slater, Nayana P Tiwari, Tyler M Lovelly, and Jesse K Mee. Total ionizing dose radiation testing of nvidia jetson nano gpus. In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. Zhang et al. [2018] Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. Ioan Octavian Rad, Ramon Maria Garcia Alarcia, Sascha Dengler, Alessandro Golkar, and Chiara Manfletti. Preliminary evaluation of commercial off-the-shelf gpus for machine learning applications in space. 2023. Rodriguez-Ferrandez et al. [2022] Ivan Rodriguez-Ferrandez, Maris Tali, Leonidas Kosmidis, Marta Rovituso, and David Steenari. Sources of single event effects in the nvidia xavier soc family under proton irradiation. 2022 IEEE 28th International Symposium on On-Line Testing and Robust System Design (IOLTS), 2022. Seltzer [1994] Stephen M Seltzer. Updated calculations for routine space-shielding radiation dose estimates: Shieldose-2. 1994. Selva and Krejci [2012] Daniel Selva and David Krejci. A survey and assessment of the capabilities of cubesats for earth observation. Acta Astronautica, 74:50–68, 2012. Sendamarai et al. [2016] P. Sendamarai, M. N. Giri Prasad, S. Madhava Prabhu, and K. N. Nagesh. A cdf based lifting scheme for the satellite image compression. 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC), 2016. Slater et al. [2020] Windy S Slater, Nayana P Tiwari, Tyler M Lovelly, and Jesse K Mee. Total ionizing dose radiation testing of nvidia jetson nano gpus. In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. Zhang et al. [2018] Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. Ivan Rodriguez-Ferrandez, Maris Tali, Leonidas Kosmidis, Marta Rovituso, and David Steenari. Sources of single event effects in the nvidia xavier soc family under proton irradiation. 2022 IEEE 28th International Symposium on On-Line Testing and Robust System Design (IOLTS), 2022. Seltzer [1994] Stephen M Seltzer. Updated calculations for routine space-shielding radiation dose estimates: Shieldose-2. 1994. Selva and Krejci [2012] Daniel Selva and David Krejci. A survey and assessment of the capabilities of cubesats for earth observation. Acta Astronautica, 74:50–68, 2012. Sendamarai et al. [2016] P. Sendamarai, M. N. Giri Prasad, S. Madhava Prabhu, and K. N. Nagesh. A cdf based lifting scheme for the satellite image compression. 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC), 2016. Slater et al. [2020] Windy S Slater, Nayana P Tiwari, Tyler M Lovelly, and Jesse K Mee. Total ionizing dose radiation testing of nvidia jetson nano gpus. In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. Zhang et al. [2018] Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. Stephen M Seltzer. Updated calculations for routine space-shielding radiation dose estimates: Shieldose-2. 1994. Selva and Krejci [2012] Daniel Selva and David Krejci. A survey and assessment of the capabilities of cubesats for earth observation. Acta Astronautica, 74:50–68, 2012. Sendamarai et al. [2016] P. Sendamarai, M. N. Giri Prasad, S. Madhava Prabhu, and K. N. Nagesh. A cdf based lifting scheme for the satellite image compression. 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC), 2016. Slater et al. [2020] Windy S Slater, Nayana P Tiwari, Tyler M Lovelly, and Jesse K Mee. Total ionizing dose radiation testing of nvidia jetson nano gpus. In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. Zhang et al. [2018] Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. Daniel Selva and David Krejci. A survey and assessment of the capabilities of cubesats for earth observation. Acta Astronautica, 74:50–68, 2012. Sendamarai et al. [2016] P. Sendamarai, M. N. Giri Prasad, S. Madhava Prabhu, and K. N. Nagesh. A cdf based lifting scheme for the satellite image compression. 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC), 2016. Slater et al. [2020] Windy S Slater, Nayana P Tiwari, Tyler M Lovelly, and Jesse K Mee. Total ionizing dose radiation testing of nvidia jetson nano gpus. In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. Zhang et al. [2018] Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. P. Sendamarai, M. N. Giri Prasad, S. Madhava Prabhu, and K. N. Nagesh. A cdf based lifting scheme for the satellite image compression. 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC), 2016. Slater et al. [2020] Windy S Slater, Nayana P Tiwari, Tyler M Lovelly, and Jesse K Mee. Total ionizing dose radiation testing of nvidia jetson nano gpus. In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. Zhang et al. [2018] Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. Windy S Slater, Nayana P Tiwari, Tyler M Lovelly, and Jesse K Mee. Total ionizing dose radiation testing of nvidia jetson nano gpus. In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. Zhang et al. [2018] Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021.
