Restoration of Space Object Images by Using A Maximum Entropy Method

Due to the various factors of image degradation in the optical observation of space objects, the imaging process is affected, it reduces the detection accuracy and brings difficulty to the high-precision positioning calculation. In order to improve the positioning accuracy of space objects, the maximum entropy method is adopted for image restoration, with an a priori PSF (Point Spread Function) model. The measuring errors of object positions before and after restoration are compared to investigate the effectiveness of the image restoration. The experimental results indicate that the influences of image degradation are reduced, and the positioning accuracy of degraded images is obviously improved by using the maximum entropy method.