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Unsupervised SAR Image Change Detection Based on SIFT Key points and Region Information
Abstract—This letter presents a new unsupervised distribution-free change detection method for synthetic aperture radar (SAR) images based on scale-invariant feature transform (SIFT) keypoints and region information. Since the SIFT can detect blob-like structures in an image and be insensitive to noise, we first ex-tract noise-robust SIFT keypoints in the log-ratio image to reduce
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