Super-resolution Reconstruction of Chang'E-1 Satellite CCD Stereo Camera images Based on MAP Algorithm

摘要

Super-resolution reconstruction plays an important role in image analysis systems, especially in remote sensing field. Considering the limited space resolution of the Chang'E-1 satellite CCD stereo camera, we utilize MAP (maximum a posteriori probability-) algorithm to study lunar images superresolution reconstruction. This paper introduces the imaging model of the Chang'E-1 satellite CCD stereo camera, analyses main factors which determine the image's quality in brief, and establishes appropriate model for super-resolution reconstruction. Specifically we use the error-parameter analysis to estimate the PSF of dynamic imaging system of the Chang'E-1 satellite CCD stereo camera. With the estimated PSF, we achieve the super-resolution reconstructions of the single frame normal lunar image by MAP algorithm. Then we evaluate the reconstructions through entropy, definition and spectrum, and the results show that the reconstructions quality is great.