Multiedge detection in SAR images
نویسندگان
چکیده
Edge detection is a fundamental issue in image analysis. Due to the presence of speckle, which can be modelled as a strong multiplicative noise, edge detection in Synthetic Aperture Radar (SAR) images is very di cult and methods developed for optical images are ine cient. We here propose a new edge detector for SAR images which is optimum in the MSSE sense for a stochastic multiedge model. It computes a normalized Ratio Of Exponentially Weighted Averages (ROEWA) on opposite sides of the central pixel. This is done in the horizontal and vertical direction, and the magnitude of the two components yields an edge strength map. Thresholding of the edge strenght map and postprocessing to eliminate false edges are brie y discussed. We present results on simulated SAR images and ERS1 data.
منابع مشابه
Diierent Approaches to Multiedge Detection in Sar Images
Edge detection is a fundamental issue in image analysis. The presence of speckle, which can be modelled as a strong multiplicative noise, complicates edge detection in Synthetic Aperture Radar (SAR) images. Several statistical edge detectors have been developed speciically for such images, based on the hypothesis that only one step edge is present in the analyzing window. We here concentrate on...
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