缺少地面控制点的多源SAR影像联合定位方法

摘要

To solve the the problem of the lack of ground control points in the multi-sensor SAR remote sensing imagery co-geolocation, this paper proposed the method of rational function model based on bundle adjustment. Firstly, RFM model for each SAR imagery was calculated, and then the RFM model based on bundle adjustment using affine transformation in the image space perform was used to realize the joint geo- location for multi-sensor SAR remote sensing under lacking control points. Experiments were carried out on a group of SAR images from different sources and the validity of the method was verified. The results show that when there is a lack of control points, the method is able to obtain better location accuracy than that of strict geometric model based on bundle adjustment.%针对缺少地面控制点情况下的多源SAR遥感影像联合定位的实际问题，提出了一种基于有理函数模型区域网平差的SAR影像联合定位方法．首先对多源SAR影像构建RFM模型，然后利用基于像方仿射变换模型的RFM区域网平差实现了缺少地面控制点情况下的多源SAR影像联合定位．对覆盖我国四川地区的一组不同源SAR影像进行试验，验证了方法的有效性，并表明在缺少地面控制情况下，该方法可以取得比基于严格成像几何模型区域网平差方法更高的定位精度．