Image Motion Velocity Model and Compensation Strategy of Wide-Field Remote Sensing Camera

During the orbit imaging of the wide-field remote sensing camera, it is affected by the earth's rotation, satellite jittering, attitude maneuverings and other factors, resulting in a decrease in image quality. Therefore a image motion velocity modeling is put forword, which is suitable for the wide-field of the remote sensing camera and considers the effect of off-axis angle on the calculation accuracy, to deduce the off-axis three-mirror camera image motion velocity and drift angle. Taking a satellite as an example, the distribution of the image motion velocity and the drift angle in the focal plane of the three typical imaging modes is simulated. The simulation results, which are consistent with the qualitative analysis results, verify the validity of the image motion velocity model. On this basis, a corresponding image motion compensation strategy is proposed against the scroll and pitch imaging mode. The compensation effect shows that, when the satellite is imaging as scrolling and pitching angles are both 35°, the global optimization drift angle matching strategy can guarantee that the MTF of the whole focal area is greater than 0.95 (16 integration stages). The MTF of the focus observation target is greater than 0.95 (96 integration stages) with the local optimization drift angle matching strategy. Using the proposed method of image motion velocity matching strategy, the MTF of the whole focal area is greater than 0.95 (16 integration stages) when dividing the row cycles into 11 groups. The simulation results show that the proposed strategy can effectively solve the image quality degradation problem when scroll and pitch imaging and can provide a reliable basis for the image motion compensation of the wide-field remote sensing camera.