| 星载InSAR非相干图像对精确配准 |
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| 引用本文： | 刘子龙,董臻,蔡斌,孙造宇.星载InSAR非相干图像对精确配准[J].遥感技术与应用,2008,23(4):446-450. |
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| 作者姓名： | 刘子龙 董臻 蔡斌 孙造宇 |
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| 作者单位： | （国防科学技术大学空间微波探测实验室,湖南 长沙 410073） |
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| 摘 要： | 为了解决星载InSAR非相干图像配准中不同区域对应不同形变参数的问题,将几种传统的SAR图像配准和光学图像配准的方法有机结合,提出了一种基于概略配准、Harris角点检测、相关系数匹配、Delaunay三角网剖分插值映射的InSAR复图像精确配准方法。通过仿真验证,该方法能够适用相干和非相干的InSAR复图像。配准精度达到0.1像素级。
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| 关 键 词： | 图像配准 Harris角点检测 相关系数 Delaunay三角网 InSAR |
A Robust Registration Method of InASR Complex Images with Large Distortion |
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| LIU Zi-long,DONG Zhen,CAI Bin,SUN Zao-yu.A Robust Registration Method of InASR Complex Images with Large Distortion[J].Remote Sensing Technology and Application,2008,23(4):446-450. |
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| Authors: | LIU Zi-long DONG Zhen CAI Bin SUN Zao-yu |
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| Affiliation: | (School of Electronic Science and Engineering,National University;
of Defense Technology Changsha,Changsha,410073 China) |
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| Abstract: | In order to solve the problem of large distortion on InSAR images,based on comparison of several registration methods on SAR and optical sensors images,a robust algorithm composed of coarse registration,Harris corner detection,correlation matching,Delaunay Triangulation is proposed.It has been proved by simulation that the method is applicable to InSAR complex images with large distortion.The accuracy of registration is at 0.1 pixel level. |
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| Keywords: | InSAR |
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