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In this paper, an efficient statistical model, called generalized Gamma distribution (GΓD), for the empirical modeling of synthetic aperture radar (SAR) images is proposed. The GΓD forms a large variety of alternative distributions (especially including Rayleigh, exponential, Nakagami, Gamma, Weibull, and log-normal distributions commonly used for the probability density function (pdf) of SAR images...
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 (GGammaD),...
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