基于有理函数模型的QuickBird立体定位精度分析

Accuracy Analysis and Improvement of QuickBird Stereo Positioning Based on Rational Function Model

摘要:

针对有理函数模型具有与传感器类型无关,是一种通用成像模型等特点,以上海地区的QuickBird异轨立体像对为例,利用原始影像提供的有理多项式系数,探讨了基于有理函数模型的卫星影像立体定位算法,系统分析了其定位误差的分布特点.在此基础上,提出了提高基于有理函数模型立体定位精度的多种补偿模型.实验结果表明,在该区域使用一阶仿射变换模型进行补偿,在5~6个均匀分布的控制点支持下,即可达到0.6~0.8 m的平面精度和1.0 m左右的高程精度.

Abstract:

Rational Function Model (RFM) is one of the universal imaging models with characteristic of sensor independency.The geopositioning solution based on Rational Polynomial Coefficients (RPC) is studied using QuickBird separateorbit stereo image pair in Shanghai district,China.The principle of RFMbased stereo positioning method is first introduced,and the positioning errors are then analyzed.Based on this,enhancing models are further presented for the improvement of geopositioning accuracy.The experimental results show that the affine model works best in the test area.The accuracy can reach to 0.6~0.8 m in planimetry and about 1.0 m in elevation based on the affine model by using 5~6 well distributed control points.