| 基于边缘提取和改进型整体松弛匹配算法的InSAR复图像配准方法 |
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| 引用本文： | 彭曙蓉,王耀南,刘国才.基于边缘提取和改进型整体松弛匹配算法的InSAR复图像配准方法[J].测绘学报,2007,36(1):62-66,77. |
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| 作者姓名： | 彭曙蓉 王耀南 刘国才 |
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| 作者单位： | 湖南大学,电气与信息工程学院,湖南,长沙,410082;长沙理工大学,电气与信息工程学院,湖南,长沙,410075;湖南大学,电气与信息工程学院,湖南,长沙,410082 |
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| 基金项目： | 国家自然科学基金项目(60375001)，教育部博士点基金项目(20030532004)，湖南大学科学基金重点项目(521101875) |
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| 摘 要： | 配准精度是InSAR合成孔径雷达干涉成像技术中的重要指标。为获得高精确度的测量结果,提出一种包括概略配准、像素级初配准和亚像素级精配准三个环节的逐级提高精度的InSAR复图像配准方法。利用EnView软件提供的经度和纬度实现概略配准、采用基于多边形结构和边缘提取的像素级初匹配方法大大提高匹配速度。考虑以往的匹配算法都是基于能量图进行并且忽略了整体性,采用基于整体松弛匹配和相位最小二乘匹配相结合的亚像素级精匹配算法减少误匹配率,提高匹配精度。实验结果证明该方法具有良好的性能。
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| 关 键 词： | 边缘提取 整体松弛 相位 配准 InSAR |
| 文章编号： | 1001-1595（2007）01-0062-05 |
| 修稿时间： | 2006-04-192006-06-29 |
A Method Improving Registration Accuracy Progressively for InSAR Complex Image |
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| PENG Shu-rong,WANG Yao-nan,LIU Guo-cai.A Method Improving Registration Accuracy Progressively for InSAR Complex Image[J].Acta Geodaetica et Cartographica Sinica,2007,36(1):62-66,77. |
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| Authors: | PENG Shu-rong WANG Yao-nan LIU Guo-cai |
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| Institution: | 1. College of Electric and Information Engineering of Hunan University, Changsha 410082, China ; 2. College of Electric and Information Engineering of Changsha University of Science and Technology, Changsha 410075, China |
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| Abstract: | Registration accuracy of InSAR is a key index.To obtain better measuring results,a method is proposed to improve registration accuracy progressively for InSAR complex image.The procedure includes calculating the approximate offsets by using software EnView,pixel level's primary match and sub-pixel level's precise co-registration.The primary matching algorithm based polygon structure and edge extraction enhances matching rate greatly.Considering that the presented algorithms are based on the altitude map and ignore the integration,the algorithm by using global relaxation matching on account of the phase is proposed in the last matching step to reduce the matching errors and improve matching precision.The experiment verified the nicer validity of this algorithm. |
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| Keywords: | edge extraction global relaxation phase registration InSAR |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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