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Smaller Satellites: Bigger Business? Concepts, Applications and Markets for Micro/Nanosatellites in a New Information World, pages 83–91, 2002. Ortiz et al. [2023] Flor Ortiz, Victor Monzon Baeza, Luis M. Garces-Socarras, Juan A. Vásquez-Peralvo, Jorge L. Gonzalez, Gianluca Fontanesi, Eva Lagunas, Jorge Querol, and Symeon Chatzinotas. Onboard processing in satellite communications using ai accelerators. Aerospace, 10(2), 2023. Rad et al. [2023] Ioan Octavian Rad, Ramon Maria Garcia Alarcia, Sascha Dengler, Alessandro Golkar, and Chiara Manfletti. Preliminary evaluation of commercial off-the-shelf gpus for machine learning applications in space. 2023. Rodriguez-Ferrandez et al. [2022] Ivan Rodriguez-Ferrandez, Maris Tali, Leonidas Kosmidis, Marta Rovituso, and David Steenari. Sources of single event effects in the nvidia xavier soc family under proton irradiation. 2022 IEEE 28th International Symposium on On-Line Testing and Robust System Design (IOLTS), 2022. Seltzer [1994] Stephen M Seltzer. Updated calculations for routine space-shielding radiation dose estimates: Shieldose-2. 1994. Selva and Krejci [2012] Daniel Selva and David Krejci. A survey and assessment of the capabilities of cubesats for earth observation. Acta Astronautica, 74:50–68, 2012. Sendamarai et al. [2016] P. Sendamarai, M. N. Giri Prasad, S. Madhava Prabhu, and K. N. Nagesh. A cdf based lifting scheme for the satellite image compression. 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC), 2016. Slater et al. [2020] Windy S Slater, Nayana P Tiwari, Tyler M Lovelly, and Jesse K Mee. Total ionizing dose radiation testing of nvidia jetson nano gpus. In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. Zhang et al. [2018] Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. Marcus S. Murbach, Eric Barszcz, L. Seth Schisler, Alejandro J. Salas, Kwabena Boateng, Gregoire Marty, Malachi Mooney-Rivkin, Avery Brock, Stanley M. Krześniak, and Samuel Zuniga. Brainstack – a platform for artificial intelligence & machine learning collaborative experiments on a nano-satellite. In 37th Annual Small Satellite Conference Proceedings, Logan, Utah, 2023. NASA Ames Research Center, SmallSat Organization. Document ID: 20230011460, Report/Patent Number: SSC23-X-03, Public Use Permitted. NASA, Earth Science and Remote Sensing Unit, Johnson Space Center [2012] NASA, Earth Science and Remote Sensing Unit, Johnson Space Center. Image ISS031-E-148504 taken on June 23, 2012. https://eol.jsc.nasa.gov/SearchPhotos/photo.pl?mission=ISS031&roll=E&frame=148504, 2012. Accessed on: December 6, 2020. Oberright [2002] John E Oberright. Nanosatellite science applications. Smaller Satellites: Bigger Business? Concepts, Applications and Markets for Micro/Nanosatellites in a New Information World, pages 83–91, 2002. Ortiz et al. [2023] Flor Ortiz, Victor Monzon Baeza, Luis M. Garces-Socarras, Juan A. Vásquez-Peralvo, Jorge L. Gonzalez, Gianluca Fontanesi, Eva Lagunas, Jorge Querol, and Symeon Chatzinotas. Onboard processing in satellite communications using ai accelerators. Aerospace, 10(2), 2023. Rad et al. [2023] Ioan Octavian Rad, Ramon Maria Garcia Alarcia, Sascha Dengler, Alessandro Golkar, and Chiara Manfletti. Preliminary evaluation of commercial off-the-shelf gpus for machine learning applications in space. 2023. Rodriguez-Ferrandez et al. [2022] Ivan Rodriguez-Ferrandez, Maris Tali, Leonidas Kosmidis, Marta Rovituso, and David Steenari. Sources of single event effects in the nvidia xavier soc family under proton irradiation. 2022 IEEE 28th International Symposium on On-Line Testing and Robust System Design (IOLTS), 2022. Seltzer [1994] Stephen M Seltzer. Updated calculations for routine space-shielding radiation dose estimates: Shieldose-2. 1994. Selva and Krejci [2012] Daniel Selva and David Krejci. A survey and assessment of the capabilities of cubesats for earth observation. Acta Astronautica, 74:50–68, 2012. Sendamarai et al. [2016] P. Sendamarai, M. N. Giri Prasad, S. Madhava Prabhu, and K. N. Nagesh. A cdf based lifting scheme for the satellite image compression. 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC), 2016. Slater et al. [2020] Windy S Slater, Nayana P Tiwari, Tyler M Lovelly, and Jesse K Mee. Total ionizing dose radiation testing of nvidia jetson nano gpus. In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. Zhang et al. [2018] Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. NASA, Earth Science and Remote Sensing Unit, Johnson Space Center. Image ISS031-E-148504 taken on June 23, 2012. https://eol.jsc.nasa.gov/SearchPhotos/photo.pl?mission=ISS031&roll=E&frame=148504, 2012. Accessed on: December 6, 2020. Oberright [2002] John E Oberright. Nanosatellite science applications. Smaller Satellites: Bigger Business? Concepts, Applications and Markets for Micro/Nanosatellites in a New Information World, pages 83–91, 2002. Ortiz et al. [2023] Flor Ortiz, Victor Monzon Baeza, Luis M. Garces-Socarras, Juan A. Vásquez-Peralvo, Jorge L. Gonzalez, Gianluca Fontanesi, Eva Lagunas, Jorge Querol, and Symeon Chatzinotas. Onboard processing in satellite communications using ai accelerators. Aerospace, 10(2), 2023. Rad et al. [2023] Ioan Octavian Rad, Ramon Maria Garcia Alarcia, Sascha Dengler, Alessandro Golkar, and Chiara Manfletti. Preliminary evaluation of commercial off-the-shelf gpus for machine learning applications in space. 2023. Rodriguez-Ferrandez et al. [2022] Ivan Rodriguez-Ferrandez, Maris Tali, Leonidas Kosmidis, Marta Rovituso, and David Steenari. Sources of single event effects in the nvidia xavier soc family under proton irradiation. 2022 IEEE 28th International Symposium on On-Line Testing and Robust System Design (IOLTS), 2022. Seltzer [1994] Stephen M Seltzer. Updated calculations for routine space-shielding radiation dose estimates: Shieldose-2. 1994. Selva and Krejci [2012] Daniel Selva and David Krejci. A survey and assessment of the capabilities of cubesats for earth observation. Acta Astronautica, 74:50–68, 2012. Sendamarai et al. [2016] P. Sendamarai, M. N. Giri Prasad, S. Madhava Prabhu, and K. N. Nagesh. A cdf based lifting scheme for the satellite image compression. 