| 基于Contourlet域HMT和D-S证据融合的SAR图像分割 |
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| 引用本文： | 吴艳,焦惊眉,杨晓丽,肖平,李明.基于Contourlet域HMT和D-S证据融合的SAR图像分割[J].测绘学报,2011,40(2). |
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| 作者姓名： | 吴艳 焦惊眉 杨晓丽 肖平 李明 |
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| 作者单位： | 西安电子科技大学电子工程学院;陕西测绘局;西安电子科技大学雷达信号处理国家重点实验室; |
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| 基金项目： | 国家自然科学基金(60872137); 国防预研基金(9140C010307100C01); 航空科学基金(20080181002) |
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| 摘 要： | 针对Contourlet的多尺度、局部化、方向性和各向异性等优点,结合隐马尔科夫树(hidden Markov tree,HMT)模型和D-S(Dempster-Shafer)证据理论,提出一种新的SAR图像分割算法。该算法首先将隐马尔科夫树模型推广到Contourlet域,在多尺度HMT上采用D-S证据融合理论有效地融合Contourlet系数的持续性和聚集性,最后导出融合后的最大后验多尺度分割公式。本文算法对实测SAR图像进行分割试验,试验结果表明:与小波域上的HMT-MRF(Markovrandom field,MRF)融合分割及Contourlet域上HMT和MRF分割算法相比,本文算法在抑制斑点噪声的同时,可有效地提高SAR图像的分割精度。
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| 关 键 词： | SAR图像分割 Contourlet变换 隐马尔科夫树(HMT) D-S证据理论 |
Segmentation Algorithm for BAR Images Based on Fusion of HMT in the Contourlet Domain and D-S Theory of Evidence |
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| WU Yan,JIAO Jingmei,YANG Xiaoli,XIAO Ping,LI Ming.Segmentation Algorithm for BAR Images Based on Fusion of HMT in the Contourlet Domain and D-S Theory of Evidence[J].Acta Geodaetica et Cartographica Sinica,2011,40(2). |
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| Authors: | WU Yan JIAO Jingmei YANG Xiaoli XIAO Ping LI Ming |
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| Institution: | WU Yan 1,JIAO Jingmei2,YANG Xiaoli 1,XIAO Ping 2,LI Ming 3 1.School of Electronics Engineering,Xidian University,Xi'an 710071,China,2.Shaanxi Bureau of Surveying & Mapping,Xi'an 710054,3.National Key Lab.of Radar Signal Processing |
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| Abstract: | Considering the Contourlet's advantages of multiscale,localization,directionality and anisotropy,a new segmentation algorithm is proposed for SAR images based on hidden Markov tree in the Contourlet domain and D-S theory of evidence.Firstly,the algorithm extends the hidden Markov tree framework to the Contourlet domain.Then,the clustering and persistence of the Contourlet transform are effectively fused using D-S theory in HMT model,and the maximum a posterior(MAP) segmentation equation for the new fusion m... |
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| Keywords: | SAR images segmentation Contourlet transform hidden Markov tree(HMT) D-S theory of evidence |
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