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The Generalized Statistical Complexity of PolSAR Data (1402.1834v1)
Published 8 Feb 2014 in cs.IT and math.IT
Abstract: This paper presents and discusses the use of a new feature for PolSAR imagery: the Generalized Statistical Complexity. This measure is able to capture the disorder of the data by means of the entropy, as well as its departure from a reference distribution. The latter component is obtained by measuring a stochastic distance between two models: the $\mathcal G0$ and the Gamma laws. Preliminary results on the intensity components of AIRSAR image of San Francisco are encouraging.
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