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微扫描中的一种改进正则化图像重建方法
An improved regularized image reconstruction method in micro-scanning

作  者: (何嘉); (王成良); (钟伟); (张松芝);

机构地区: 空军预警学院,武汉430019

出  处: 《空军预警学院学报》 2017年第4期261-265,269,共6页

摘  要: 为了提高遥感卫星成像分辨率,设计和搭建了亚像素控制精度的二维微扫描探测平台,并利用正则化算法对多幅不同相位的微扫描图像重建,融合成高分辨率图像.为解决传统正则化方法使图像部分边缘变得过于平滑的问题,提出了在传统正则化算法基础上增加反卷积预处理和空间滤波的改进方法.在2×2微扫描工作模式下,采用ISO-12233分辨率板进行了测试实验.测试结果表明,重建后的图像分辨率提高且噪声得到抑制;使用Imatest软件客观评价,传递函数值从低频到高频都得到提升,在中低频,提升明显,从而验证了微扫描的实际应用效果. In order to improve the imaging resolution of remote sensing satellites,this paper designs a two-dimensional micro-scanning detection platform with sub-pixel control precision and constructed,and also uses the regularized algorithm to reconstruct the micro-scanning images with different phases into a high-resolution image.In order to solve the problem that the traditional method makes parting edges of the images too smooth,the paper proposes an improved method of adding deconvolution and spatial filtering based on the traditional regularization algorithm,and in the2×2micro-scanning operation mode,utilizes the ISO-12233resolution board for testing.The results show that the resolution of the reconstructed image is improved and the noise suppressed.Imatest software is used to demonstrate that the transfer function value is escalated from low frequency to high frequency,and that in the middle and low frequency the escalation is obvious,thus verifying the practical effect of micro-scanning.

关 键 词: 光学成像系统 微扫描 超分辨率重建 调制传递函数

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