Decision fusion of sparse representation and support vector machine for SAR image target recognition
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资源说明:We propose a decision fusion method of Sparse Representation (SR) and Support Vector Machine (SVM) for Synthetic Aperture Radar (SAR) image target recognition in this paper. First, a fast SR classifier (FSR-C) with Matching Pursuit (MP) solution is proposed. In the FSR-C, the dictionary is composed of training images. Just one nonzero element in SR coefficient of the testing image is found out based on MP, and the testing image is classified through the location of the nonzero element. To furthe
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