F. Leberl模型与干涉测量模型相结合的InSAR影像区域网平差

为解决西部测图中缺少控制点的问题,提出了一种新的干涉合成孔径雷达(InSAR)影像区域网平差方法.该方法将F.Leberl模型与干涉测量模型相结合,并采用交替趋近与LDL’稀疏矩阵分解技术求解大规模法方程.实验结果表明,与传统的基于F.Leberl模型的平差方法相比较,提出的方法精度更高.由于新模型中增加了三个定标参数,因此能够同时实现多航带幅度图像以及数字高程模型(DEM)的联合平差.最后结合实际机载InSAR系统参数对影响平差精度的因素进行了详细的分析.

Block adjustment of InSAR images based on the combination of F.Leberl and interferometric models

In order to solve the problem of lacking control points during the process of western mapping, this paper presents a new method of block adjustment for interferometric synthetic aperture radar (InSAR) images. This method combines the F.Leberl model and the interferometric model. The alternative approximation method as well as LDL split coefficient matrix method is also used to calculate the large scale normal equation. The experimental results show that the precision of block adjustment is higher with the new method compared with the traditional method based on F.Leberl model. By adding three calibration parameters, the block adjustment of amplitude images and digital elevation model (DEM) could be realized at the same time. At last, the factors that influence the precision of block adjustment are analyzed in detail by using the actual InSAR parameters.