Gamma Mixture distribution modeling method with SAR Images

There are more flexibilities mixtures of multi-distribution models than a single-distribution model for complicated random variables. Gaussian mixture models, alpha-stable mixture models and Gamma mixture models are main hybrid probability distribution ones. Gaussian mixture distributions are fitter for some symmetric distribution random variables and alpha-stable mixture distributions for not only symmetric but also skewed, but more parameters and intricate estimating algorithms are its shortcoming. Pixel values of SAR images are non-negative and skewed distributions, so fit for using Gamma mixture distribution models. Simulation analysis and data tests show that Gamma mixture distribution models have a higher operation efficiency for pixel statistical distribution of SAR image pixel distributions.