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC), 2016. Slater et al. [2020] Windy S Slater, Nayana P Tiwari, Tyler M Lovelly, and Jesse K Mee. Total ionizing dose radiation testing of nvidia jetson nano gpus. In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. Zhang et al. [2018] Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. John E Oberright. Nanosatellite science applications. Smaller Satellites: Bigger Business? Concepts, Applications and Markets for Micro/Nanosatellites in a New Information World, pages 83–91, 2002. Ortiz et al. [2023] Flor Ortiz, Victor Monzon Baeza, Luis M. Garces-Socarras, Juan A. Vásquez-Peralvo, Jorge L. Gonzalez, Gianluca Fontanesi, Eva Lagunas, Jorge Querol, and Symeon Chatzinotas. Onboard processing in satellite communications using ai accelerators. Aerospace, 10(2), 2023. Rad et al. [2023] Ioan Octavian Rad, Ramon Maria Garcia Alarcia, Sascha Dengler, Alessandro Golkar, and Chiara Manfletti. Preliminary evaluation of commercial off-the-shelf gpus for machine learning applications in space. 2023. Rodriguez-Ferrandez et al. [2022] Ivan Rodriguez-Ferrandez, Maris Tali, Leonidas Kosmidis, Marta Rovituso, and David Steenari. 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[2022] Ivan Rodriguez-Ferrandez, Maris Tali, Leonidas Kosmidis, Marta Rovituso, and David Steenari. Sources of single event effects in the nvidia xavier soc family under proton irradiation. 2022 IEEE 28th International Symposium on On-Line Testing and Robust System Design (IOLTS), 2022. Seltzer [1994] Stephen M Seltzer. Updated calculations for routine space-shielding radiation dose estimates: Shieldose-2. 1994. Selva and Krejci [2012] Daniel Selva and David Krejci. A survey and assessment of the capabilities of cubesats for earth observation. Acta Astronautica, 74:50–68, 2012. Sendamarai et al. [2016] P. Sendamarai, M. N. Giri Prasad, S. Madhava Prabhu, and K. N. Nagesh. A cdf based lifting scheme for the satellite image compression. 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC), 2016. Slater et al. [2020] Windy S Slater, Nayana P Tiwari, Tyler M Lovelly, and Jesse K Mee. Total ionizing dose radiation testing of nvidia jetson nano gpus. 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Gonzalez, Gianluca Fontanesi, Eva Lagunas, Jorge Querol, and Symeon Chatzinotas. Onboard processing in satellite communications using ai accelerators. Aerospace, 10(2), 2023. Rad et al. [2023] Ioan Octavian Rad, Ramon Maria Garcia Alarcia, Sascha Dengler, Alessandro Golkar, and Chiara Manfletti. Preliminary evaluation of commercial off-the-shelf gpus for machine learning applications in space. 2023. Rodriguez-Ferrandez et al. [2022] Ivan Rodriguez-Ferrandez, Maris Tali, Leonidas Kosmidis, Marta Rovituso, and David Steenari. Sources of single event effects in the nvidia xavier soc family under proton irradiation. 2022 IEEE 28th International Symposium on On-Line Testing and Robust System Design (IOLTS), 2022. Seltzer [1994] Stephen M Seltzer. Updated calculations for routine space-shielding radiation dose estimates: Shieldose-2. 1994. Selva and Krejci [2012] Daniel Selva and David Krejci. A survey and assessment of the capabilities of cubesats for earth observation. Acta Astronautica, 74:50–68, 2012. Sendamarai et al. [2016] P. Sendamarai, M. N. Giri Prasad, S. Madhava Prabhu, and K. N. Nagesh. A cdf based lifting scheme for the satellite image compression. 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC), 2016. Slater et al. [2020] Windy S Slater, Nayana P Tiwari, Tyler M Lovelly, and Jesse K Mee. Total ionizing dose radiation testing of nvidia jetson nano gpus. In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. Zhang et al. [2018] Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. Ioan Octavian Rad, Ramon Maria Garcia Alarcia, Sascha Dengler, Alessandro Golkar, and Chiara Manfletti. Preliminary evaluation of commercial off-the-shelf gpus for machine learning applications in space. 2023. Rodriguez-Ferrandez et al. [2022] Ivan Rodriguez-Ferrandez, Maris Tali, Leonidas Kosmidis, Marta Rovituso, and David Steenari. Sources of single event effects in the nvidia xavier soc family under proton irradiation. 2022 IEEE 28th International Symposium on On-Line Testing and Robust System Design (IOLTS), 2022. Seltzer [1994] Stephen M Seltzer. Updated calculations for routine space-shielding radiation dose estimates: Shieldose-2. 1994. Selva and Krejci [2012] Daniel Selva and David Krejci. A survey and assessment of the capabilities of cubesats for earth observation. Acta Astronautica, 74:50–68, 2012. Sendamarai et al. [2016] P. Sendamarai, M. N. Giri Prasad, S. Madhava Prabhu, and K. N. Nagesh. A cdf based lifting scheme for the satellite image compression. 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC), 2016. Slater et al. [2020] Windy S Slater, Nayana P Tiwari, Tyler M Lovelly, and Jesse K Mee. Total ionizing dose radiation testing of nvidia jetson nano gpus. In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. Zhang et al. [2018] Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. Ivan Rodriguez-Ferrandez, Maris Tali, Leonidas Kosmidis, Marta Rovituso, and David Steenari. Sources of single event effects in the nvidia xavier soc family under proton irradiation. 2022 IEEE 28th International Symposium on On-Line Testing and Robust System Design (IOLTS), 2022. Seltzer [1994] Stephen M Seltzer. Updated calculations for routine space-shielding radiation dose estimates: Shieldose-2. 1994. Selva and Krejci [2012] Daniel Selva and David Krejci. A survey and assessment of the capabilities of cubesats for earth observation. Acta Astronautica, 74:50–68, 2012. Sendamarai et al. [2016] P. Sendamarai, M. N. Giri Prasad, S. Madhava Prabhu, and K. N. Nagesh. A cdf based lifting scheme for the satellite image compression. 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC), 2016. Slater et al. [2020] Windy S Slater, Nayana P Tiwari, Tyler M Lovelly, and Jesse K Mee. Total ionizing dose radiation testing of nvidia jetson nano gpus. In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. Zhang et al. [2018] Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. Stephen M Seltzer. Updated calculations for routine space-shielding radiation dose estimates: Shieldose-2. 