Image Fusion and Fuzzy Clustering based Change Detection in SAR Images
نویسندگان
چکیده
Change detection in remote sensing images becomes more and more important for the last few decades, among them change detection in Synthetic Aperture Radar (SAR) images are having some more difficulties than optical ones due to the fact that SAR images suffer from the presence of the speckle noise. This paper presents unsupervised change detection in multi-temporal Synthetic Aperture Radar (SAR) images based on Image Fusion and Fuzzy Clustering algorithms. Image fusion technique is used to generate difference image by collecting information from Log ratio image and Mean ratio image. In order to intensify the information of changed regions and suppress the background information, Contourlet fusion rules are chosen to fuse the contourlet coefficients. For classifying changed and unchanged
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