Discontinuity-adaptive Markov random field model for the segmentation of intensity SAR images

In this communications, an approach for the segmentation of synthetic apert ure radar (SAR) intensity images is discussed. The method integrates the ga mma distribution in an objective function that exploits a discontinuity-ada ptive Markov random field (DA-MRF) model that allows the user to determine the degree of homogeneity of the results according to the nature of the phe nomena of interest. Both visual and numerical results illustrate its potent ial.