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《Wuhan University Journal(Natural Science Edition)》 2003-01
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An Improved Edge Detection Algorithm of SAR Images

L Yi, SUN Hong, CAO Yong\|feng, WANG Qing, XU Ge (School of Electronic Information, Wuhan University, Wuhan 430072, Hubei, China)  
Ratio edge detector for SAR images can provide high overall edge\|detection probability. But it has defects on the accuracy of edge\|position determination. This paper works deeply on how to determinate the threshold of Ratio edge detector. Then we present a new detector aiming at detecting “weak” edges with threshold of it. A new combined algorithm including both of the two detectors is presented. Its processing results of actual SAR images show wonderful edge\|detection performance and high accuracy of edge\|position determination.
【Fund】: 国家自然科学基金资助项目 (60 0 72 0 4 1 )
【CateGory Index】: TN957.52
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