Super-resolution Reconstruction of ChangE-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 ChangE-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 ChangE-1 satellite CCD stereo camera, analyses main factors which determine the images 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 ChangE-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.

关键词： ChangE-1 Satellite super-resolution MAP Conjugate Gradient Method Gibbs

作者: Lei Zhang Jianfeng Yang Bin Xue Fan Bu

作者单位: Key laboratory of spectrum imaging technology Xian Institute of Optics and Precision Mechanics.CAS Key laboratory of spectrum imaging technology Xian Institute of Optics and Precision Mechanics.CAS

会议类型: 国际会议

会议名称: 2011 3rd International Conference on Computer and Network Technology(ICCNT 2011)(2011第三届IEEE计算机与网络技术国际会议)

会议地点: 太原

会议语种:英文

页码: 212-216

在线出版日期: 2011-02-26（万方平台首次上网日期，不代表论文的发表时间）