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Feature extraction is the key step of synthetic aperture radar (SAR) target configuration recognition. A statistical model embedding the locality preserving property is presented to extract the maximum amount of desired information from the data, which is of crucial help to recognition. The noise, or error, of the SAR image samples is described by a Gaussian mixture distribution, and the locality...
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