Abstract
The authors develop the optimal criterion for edge detection in single look complex (SLC) synthetic aperture radar (SAR) images. By working on complex data rather than intensity images, the authors can take the speckle autocorrelation into account, obtain more accurate estimations of local mean reflectivities, and thus achieve better edge detection performance.
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