Geometric Quality Improvement Method of Optical Remote Sensing Satellite Images Based on Rational Function Model

The high-precision geometric positioning of optical remote sensing satellites is the prerequisite to determine application capability satellite image products. Its accuracy related observation each link in imaging process, including attitude, orbit measurement accuracy, time synchronization camera and so on. Untimely inaccurate on-orbit calibration will lead great errors. To optimize images with rational function model (RFM) under low our paper proposes an improved quality based on reorientation internal external orientation elements RFM images. By establishing model, original can be reorientated. Then, we use generate uniformly distributed virtual ground control points. analyzing verifying relationship between polynomial coefficient (RPC) its influence propose RPC coefficients optimization method offset correction dominant coefficients. Finally, small “MN200Sar-1” for experimental verification. results show that effectively eliminate errors calibration, from one hundred pixels pixel. At same time, improve without introducing additional compensation parameters.