Papers
Topics
Authors
Recent
Gemini 2.5 Flash
Gemini 2.5 Flash
97 tokens/sec
GPT-4o
53 tokens/sec
Gemini 2.5 Pro Pro
43 tokens/sec
o3 Pro
4 tokens/sec
GPT-4.1 Pro
47 tokens/sec
DeepSeek R1 via Azure Pro
28 tokens/sec
2000 character limit reached

CloudSegNet: A Deep Network for Nychthemeron Cloud Image Segmentation (1904.07979v1)

Published 16 Apr 2019 in physics.ao-ph, cs.CV, and eess.IV

Abstract: We analyze clouds in the earth's atmosphere using ground-based sky cameras. An accurate segmentation of clouds in the captured sky/cloud image is difficult, owing to the fuzzy boundaries of clouds. Several techniques have been proposed that use color as the discriminatory feature for cloud detection. In the existing literature, however, analysis of daytime and nighttime images is considered separately, mainly because of differences in image characteristics and applications. In this paper, we propose a light-weight deep-learning architecture called CloudSegNet. It is the first that integrates daytime and nighttime (also known as nychthemeron) image segmentation in a single framework, and achieves state-of-the-art results on public databases.

User Edit Pencil Streamline Icon: https://streamlinehq.com
Authors (4)
  1. Soumyabrata Dev (86 papers)
  2. Atul Nautiyal (7 papers)
  3. Yee Hui Lee (54 papers)
  4. Stefan Winkler (52 papers)
Citations (67)

Summary

We haven't generated a summary for this paper yet.