1994. Selva and Krejci [2012] Daniel Selva and David Krejci. A survey and assessment of the capabilities of cubesats for earth observation. Acta Astronautica, 74:50–68, 2012. Sendamarai et al. [2016] P. Sendamarai, M. N. Giri Prasad, S. Madhava Prabhu, and K. N. Nagesh. A cdf based lifting scheme for the satellite image compression. 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC), 2016. Slater et al. [2020] Windy S Slater, Nayana P Tiwari, Tyler M Lovelly, and Jesse K Mee. Total ionizing dose radiation testing of nvidia jetson nano gpus. In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. Zhang et al. [2018] Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. Daniel Selva and David Krejci. A survey and assessment of the capabilities of cubesats for earth observation. Acta Astronautica, 74:50–68, 2012. Sendamarai et al. [2016] P. Sendamarai, M. N. Giri Prasad, S. Madhava Prabhu, and K. N. Nagesh. A cdf based lifting scheme for the satellite image compression. 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC), 2016. Slater et al. [2020] Windy S Slater, Nayana P Tiwari, Tyler M Lovelly, and Jesse K Mee. Total ionizing dose radiation testing of nvidia jetson nano gpus. In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. Zhang et al. [2018] Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. P. Sendamarai, M. N. Giri Prasad, S. Madhava Prabhu, and K. N. Nagesh. A cdf based lifting scheme for the satellite image compression. 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC), 2016. Slater et al. [2020] Windy S Slater, Nayana P Tiwari, Tyler M Lovelly, and Jesse K Mee. Total ionizing dose radiation testing of nvidia jetson nano gpus. In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. Zhang et al. [2018] Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. Windy S Slater, Nayana P Tiwari, Tyler M Lovelly, and Jesse K Mee. Total ionizing dose radiation testing of nvidia jetson nano gpus. In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. Zhang et al. [2018] Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021.
  18. Image ISS031-E-148504 taken on June 23, 2012. https://eol.jsc.nasa.gov/SearchPhotos/photo.pl?mission=ISS031&roll=E&frame=148504, 2012. Accessed on: December 6, 2020. Oberright [2002] John E Oberright. Nanosatellite science applications. Smaller Satellites: Bigger Business? Concepts, Applications and Markets for Micro/Nanosatellites in a New Information World, pages 83–91, 2002. Ortiz et al. [2023] Flor Ortiz, Victor Monzon Baeza, Luis M. Garces-Socarras, Juan A. Vásquez-Peralvo, Jorge L. Gonzalez, Gianluca Fontanesi, Eva Lagunas, Jorge Querol, and Symeon Chatzinotas. Onboard processing in satellite communications using ai accelerators. Aerospace, 10(2), 2023. Rad et al. [2023] Ioan Octavian Rad, Ramon Maria Garcia Alarcia, Sascha Dengler, Alessandro Golkar, and Chiara Manfletti. Preliminary evaluation of commercial off-the-shelf gpus for machine learning applications in space. 2023. Rodriguez-Ferrandez et al. [2022] Ivan Rodriguez-Ferrandez, Maris Tali, Leonidas Kosmidis, Marta Rovituso, and David Steenari. Sources of single event effects in the nvidia xavier soc family under proton irradiation. 2022 IEEE 28th International Symposium on On-Line Testing and Robust System Design (IOLTS), 2022. Seltzer [1994] Stephen M Seltzer. Updated calculations for routine space-shielding radiation dose estimates: Shieldose-2. 1994. Selva and Krejci [2012] Daniel Selva and David Krejci. A survey and assessment of the capabilities of cubesats for earth observation. Acta Astronautica, 74:50–68, 2012. Sendamarai et al. [2016] P. Sendamarai, M. N. Giri Prasad, S. Madhava Prabhu, and K. N. Nagesh. A cdf based lifting scheme for the satellite image compression. 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC), 2016. Slater et al. [2020] Windy S Slater, Nayana P Tiwari, Tyler M Lovelly, and Jesse K Mee. Total ionizing dose radiation testing of nvidia jetson nano gpus. In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. Zhang et al. [2018] Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. John E Oberright. Nanosatellite science applications. Smaller Satellites: Bigger Business? Concepts, Applications and Markets for Micro/Nanosatellites in a New Information World, pages 83–91, 2002. Ortiz et al. [2023] Flor Ortiz, Victor Monzon Baeza, Luis M. Garces-Socarras, Juan A. Vásquez-Peralvo, Jorge L. Gonzalez, Gianluca Fontanesi, Eva Lagunas, Jorge Querol, and Symeon Chatzinotas. Onboard processing in satellite communications using ai accelerators. Aerospace, 10(2), 2023. Rad et al. [2023] Ioan Octavian Rad, Ramon Maria Garcia Alarcia, Sascha Dengler, Alessandro Golkar, and Chiara Manfletti. Preliminary evaluation of commercial off-the-shelf gpus for machine learning applications in space. 2023. Rodriguez-Ferrandez et al. [2022] Ivan Rodriguez-Ferrandez, Maris Tali, Leonidas Kosmidis, Marta Rovituso, and David Steenari. Sources of single event effects in the nvidia xavier soc family under proton irradiation. 2022 IEEE 28th International Symposium on On-Line Testing and Robust System Design (IOLTS), 2022. Seltzer [1994] Stephen M Seltzer. Updated calculations for routine space-shielding radiation dose estimates: Shieldose-2. 1994. Selva and Krejci [2012] Daniel Selva and David Krejci. A survey and assessment of the capabilities of cubesats for earth observation. Acta Astronautica, 74:50–68, 2012. Sendamarai et al. [2016] P. Sendamarai, M. N. Giri Prasad, S. Madhava Prabhu, and K. N. Nagesh. A cdf based lifting scheme for the satellite image compression. 