Joint Positioning of Multi-sensor SAR Remote Sensing Imagery Based on RFM

As a kind of generic sensor model, the rational function model (RFM) has been widely used in geometric processing of optical images, but its application to SAR datasets is not deep enough. This paper introduces the RFM model block adjustment to the joint positioning of multi-sensor SAR remote sensing imagery. And the comparison of rigorous model based and RFM model based block adjustment for joint positioning of multi-source SAR imagery are analyzed. The experiment results have shown that the accuracies of both methods are similar when the ground control points are enough and well distributed. However, the RFM-based block adjustment has better accuracy and more stability than the block adjustment based on rigorous geometric processing model when lack of ground control points.