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

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.