嫦娥一号卫星CCD立体相机影像超分辨率重建算法

Super-resolution reconstruction of Chang′e-1 satellite CCD stereo camera images

针对嫦娥一号卫星CCD立体相机空间分辨率不足的问题,运用最大后验概率估计法(MAP)实现了月表影像的超分辨率重建。介绍了嫦娥一号卫星CCD立体相机的成像模型,分析了图像获取过程中的主要影响因素,并建立了相应的超分辨率重建模型。基于该模型,首先采用误差-参数分析法估计嫦娥一号卫星CCD立体相机动态成像光学系统的点扩散函数(PSF);然后将估计的PSF应用到MAP算法所建立的目标函数中,采用共轭梯度法对目标函数进行最值求解;再通过VC软件平台编程实现了对单帧正视月表影像的超分辨率重建;最后从信息熵、清晰度和频谱等方面对重建图像进行评价,结果表明重建图像像质优良。

Considering the limited space resolution of the Chang′e-1 satellite′s CCD stereo camera,MAP（maximum a posteriori probability） algorithm is used for lunar images super-resolution reconstruction.Imaging model of the Chang′e-1 satellite CCD stereo camera,analyses chief factors which determine the image quality in brief,and establishes appropriate model for super-resolution reconstruction are introduced.According to this reconstruction model,the error-parameter analysis was used to estimate the point spread function（PSF） of dynamic imaging system of the Chang′e-1 satellite CCD stereo camera firstly.Secondly,the estimated PSF was applied to the objective function established by the MAP algorithm,and the conjugate gradient method（CGM） was used to solve the extreme value of the function.Thirdly,the super-resolution reconstructions of the single frame normal lunar images were prograrmmed on VC software platform.Finally,the reconstructions through entropy,definition and spectrum were evaluated.Results show that the reconstructions quality is of great.