| 基于最小二乘支持向量机的SAR影像边缘检测算法 |
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| 引用本文： | 张绍明,林怡,陈鹰. 基于最小二乘支持向量机的SAR影像边缘检测算法[J]. 测控技术, 2007, 26(11): 61-63 |
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| 作者姓名： | 张绍明 林怡 陈鹰 |
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| 作者单位： | 同济大学,遥感与空问信息技术研究中心,上海,200092;同济大学,遥感与空问信息技术研究中心,上海,200092;同济大学,遥感与空问信息技术研究中心,上海,200092 |
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| 摘 要： | 为了实现不同传感器影像之间的边缘特征匹配,提出了一种新的SAR影像边缘检测方法.该方法首先利用最小二乘支持向量(LS-SVM)时影像进行拟合以减小相干斑噪声的影响,然后采用基于小波变换的断面检测法进行影像边缘检测.通过与经典影像边缘提取算子的实验对比,表明该方法更适合于斑点噪声明显的SAR影像边缘检测.
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| 关 键 词： | 合成孔径雷达影像 最小二乘支持向量机 小波变换 边缘检测 |
| 文章编号： | 1000-8829（2007）11-0061-03 |
| 修稿时间： | 2006-11-20 |
Edge Detection for Synthetic Aperture Radar Image Based on Least Square Support Vector Machine |
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| ZHANG Shao-ming,LIN Yi,CHEN Ying. Edge Detection for Synthetic Aperture Radar Image Based on Least Square Support Vector Machine[J]. Measurement & Control Technology, 2007, 26(11): 61-63 |
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| Authors: | ZHANG Shao-ming LIN Yi CHEN Ying |
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| Affiliation: | Department of Surveying and Geoinformatics, Tongji University, Shanghai, 200092, China |
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| Abstract: | A new edge detection method for synthetic aperture radar image is discussed.At first,fit the image with linear regress function based on least square support vector machine,which reduces the influence of speckle noise in image.Then,the direction of image edge is realized by wavelet transform and looking for local maximum values of gradient amplitude.The experiments show that the method could detect the image edge correctly. |
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| Keywords: | synthetic aperture radar image least square support vector machine wavelet transform edge detection |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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