Unsupervised SAR Image Change Detection Based on SIFT Keypoints and Region Information.

IEEE Geoscience and Remote Sensing Letters(2016)

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摘要
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 extract noise-robust SIFT keypoints in the log-ratio image to reduce the detection range. Then,...
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关键词
Synthetic aperture radar,Image segmentation,Feature extraction,Speckle,Image edge detection,Noise robustness,Change detection algorithms
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