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This paper proposes a classification method based on principal component reconstruction (PCR) for target recognition in synthetic aperture radar (SAR) image. To characterize the SAR image and alleviate the influence of different intensity of the same targets on target recognition, the SAR image is mapped into the principal component space by the principal component analysis with zero mean. In the...
In this paper, a novel feature extraction method based on t-distributed stochastic neighbor embedding (t-SNE) is presented for target recognition in synthetic aperture radar (SAR) images. It aims to search and preserve the local structure characteristic of SAR images. Recently, t-SNE has been widely studied in finding the underlying structure of data as an efficient technique. However, less attention...
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