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC), 2016. Slater et al. [2020] Windy S Slater, Nayana P Tiwari, Tyler M Lovelly, and Jesse K Mee. Total ionizing dose radiation testing of nvidia jetson nano gpus. In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. Zhang et al. [2018] Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. Flor Ortiz, Victor Monzon Baeza, Luis M. Garces-Socarras, Juan A. Vásquez-Peralvo, Jorge L. Gonzalez, Gianluca Fontanesi, Eva Lagunas, Jorge Querol, and Symeon Chatzinotas. Onboard processing in satellite communications using ai accelerators. Aerospace, 10(2), 2023. Rad et al. [2023] Ioan Octavian Rad, Ramon Maria Garcia Alarcia, Sascha Dengler, Alessandro Golkar, and Chiara Manfletti. Preliminary evaluation of commercial off-the-shelf gpus for machine learning applications in space. 2023. Rodriguez-Ferrandez et al. [2022] Ivan Rodriguez-Ferrandez, Maris Tali, Leonidas Kosmidis, Marta Rovituso, and David Steenari. Sources of single event effects in the nvidia xavier soc family under proton irradiation. 2022 IEEE 28th International Symposium on On-Line Testing and Robust System Design (IOLTS), 2022. Seltzer [1994] Stephen M Seltzer. Updated calculations for routine space-shielding radiation dose estimates: Shieldose-2. 1994. Selva and Krejci [2012] Daniel Selva and David Krejci. A survey and assessment of the capabilities of cubesats for earth observation. Acta Astronautica, 74:50–68, 2012. Sendamarai et al. [2016] P. Sendamarai, M. N. Giri Prasad, S. Madhava Prabhu, and K. N. Nagesh. A cdf based lifting scheme for the satellite image compression. 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC), 2016. Slater et al. [2020] Windy S Slater, Nayana P Tiwari, Tyler M Lovelly, and Jesse K Mee. Total ionizing dose radiation testing of nvidia jetson nano gpus. In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. Zhang et al. [2018] Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. Ioan Octavian Rad, Ramon Maria Garcia Alarcia, Sascha Dengler, Alessandro Golkar, and Chiara Manfletti. Preliminary evaluation of commercial off-the-shelf gpus for machine learning applications in space. 2023. Rodriguez-Ferrandez et al. [2022] Ivan Rodriguez-Ferrandez, Maris Tali, Leonidas Kosmidis, Marta Rovituso, and David Steenari. Sources of single event effects in the nvidia xavier soc family under proton irradiation. 2022 IEEE 28th International Symposium on On-Line Testing and Robust System Design (IOLTS), 2022. Seltzer [1994] Stephen M Seltzer. Updated calculations for routine space-shielding radiation dose estimates: Shieldose-2. 1994. Selva and Krejci [2012] Daniel Selva and David Krejci. A survey and assessment of the capabilities of cubesats for earth observation. Acta Astronautica, 74:50–68, 2012. Sendamarai et al. [2016] P. Sendamarai, M. N. Giri Prasad, S. Madhava Prabhu, and K. N. Nagesh. A cdf based lifting scheme for the satellite image compression. 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC), 2016. Slater et al. [2020] Windy S Slater, Nayana P Tiwari, Tyler M Lovelly, and Jesse K Mee. Total ionizing dose radiation testing of nvidia jetson nano gpus. In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. Zhang et al. [2018] Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. Ivan Rodriguez-Ferrandez, Maris Tali, Leonidas Kosmidis, Marta Rovituso, and David Steenari. Sources of single event effects in the nvidia xavier soc family under proton irradiation. 2022 IEEE 28th International Symposium on On-Line Testing and Robust System Design (IOLTS), 2022. Seltzer [1994] Stephen M Seltzer. Updated calculations for routine space-shielding radiation dose estimates: Shieldose-2. 1994. Selva and Krejci [2012] Daniel Selva and David Krejci. A survey and assessment of the capabilities of cubesats for earth observation. Acta Astronautica, 74:50–68, 2012. Sendamarai et al. [2016] P. Sendamarai, M. N. Giri Prasad, S. Madhava Prabhu, and K. N. Nagesh. A cdf based lifting scheme for the satellite image compression. 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC), 2016. Slater et al. [2020] Windy S Slater, Nayana P Tiwari, Tyler M Lovelly, and Jesse K Mee. Total ionizing dose radiation testing of nvidia jetson nano gpus. In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. Zhang et al. [2018] Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. Stephen M Seltzer. Updated calculations for routine space-shielding radiation dose estimates: Shieldose-2. 1994. Selva and Krejci [2012] Daniel Selva and David Krejci. A survey and assessment of the capabilities of cubesats for earth observation. Acta Astronautica, 74:50–68, 2012. Sendamarai et al. [2016] P. Sendamarai, M. N. Giri Prasad, S. Madhava Prabhu, and K. N. Nagesh. A cdf based lifting scheme for the satellite image compression. 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC), 2016. Slater et al. [2020] Windy S Slater, Nayana P Tiwari, Tyler M Lovelly, and Jesse K Mee. Total ionizing dose radiation testing of nvidia jetson nano gpus. In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. Zhang et al. [2018] Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. Daniel Selva and David Krejci. A survey and assessment of the capabilities of cubesats for earth observation. Acta Astronautica, 74:50–68, 2012. Sendamarai et al. [2016] P. Sendamarai, M. N. Giri Prasad, S. Madhava Prabhu, and K. N. Nagesh. A cdf based lifting scheme for the satellite image compression. 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC), 2016. Slater et al. [2020] Windy S Slater, Nayana P Tiwari, Tyler M Lovelly, and Jesse K Mee. Total ionizing dose radiation testing of nvidia jetson nano gpus. In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. Zhang et al. [2018] Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. P. Sendamarai, M. N. Giri Prasad, S. Madhava Prabhu, and K. N. Nagesh. A cdf based lifting scheme for the satellite image compression. 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC), 2016. Slater et al. [2020] Windy S Slater, Nayana P Tiwari, Tyler M Lovelly, and Jesse K Mee. Total ionizing dose radiation testing of nvidia jetson nano gpus. In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. Zhang et al. [2018] Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. Windy S Slater, Nayana P Tiwari, Tyler M Lovelly, and Jesse K Mee. Total ionizing dose radiation testing of nvidia jetson nano gpus. In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. Zhang et al. [2018] Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021.
