针对吉林一号视频03星凝视成像的特点,为提高其图像空间分辨率,解决光学系统分辨率不足的问题,提出一种视频卫星超分辨率重建的新算法--凸集中间映射。以主动观点分析视频卫星凝视成像特点,建立了基于凝视成像的图像降质模型。为求解该降质模型的逆过程,以凸集理论为基础,建立了基于中间降质过程的约束集和相应的点投影算子,通过点投影算子逐帧修正高分辨率图像灰度值,最终将重建的高分辨率图像约束于凸集的交集上。实验结果表明,该算法使图像分辨率提高近30%,克服了同类算法具有投影误差和重叠伪影的缺点,图像质量评价指标均优于所列其他算法,8帧重建得到收敛解,对不同清晰度的图像重建均具有可行性和稳健性。说明该算法适用于视频卫星图像超分辨率重建。

According to the characteristics of the staring imaging of Jilin-1 No.3 video satellite, in order to improve the spatial resolution of the image and overcome the insufficient resolution of optical system, a new algorithm of super-resolution reconstruction of a video satellite,intermediate convex sets mapping, is proposed. The characteristics of satellite staring imaging are analyzed based on the active view, and the degraded model is established based on the staring imaging. In order to solve the inverse process of the degraded model, the residual constraint set and the corresponding point projection operators in the intermediate degradation process are set up based on the convex set theory. The gray value of the high resolution image is corrected by the point projection operators, and finally the reconstructed high resolution image is constrained to the intersection of convex sets. The experimental results show that the new algorithm improves the image resolution by nearly 30%, and overcomes the disadvantages of the similar algorithms such as projection error and overlapping artifact. The image quality evaluation index is better than that of the other algorithms, and the convergence solution of the eight frames is obtained. It is feasible and robust to the image reconstruction with different definitions. All those show that the new algorithm is suitable for the super-resolution reconstruction of video satellite images.