提出了一种SAR图像自适应超分辨率(SR)盲重建算法。首先给出了一种图像退化过程中模糊核函数的选择策略;然后基于最大后验概率提出了新的SAR图像配准与sR盲重建的框架;再次,针对每一幅低分辨率图像引入了重要性权值并随之给出了迭代算法的总体框架,使得算法具有自适应性。试验表明,算法在SAR图像SR重建上取得了良好的效果,并且具有较好的收敛性。
A method of adaptive blind super-resolution for SAR image is proposed. Firstly, the choice of blur function during the image degraded process is given. Then we develop a new scheme based on maximum a posteriori (MAP) for SAR image registration and blind SR reconstruction. Thirdly, we introduce weight to each LR frame to get the iterative scheme and make the method adaptive. Our experimental results show the good effect and astringency of the proposed algorithm used in SR reconstruction of SAR image.