  19. John E Oberright. Nanosatellite science applications. Smaller Satellites: Bigger Business? Concepts, Applications and Markets for Micro/Nanosatellites in a New Information World, pages 83–91, 2002. Ortiz et al. [2023] Flor Ortiz, Victor Monzon Baeza, Luis M. Garces-Socarras, Juan A. Vásquez-Peralvo, Jorge L. Gonzalez, Gianluca Fontanesi, Eva Lagunas, Jorge Querol, and Symeon Chatzinotas. Onboard processing in satellite communications using ai accelerators. Aerospace, 10(2), 2023. Rad et al. [2023] Ioan Octavian Rad, Ramon Maria Garcia Alarcia, Sascha Dengler, Alessandro Golkar, and Chiara Manfletti. Preliminary evaluation of commercial off-the-shelf gpus for machine learning applications in space. 2023. Rodriguez-Ferrandez et al. [2022] Ivan Rodriguez-Ferrandez, Maris Tali, Leonidas Kosmidis, Marta Rovituso, and David Steenari. Sources of single event effects in the nvidia xavier soc family under proton irradiation. 2022 IEEE 28th International Symposium on On-Line Testing and Robust System Design (IOLTS), 2022. Seltzer [1994] Stephen M Seltzer. Updated calculations for routine space-shielding radiation dose estimates: Shieldose-2. 1994. Selva and Krejci [2012] Daniel Selva and David Krejci. A survey and assessment of the capabilities of cubesats for earth observation. Acta Astronautica, 74:50–68, 2012. Sendamarai et al. [2016] P. Sendamarai, M. N. Giri Prasad, S. Madhava Prabhu, and K. N. Nagesh. A cdf based lifting scheme for the satellite image compression. 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC), 2016. Slater et al. [2020] Windy S Slater, Nayana P Tiwari, Tyler M Lovelly, and Jesse K Mee. Total ionizing dose radiation testing of nvidia jetson nano gpus. In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. Zhang et al. [2018] Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. Flor Ortiz, Victor Monzon Baeza, Luis M. Garces-Socarras, Juan A. Vásquez-Peralvo, Jorge L. Gonzalez, Gianluca Fontanesi, Eva Lagunas, Jorge Querol, and Symeon Chatzinotas. Onboard processing in satellite communications using ai accelerators. Aerospace, 10(2), 2023. Rad et al. [2023] Ioan Octavian Rad, Ramon Maria Garcia Alarcia, Sascha Dengler, Alessandro Golkar, and Chiara Manfletti. Preliminary evaluation of commercial off-the-shelf gpus for machine learning applications in space. 2023. Rodriguez-Ferrandez et al. [2022] Ivan Rodriguez-Ferrandez, Maris Tali, Leonidas Kosmidis, Marta Rovituso, and David Steenari. Sources of single event effects in the nvidia xavier soc family under proton irradiation. 2022 IEEE 28th International Symposium on On-Line Testing and Robust System Design (IOLTS), 2022. Seltzer [1994] Stephen M Seltzer. Updated calculations for routine space-shielding radiation dose estimates: Shieldose-2. 1994. Selva and Krejci [2012] Daniel Selva and David Krejci. A survey and assessment of the capabilities of cubesats for earth observation. Acta Astronautica, 74:50–68, 2012. Sendamarai et al. [2016] P. Sendamarai, M. N. Giri Prasad, S. Madhava Prabhu, and K. N. Nagesh. A cdf based lifting scheme for the satellite image compression. 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC), 2016. Slater et al. [2020] Windy S Slater, Nayana P Tiwari, Tyler M Lovelly, and Jesse K Mee. Total ionizing dose radiation testing of nvidia jetson nano gpus. In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. Zhang et al. [2018] Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. Ioan Octavian Rad, Ramon Maria Garcia Alarcia, Sascha Dengler, Alessandro Golkar, and Chiara Manfletti. Preliminary evaluation of commercial off-the-shelf gpus for machine learning applications in space. 2023. Rodriguez-Ferrandez et al. [2022] Ivan Rodriguez-Ferrandez, Maris Tali, Leonidas Kosmidis, Marta Rovituso, and David Steenari. Sources of single event effects in the nvidia xavier soc family under proton irradiation. 2022 IEEE 28th International Symposium on On-Line Testing and Robust System Design (IOLTS), 2022. Seltzer [1994] Stephen M Seltzer. Updated calculations for routine space-shielding radiation dose estimates: Shieldose-2. 1994. Selva and Krejci [2012] Daniel Selva and David Krejci. A survey and assessment of the capabilities of cubesats for earth observation. Acta Astronautica, 74:50–68, 2012. Sendamarai et al. [2016] P. Sendamarai, M. N. Giri Prasad, S. Madhava Prabhu, and K. N. Nagesh. A cdf based lifting scheme for the satellite image compression. 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC), 2016. Slater et al. [2020] Windy S Slater, Nayana P Tiwari, Tyler M Lovelly, and Jesse K Mee. Total ionizing dose radiation testing of nvidia jetson nano gpus. In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. Zhang et al. [2018] Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. Ivan Rodriguez-Ferrandez, Maris Tali, Leonidas Kosmidis, Marta Rovituso, and David Steenari. Sources of single event effects in the nvidia xavier soc family under proton irradiation. 2022 IEEE 28th International Symposium on On-Line Testing and Robust System Design (IOLTS), 2022. Seltzer [1994] Stephen M Seltzer. Updated calculations for routine space-shielding radiation dose estimates: Shieldose-2. 