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In this paper, we propose a superpixel generation method for synthetic aperture radar (SAR) images by using the density-based spatial clustering of applications with noise (DBSCAN) algorithm. The pixels is firstly grouped to generate initial superpixels by using probabilistic patch-based (PPB) dissimilarity. Then, small clusters are combined into their neighbor superpixels to get final results through...
The probabilistic patch-based similarity measure (PPBSM) is a deeply studied and widely used method for synthetic aperture radar (SAR) image processing and understanding. Considering its performance limitation, we propose a preliminary exploration of integrating the spatial correlation information into the PPBSM, and design a refined method for SAR image change detection.
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