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Land cover classification using EM algorithm based multi-polarized ALOS PALSAR image fusion

In this paper, an attempt has been made to improve information of an image by fusion technique, so it may be more effectively used. Full polarimetric images of ALOS PALSAR are fused by exploiting the nice properties of Expectation Maximization (EM) algorithm. Maximum likelihood classifier is applied on the composite unfused singlet and fused doublet images and results are compared on the basis of producer, user, overall accuracies and Kappa Coefficient.