Analysis of SAR Images in the Framework of Scale Mixture of Gaussian Models

In this paper we present the normal variance-mean mixture model as a framework for analyzing SAR data. The complex envelope of the echo signal is considered as a double stochastic circular Gaussian variable, in which both the variance and the mean are linearly scaled by a stochastic scaling factor Z. We then derive the generalized K amplitude model, and indicate how its parameters can be estimated from data. Some preliminary results show that this model represents the amplitude of SAR data well.