中文摘要：

月面起伏较大导致嫦娥一号CCD多视影像之间的形变是非刚性的,传统的基于仿射变换配准的超分辨率重建方法很难取得理想的效果。本文提出了一种新的基于光流配准的超分辨率重建方法,该方法采用双边总变分（bilateral total variation,BTV）超分辨率重建方法迭代求解高分辨率影像,迭代初始值由光流配准后的多视影像共同产生,并在迭代求解高分辨率影像的过程中更新光流场。实验结果表明,本文方法解决了嫦娥一号CCD多视影像超分辨率重建中的亚像素精确配准问题,重建影像的空间分辨率显著提高,细节分辨能力增强。

英文摘要：

As the deformation among multi-view images from the Chang＇E-1 CCD is non-rigid, given the non-planarity of the moon surface, the traditional methods based on the affine transform model are not suitable for super-resolution correction. For this reason, a new optical flow based super-resolution framework is proposed. In the framework, the BTV method is employed to estimate a high resolution image iteratively. The initial values for a high resolution image are generated by all multi-view images that are registered by optical flow, while the optical flow fields are updated each iteration. Experimental results show that the proposed method performs better for the super-resolution of Chang＇E-1 CCD multi-view images than affine transform based methods. The resolution of the reconstructed image is greatly improved and more details are visible without ringing-effects.