A MODEL FOR EXTREMELY HETEROGENEOUS CLUTTER

A new class of distributions, G distributions, arising from the multip licative model is presented in this paper, along with their main prope rties and relations. Their densities are derived for complex and multi look intensity and amplitude data. Classical distributions, such as K, are particular cases of this new class, A special case of this class called here G(0), that has as many parameters as K distributions, is s hown able to model extremely heterogeneous clutter, such as that of ur ban areas, that cannot be properly modeled with K distributions. One o f the parameters of this special case is related to the degree of homo geneity, and a limiting case is that of a scaled speckle, The advantag e of the G(0) distribution becomes evident through the analysis of a v ariety of areas (urban, primary forest and deforested) from two sensor s.