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It is very difficult to perform change detection in SAR images, because speckle noise contaminates the images in nature. Speckle, which results from coherent energy imaging, is indeed a chaotic phenomenon. As a result, an SAR signal can be modeled by a spatial chaotic system and characterized by its fractal dimension. The differential box-counting (DBC) technique is adopted to estimate fractal dimension...
Coastline detection in SAR images suffers from the presence of speckle effect and the strong signal return from a wind-roughened and/or wave-modulated sea. It has already been recognized that ocean areas in SAR images are almost always much more homogeneous in grey levels than land areas. Therefore, features reflecting the roughness of an image can be very useful for ocean-land separation. To represent...
The use of remote sensing images from various sensors is supposed to be able to improve classification accuracies. In this paper, a multiple classifiers system is adopted to fully utilize the complementary information among different data sources. A weighting policy may be applied to fuse knowledge acquired by classifiers according to their classification performances. Based on the past researches,...
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