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Remote sensing image is according to a certain proportion of objective record and reflect electromagnetic radiation of earth surface intensity information, is a form of expression we obtain the remote sensing information. With the development of remote sensing technology, remote sensing image classification is more and more important, and in recent years also appeared some new methods for the classification of remote sensing image. This paper introduces and realizes an unsupervised learning method, an algorithm of image classification based on Gaussian mixture model. When solving this model, find that the function is too complex to direct derivation, so we introduce the EM algorithm to solve it. This paper gives the detailed process of EM algorithm, explains the geometric significance of EM algorithm, and proves its convergence, and realizes the EM algorithm for Gaussian mixture model. The image of this experiment is nearby Beijing airport Results show the algorithms ‘applicability and effectiveness. Keywords-GMM; EM; image classification

Research the Algorithm of Image Classification Based on Gaussian Mixture Model