Generalized gamma distribution with MoLC estimation for statistical modeling of SAR images
Heng-Chao Li, Wen Hong, Yirong Wu · 2007
Although many theoretical and empirical models have been developed to characterize the statistics of SAR images in the literature, they are generally dedicated to the SAR images with certain types of scenes, or cannot provide analytical expression for the probability density function (PDF). In this paper, we propose a new empirical statistical model, called generalized Gamma distribution (G??D), for the statistical modeling of SAR images. The G??D forms a large variety of alternative distributions, and is flexible to model the SAR images covering different kinds of surfaces in amplitude and intensity formats. Moreover, the method of logcumulants (MoLC) based on Mellin transform is derived for parameter estimation of G??D. Experimental results on two real SAR images are given to demonstrate the validity of our proposed G??D.