The Generalized Statistical Complexity of PolSAR Data
  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 $\mathcal G^0$ and the Gamma laws. Preliminary results on the intensity components of AIRSAR image of San Francisco are encouraging. 
Alejandro C. Frery and Eliana S. de Almeida and Osvaldo A. Rosso
cs.IT math.IT