利用直线特征进行有理多项式模型精度优化

Accuracy Optimization of RPC Model Based on Linear Features Control

针对控制点获取较困难地区有理多项式(RPC)模型定位精度不高的情况,提出了一种利用直线特征进行RPC模型精度优化的算法。该算法借鉴利用地面控制点进行RPC模型系统误差补偿的基本原理,通过对物方和像方直线特征的参数化表达,实现了基于直线特征的RPC模型系统误差补偿。利用该算法以及传统方法对资源三号(ZY-3)卫星影像进行实验。结果表明:在缺少地面控制点的情况下,利用直线特征对RPC模型进行精度优化是可行的;当地面控制线数量达到4条以上时,优化后RPC模型的定位精度可以达到与同等数量控制点相当的水平。

According to the principle of system error compensation of RPC model based on ground control points,this paper deduced RPC model system error compensation based on linear features in image space and object space by parametric expression of linear features,and carried out experiments by ZY-3 satellite images.The results show that it is feasible by using the straight line features for accuracy optimization of the RPC model when lack of GCPs.When the number of GCLs beyond 4, the accuracy can achieve the same level with equal number of GCPs.