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一种改进的SAR图像边缘检测方法
An Improved Edge Detection Algorithm of SAR Images
【摘要】 针对Ratio边缘提取算法对弱边缘检测效果差 ,边缘定位精度低的缺点 ,提出了一种改进算法用于检测微弱边缘 ,并给出具有CFAR特性的阈值选取办法 实际应用中 ,将两种方法结合为一种综合处理方法 ,对真实SAR图像的处理结果表明 ,该综合处理方法具有较高检测正确率及较好的边缘定位精度
【Abstract】 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.
【关键词】 合成孔径雷达;
Speckle噪声;
边缘检测;
图像处理;
【Key words】 synthetic aperture radar; Speckle noise; edge detection; image processing;
【Key words】 synthetic aperture radar; Speckle noise; edge detection; image processing;
【基金】 国家自然科学基金资助项目 (60 0 72 0 4 1 )
- 【文献出处】 武汉大学学报(理学版) ,Wuhan University Journal(Natural Science Edition) , 编辑部邮箱 ,2003年01期
- 【分类号】TN957.52
- 【被引频次】16
- 【下载频次】270