The Generalized Statistical Complexity of PolSAR Data
Information Theory
2014-02-11 v1 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 and the Gamma laws. Preliminary results on the intensity components of AIRSAR image of San Francisco are encouraging.
Cite
@article{arxiv.1402.1834,
title = {The Generalized Statistical Complexity of PolSAR Data},
author = {Alejandro C. Frery and Eliana S. de Almeida and Osvaldo A. Rosso},
journal= {arXiv preprint arXiv:1402.1834},
year = {2014}
}
Comments
Proceedings of The 4th Asia-Pacific Conference on Synthetic Aperture Radar (APSAR), 2013, 100-103