基于RPC模型的遥感影像联合定位技术研究

Research on Remote Sensing Image Joint Location Technology Based on RPC Model

针对不同类型遥感影像的构像模型种类很多,本文设计了一种自适应选择机制,为不同的影像选择最合适的构像模型,以构建出最佳的"复合式"立体定位方程组。此外,与传统的立体定位方法不同,"复合式"立体定位方程组中各个方程的形式不同,在方程组解算过程中权阵对结果的影响将非常显著。通过实验分析发现复合式立体定位确实可以提高高分辨率遥感影像的几何定位精度。

There were many kinds of image models for different types of remote sensing images.In this paper,an adaptive selection mechanism was designed to select the most suitable image model for different types of images,in order to construct the best"composite"stereo positioning equations.In addition,unlike traditional stereo positioning methods,the form of each equation in the compound stereo positioning equation group was different,and the weight matrix will had a significant influence on the results in the process of solving the equation group.Through the experimental analysis,it was found that the compound stereo positioning can indeed improve the geometric positioning accuracy of high resolution remote sensing images.