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一种离焦模糊遥感图像盲复原方法
引用本文:姜明勇,陈向宁,喻夏琼.一种离焦模糊遥感图像盲复原方法[J].测绘科学,2012(4):135-137.
作者姓名:姜明勇  陈向宁  喻夏琼
作者单位:装备指挥技术学院
摘    要:由于发射过程中的超重和复杂的工作环境,遥感卫星的光学系统常发生像面离焦,直接影响了成像质量,降低了图像的空间分辨率。本文提出了一种大尺寸离焦模糊遥感图像的盲复原方法,用于提高这种图像的分辨率。该方法采用微分自相关法估计离焦半径,采用适用于大尺寸图像复原的连续Hopfield神经网络次优算法实现复原,结合能保留图像细节信息的调和模型,能较好地提高大尺寸离焦遥感图像的清晰度。仿真结果证实了方法的有效性。

关 键 词:离焦遥感图像  盲目复原  微分自相关估计法  连续Hopfield神经网络  次优算法  调和模型

A blind restoration method for defocus blurred remote sensing imagery
JIANG Ming-Yong,CHEN Xiang-ning,YU Xia-qiong.A blind restoration method for defocus blurred remote sensing imagery[J].Science of Surveying and Mapping,2012(4):135-137.
Authors:JIANG Ming-Yong  CHEN Xiang-ning  YU Xia-qiong
Institution:(Academy of Equipment Command and Technology,Beijing 101416,China)
Abstract:Due to the complex work environment and the overweight during launching process,optical system of remote-sensing satellite is often defocused which influences the quality of imaging directly and reduces the spatial resolution of image.To improve the resolution of image,this article proposed a blind restoration method for big size defocus blurred remote-sensing image.The proposed method used Differential-Autocorrelation to estimate defocus radius and implementd restoration by continuous Hopfield neural network sub-optimal restoration which fits for restoration of big size image.Combining with the Harmonic model which can reserve the details of image,the proposed restoration method improved the definition of big size defocused remote-sensing image greatly.Simulation tested the effectiveness.
Keywords:defocused remote-sensing image  blind restoration  Differential-Autocorrelation estimation  continuous Hopfield neural network  sub-optimal algorithm  harmonic model
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