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This paper proposes a novel semi supervised approach to classify hyperspectral image. This method can overcome the limited training samples problem. It combines support vector machine (SVM) and particle swarm optimization(PSO). The new approach exploits the wealth of unlabeled samples for improving the classification accuracy. The method can inflate the original training samples by estimating the...
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