机载重轨干涉合成孔径雷达数据的一种配准方法

摘要

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。本文结合尺度不变特征变换(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计算偏移量范围对 SIFT算法加以改进，提出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关键点，然后利用飞行轨道之间的关系为约束条件对关键点进行匹配，完成粗配准，最后使用解析搜索算法完成精配准。并利用国产CASMSAR系统获取的机载P波段重复轨道干涉数据进行了试验，效果良好。%As one of the basal 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 obtained 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,improving SIFT matching algorithm using the relationship between the flight path,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 key points,and then match key points under the relationship between the flight path,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.