1994. Selva and Krejci [2012] Daniel Selva and David Krejci. A survey and assessment of the capabilities of cubesats for earth observation. 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[2020] Windy S Slater, Nayana P Tiwari, Tyler M Lovelly, and Jesse K Mee. Total ionizing dose radiation testing of nvidia jetson nano gpus. In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. Zhang et al. [2018] Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. Ivan Rodriguez-Ferrandez, Maris Tali, Leonidas Kosmidis, Marta Rovituso, and David Steenari. Sources of single event effects in the nvidia xavier soc family under proton irradiation. 2022 IEEE 28th International Symposium on On-Line Testing and Robust System Design (IOLTS), 2022. Seltzer [1994] Stephen M Seltzer. Updated calculations for routine space-shielding radiation dose estimates: Shieldose-2. 1994. Selva and Krejci [2012] Daniel Selva and David Krejci. A survey and assessment of the capabilities of cubesats for earth observation. Acta Astronautica, 74:50–68, 2012. Sendamarai et al. [2016] P. Sendamarai, M. N. Giri Prasad, S. Madhava Prabhu, and K. N. Nagesh. A cdf based lifting scheme for the satellite image compression. 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC), 2016. Slater et al. [2020] Windy S Slater, Nayana P Tiwari, Tyler M Lovelly, and Jesse K Mee. Total ionizing dose radiation testing of nvidia jetson nano gpus. In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. Zhang et al. [2018] Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. 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In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. Zhang et al. [2018] Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. P. Sendamarai, M. N. Giri Prasad, S. Madhava Prabhu, and K. N. Nagesh. A cdf based lifting scheme for the satellite image compression. 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC), 2016. Slater et al. [2020] Windy S Slater, Nayana P Tiwari, Tyler M Lovelly, and Jesse K Mee. Total ionizing dose radiation testing of nvidia jetson nano gpus. In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. 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Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021.
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[2020] Windy S Slater, Nayana P Tiwari, Tyler M Lovelly, and Jesse K Mee. Total ionizing dose radiation testing of nvidia jetson nano gpus. In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. Zhang et al. [2018] Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. Ivan Rodriguez-Ferrandez, Maris Tali, Leonidas Kosmidis, Marta Rovituso, and David Steenari. Sources of single event effects in the nvidia xavier soc family under proton irradiation. 2022 IEEE 28th International Symposium on On-Line Testing and Robust System Design (IOLTS), 2022. Seltzer [1994] Stephen M Seltzer. Updated calculations for routine space-shielding radiation dose estimates: Shieldose-2. 1994. Selva and Krejci [2012] Daniel Selva and David Krejci. A survey and assessment of the capabilities of cubesats for earth observation. Acta Astronautica, 74:50–68, 2012. Sendamarai et al. [2016] P. Sendamarai, M. N. Giri Prasad, S. Madhava Prabhu, and K. N. Nagesh. A cdf based lifting scheme for the satellite image compression. 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC), 2016. Slater et al. [2020] Windy S Slater, Nayana P Tiwari, Tyler M Lovelly, and Jesse K Mee. Total ionizing dose radiation testing of nvidia jetson nano gpus. In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. Zhang et al. [2018] Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. Stephen M Seltzer. Updated calculations for routine space-shielding radiation dose estimates: Shieldose-2. 1994. Selva and Krejci [2012] Daniel Selva and David Krejci. A survey and assessment of the capabilities of cubesats for earth observation. Acta Astronautica, 74:50–68, 2012. Sendamarai et al. [2016] P. Sendamarai, M. N. Giri Prasad, S. Madhava Prabhu, and K. N. Nagesh. A cdf based lifting scheme for the satellite image compression. 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC), 2016. Slater et al. [2020] Windy S Slater, Nayana P Tiwari, Tyler M Lovelly, and Jesse K Mee. Total ionizing dose radiation testing of nvidia jetson nano gpus. In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. 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In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. Zhang et al. [2018] Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. P. Sendamarai, M. N. Giri Prasad, S. Madhava Prabhu, and K. N. Nagesh. A cdf based lifting scheme for the satellite image compression. 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC), 2016. Slater et al. [2020] Windy S Slater, Nayana P Tiwari, Tyler M Lovelly, and Jesse K Mee. Total ionizing dose radiation testing of nvidia jetson nano gpus. In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. 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Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021.
