短曝光ERS图像的后验滤波算法,对大气畸变的空间不变性

K. Sviridov
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引用次数: 0

摘要

. 地球遥感(ERS)的光学图像被湍流大气的表层所扭曲。为了补偿大气畸变,建议利用探测器后空间滤波算法技术对畸变图像进行滤波。针对利用遥感望远镜-大气系统短曝光图像后验确定光学传递函数问题,提出了一种解决方法。讨论了现有的瞬时OTF大气望远镜星等和相位估计的后验确定算法,并提出了新的后验确定算法。在此基础上,提出定义一个统计上相似的对象作为参考来评估OTF模块,并提出使用统计平均和递归重构算法来评估OTF的相位。根据得到的星等和相位的后检估计,形成大气-望远镜OTF,用于对捕获图像进行维纳滤波和空间滤波大气畸变。最后给出了验证该理论的实验结果。
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A Posteriori Filtering Algorithms for Short-Exposure ERS Images, Spatially Invariant to Atmospheric Distortions
. Optical images of Earth remote sensing (ERS) are distorted by the surface layer of the turbulent atmosphere. To com-pensate for the atmospheric distortions it is suggested to utilize the algorithmic technologies of postdetector spatial filtering of the distorted image. The article proposes a solution to the problem of the a posteriori determination of the optical transfer function (OTF) from the remote sensing telescope-atmosphere system by its short-exposure image. The existing algorithms of a posteriori determination of the magnitude and phase estimates of the instantaneous OTF atmosphere-telescope are discussed and new ones are provided. Therewith, to assess the OTF module, it is proposed to define and use a statistically similar object as a reference, and for the evaluation of the phase of the OTF it is proposed to use the statistical averaging and the recursive reconstruction algorithm. According to the a posteriori obtained estimates of the magnitude and phase, the atmosphere-telescope OTF is formed, which is used to form the Wiener filter and spatial filtering atmospheric distortions of the captured image. The results of experiments confirming the theory are presented.
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