The Generalized Statistical Complexity of PolSAR Data

2014/02/08 by Alejandro C. Frery, Frery, Alejandro C., Eliana Almeida +4
Computer Science · Engineering · Mathematics · #Image and Signal Denoising Methods #Statistical and numerical algorithms #Synthetic Aperture Radar (SAR) Applications and Techniques #cs.IT #math.IT

paper · pdf · doi:10.48550/arxiv.1402.1834

Proceedings of The 4th Asia-Pacific Conference on Synthetic Aperture Radar (APSAR), 2013, 100-103

arxiv created 2014/02/08 · arxiv updated 2014/02/11

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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