Evaluation of radar image segmentation by Markov random field model with Gaussian distribution and Gamma distribution

SAR image segmentation is investigated by integrating both the Gamma distribution and the Gaussian distribution, appropriate data representations for uniform areas in SAR images, with the Markov random field model. Both models are able to distinguish spatially adjacent objects by up to their second order statistics and spatial textures. Overall results from the Gaussian model are slightly better, although the Gamma distributions are more appropriate to trace real radar image data distributions