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In this paper, the classification method of SAR image based on support vector machine (SVM) with extracting the gray feature, texture feature (gray cooccurrence matrix) was proposed. Compared the results of different kernel functions with the result of maximum likelihood classifier, this approach was proved to be able to classify those patterns that can't(More)
In this paper, based on auto target recognition (ATR), two kind of feature in ISAR images are extracted: Fourier-transform coefficients feature and wavelet-transform coefficients feature. Three kinds of targets ISAR images were done some recognition study based on the exact nearest neighbor algorithm and those extracted features. Experimental results show(More)
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