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Target segmentation of synthetic aperture radar (SAR) images is one of the challenging problems in SAR image interpretation, which often serves as a processing step for SAR target recognition. Target segmentation tries to separate the target from the background thus eliminating the interference of background noises or clutters. However, the segmentation may also discard a part of the target characteristics...
Recognizing targets in synthetic aperture radar (SAR) images is an important, yet challenging problem in SAR image interpretation. In traditional methods, the 2-D image data is rearranged into vectors and regressed to its label by a vector where the structure information is lost. Multiple rank regression (MRR) method directly manipulation on matrix data by applying a multiple-rank left projecting...
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