Gabor Feature Based Unsupervised Change Detection of Multitemporal SAR Images Based on Two-Level Clustering.

IEEE Geoscience and Remote Sensing Letters(2015)

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摘要
In this letter, we propose a simple yet effective unsupervised change detection approach for multitemporal synthetic aperture radar images from the perspective of clustering. This approach jointly exploits the robust Gabor wavelet representation and the advanced cascade clustering. First, a log-ratio image is generated from the multitemporal images. Then, to integrate contextual information in the...
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关键词
Feature extraction,Synthetic aperture radar,Remote sensing,Clustering algorithms,Transforms
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