High-Frequency Jitter Detection by Registration Error Curve of High-Resolution Multi-Spectral Satellite Image

With improvement of spatial resolution of the satellite optical sensors, the influence of high-frequency attitude jitter of the satellite platform on image geometric and radiometric quality has become more and more seriously. It will obviously decrease the image absolute positioning accuracy, the charge coupled device (CCD) geometric splicing accuracy and the image clarity. Based on the design features of time-division multi-spectral sensor of the Chinese Mapping Satellite-I, a high-frequency jitter detection method by dense matching and image registration error curve is proposed in this paper. The technique processing of jitter detection, the modeling and solution method of registration error curve and construction method of high-frequency jitter model are illustrated in details. Experiments and result analysis of dense matching, image registration and jitter curve extraction are conducted on the multi-spectral image of Chinese Mapping Satellite-I to validate the correctness of the proposed approach.