一种针对机载重轨干涉SAR数据的配准方法

配准作为干涉处理过程中的重要一步，其精度直接影响后续的处理。机载重复轨道干涉数据，由于飞行的姿态不一致，导致影像间产生较大的相对变形，常规的方法无法对整幅影像进行配准。本文结合SIFT匹配算法的稳健性和解析搜索配准算法高精度的优点，利用飞行轨道间的关系和统计分析剔除错误的匹配，提出了一种针对机载重复轨道干涉数据的配准方法，有效解决了机载重复轨道干涉数据的配准问题。首先利用SIFT匹配算法提取一定数量的匹配点，然后利用飞行轨道之间的关系和对匹配点偏移量的统计分析，剔除误匹配的点，完成粗配准，最后使用解析搜索算法完成精配准。本文利用国产CASMSAR系统获取的机载P波段重复轨道干涉数据进行实验，取得了良好的效果。

A Registration Approach Based for Airborne Repeat Pass InSAR

As one of the basilica steps in InSAR data processing, the accuracy of registration affects the quality of subsequent processing. Because of different flight attitudes, there is large relative deformation between images obtain by airborne SAR system from different flight courses. Conventional methods cannot deal with the entire images. In this paper, the robustness of the SIFT matching algorithm and high precision of analytic search registration approach are combined, excluding the mismatch using the relationship between the flight path and statistical analysis of offset between images, and a method is proposed for registration of airborne repeat pass InSAR, which effectively solves the problem in registration of airborne repeat pass InSAR. First, SIFT matching algorithm to extract matching points, and then eliminate false matching points using the relationship between flight courses and statistical analysis of the offset of matching points, to complete the rough registration, and finally use analytic search method to complete the fine resolution. P-band airborne repeat pass InSAR data obtained by CASMSAR are processed and good results are achieved.