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。
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.
出处
《遥感技术与应用》
CSCD
2008年第4期446-450,共5页
Remote Sensing Technology and Application
