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A valid unsupervised and multiscale classification method of synthetic aperture radar (SAR) imagery is proposed based on the Expectation Maximization and the genetic algorithm (GA-EM). This algorithm is capable of selecting the number of classification of SAR image using the Bayesian information criterion (BIC) for Gaussian mixture model. Our approach benefits from the properties of Genetic algorithms...
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