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An image segmentation method is proposed based on exploiting the spatial patterns in synthetic aperture radar (SAR) images. First, a similarity map is constructed for evaluating the similarity between the spatial pattern of the SAR image and the reference clutter images. Then, a segmentation threshold is selected based on the similarity map. Finally, image segmentation is achieved by preserving pixels...
A feature processing technique that is specifically designed for synthetic aperture radar images, where features are extracted with merits of compactness, high discrimination ability, and shift invariance is proposed. To this end, a rich feature set is first constructed with a wealth of discrimination information. Then, the redundancy and dimensionality of the rich feature set are reduced such that...
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