  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.
