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基于D-S证据理论的SAR图像边缘融合检测算法
引用本文:彭川.基于D-S证据理论的SAR图像边缘融合检测算法[J].东莞理工学院学报,2010,17(3):66-70.
作者姓名:彭川
作者单位:中国联通东莞分公司,东莞,523009
摘    要:针对含噪SAR图像的统计特性,提出了一种基于D-S证据理论的SAR图像边缘检测算法。该算法采用非下采样Contourle变换,结合Ratio算法良好的抗噪和恒虚警性能,构建基本置信指派函数。最后对实测的SAR图像进行仿真,仿真结果表明该算法具有良好的抑制斑点效果,并能完整和准确地检测直线边缘,对弱边缘检测也表现良好。

关 键 词:非下采样Contourlet变换(NSCT)  合成孔径雷达(SAR)图像  边缘检测  D-S证据理论

Edge Fusion Detection Based on D-S Evidence Theory in SAR Images
PENG Chuan.Edge Fusion Detection Based on D-S Evidence Theory in SAR Images[J].Journal of Dongguan Institute of Technology,2010,17(3):66-70.
Authors:PENG Chuan
Institution:PENG Chuan (Dongguan Branch of China Unicom,Dongguan 523009,China)
Abstract:According to statistical characteristics of SAR images,a new edge detection algorithm based on D-S evidence theory is proposed in this paper.The algorithm combining the advantages of multi-scale,multi-direction and translation invariance for Nonsubsampled Contourlet Transform(NSCT) and performance of good anti-noise and constant false alarm rate(CFAR) for Ratio algorithm.Credibility functions are constructed between NSCT and Ratio to perform information fusion based on D-S evidence theory.The simulation res...
Keywords:Nonsubsampled Contourlet Transform(NSCT)  Synthetic Aperture Radar(SAR) image  edge detection  D-S evidence theory  
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