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[2020] Windy S Slater, Nayana P Tiwari, Tyler M Lovelly, and Jesse K Mee. Total ionizing dose radiation testing of nvidia jetson nano gpus. In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. Zhang et al. [2018] Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. Daniel Selva and David Krejci. A survey and assessment of the capabilities of cubesats for earth observation. Acta Astronautica, 74:50–68, 2012. Sendamarai et al. [2016] P. Sendamarai, M. N. Giri Prasad, S. Madhava Prabhu, and K. N. Nagesh. A cdf based lifting scheme for the satellite image compression. 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC), 2016. Slater et al. [2020] Windy S Slater, Nayana P Tiwari, Tyler M Lovelly, and Jesse K Mee. Total ionizing dose radiation testing of nvidia jetson nano gpus. In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. Zhang et al. [2018] Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. P. Sendamarai, M. N. Giri Prasad, S. Madhava Prabhu, and K. N. Nagesh. A cdf based lifting scheme for the satellite image compression. 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC), 2016. Slater et al. [2020] Windy S Slater, Nayana P Tiwari, Tyler M Lovelly, and Jesse K Mee. Total ionizing dose radiation testing of nvidia jetson nano gpus. In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. Zhang et al. [2018] Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. Windy S Slater, Nayana P Tiwari, Tyler M Lovelly, and Jesse K Mee. Total ionizing dose radiation testing of nvidia jetson nano gpus. In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. Zhang et al. [2018] Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021.
  23. Stephen M Seltzer. Updated calculations for routine space-shielding radiation dose estimates: Shieldose-2. 1994. Selva and Krejci [2012] Daniel Selva and David Krejci. A survey and assessment of the capabilities of cubesats for earth observation. Acta Astronautica, 74:50–68, 2012. Sendamarai et al. [2016] P. Sendamarai, M. N. Giri Prasad, S. Madhava Prabhu, and K. N. Nagesh. A cdf based lifting scheme for the satellite image compression. 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC), 2016. Slater et al. [2020] Windy S Slater, Nayana P Tiwari, Tyler M Lovelly, and Jesse K Mee. Total ionizing dose radiation testing of nvidia jetson nano gpus. In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. Zhang et al. [2018] Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. Daniel Selva and David Krejci. A survey and assessment of the capabilities of cubesats for earth observation. Acta Astronautica, 74:50–68, 2012. Sendamarai et al. [2016] P. Sendamarai, M. N. Giri Prasad, S. Madhava Prabhu, and K. N. Nagesh. A cdf based lifting scheme for the satellite image compression. 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC), 2016. Slater et al. [2020] Windy S Slater, Nayana P Tiwari, Tyler M Lovelly, and Jesse K Mee. Total ionizing dose radiation testing of nvidia jetson nano gpus. In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. Zhang et al. [2018] Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. P. Sendamarai, M. N. Giri Prasad, S. Madhava Prabhu, and K. N. Nagesh. A cdf based lifting scheme for the satellite image compression. 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC), 2016. Slater et al. [2020] Windy S Slater, Nayana P Tiwari, Tyler M Lovelly, and Jesse K Mee. Total ionizing dose radiation testing of nvidia jetson nano gpus. In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. Zhang et al. [2018] Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. Windy S Slater, Nayana P Tiwari, Tyler M Lovelly, and Jesse K Mee. Total ionizing dose radiation testing of nvidia jetson nano gpus. In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. Zhang et al. [2018] Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021.
  24. A survey and assessment of the capabilities of cubesats for earth observation. Acta Astronautica, 74:50–68, 2012. Sendamarai et al. [2016] P. Sendamarai, M. N. Giri Prasad, S. Madhava Prabhu, and K. N. Nagesh. A cdf based lifting scheme for the satellite image compression. 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC), 2016. Slater et al. [2020] Windy S Slater, Nayana P Tiwari, Tyler M Lovelly, and Jesse K Mee. Total ionizing dose radiation testing of nvidia jetson nano gpus. In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. Zhang et al. [2018] Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. P. Sendamarai, M. N. Giri Prasad, S. Madhava Prabhu, and K. N. Nagesh. A cdf based lifting scheme for the satellite image compression. 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC), 2016. Slater et al. [2020] Windy S Slater, Nayana P Tiwari, Tyler M Lovelly, and Jesse K Mee. Total ionizing dose radiation testing of nvidia jetson nano gpus. In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. Zhang et al. [2018] Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. Windy S Slater, Nayana P Tiwari, Tyler M Lovelly, and Jesse K Mee. Total ionizing dose radiation testing of nvidia jetson nano gpus. In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. Zhang et al. [2018] Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021.
  25. A cdf based lifting scheme for the satellite image compression. 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC), 2016. Slater et al. [2020] Windy S Slater, Nayana P Tiwari, Tyler M Lovelly, and Jesse K Mee. Total ionizing dose radiation testing of nvidia jetson nano gpus. In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. Zhang et al. [2018] Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. Windy S Slater, Nayana P Tiwari, Tyler M Lovelly, and Jesse K Mee. Total ionizing dose radiation testing of nvidia jetson nano gpus. In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. Zhang et al. [2018] Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021.
  26. Total ionizing dose radiation testing of nvidia jetson nano gpus. In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–3. IEEE, 2020. Zhang et al. [2018] Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. Zhaoxiang Zhang, Guodong Xu, and Jianing Song. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021.
  27. Cubesat cloud detection based on jpeg2000 compression and deep learning. Advances in Mechanical Engineering, 10(10):1687814018808178, 2018. Zhou et al. [2021] Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021. Hao Zhou, R. B. Ashith Shyam, Arunkumar Rathinam, and Gao Yang. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021.
  28. Intelligent spacecraft visual gnc architecture with the state-of-the-art ai components for on-orbit manipulation. Frontiers in Robotics and AI, 8, 2021.
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