作　　者： ; ; ;

机构地区： 湖南大学电气与信息工程学院

出　　处： 《测绘学报》 2007年第1期62-66,77,共6页

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。 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.

关 键 词： 边缘提取 整体松弛 相位 配准

领　　域： [天文地球] [天文地球]