| 各向异性正则化的多帧遥感图像盲复原算法 |
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| 引用本文： | 宋向,耿则勋,王振国,李豪.各向异性正则化的多帧遥感图像盲复原算法[J].测绘学院学报,2011(3). |
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| 作者姓名： | 宋向 耿则勋 王振国 李豪 |
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| 作者单位： | 信息工程大学测绘学院;75719部队;96669部队;73603部队; |
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| 基金项目： | 国家自然科学基金资助项目(60778051); 信息工程大学测绘学院硕士学位论文创新与创优基金资助项目(S201005) |
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| 摘 要： | 在大气湍流较强时,一般的遥感图像复原算法难以取得较好的复原效果。针对这种情况,提出了一种基于各向异性约束的多帧遥感图像盲复原算法。该算法不需要成像过程的先验信息,仅根据图像及点扩散函数的非负约束和支持域约束,即可得到较好的复原结果;同时该算法能够自适应地调整正则化参数,在实现图像复原的同时,保持边缘并抑制噪声。试验结果验证了该算法的良好性能,复原后图像的质量得到较大提高。
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| 关 键 词： | 各向异性正则化 大气湍流 湍流降质图像 盲复原 多帧图像复原 |
Multi-Frame Blind Restoration of Remote Sensing Images Using Anisotropic Regularization |
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| SONG Xiang,GENG Ze-xun,WANG Zhen-guo,LI Hao.Multi-Frame Blind Restoration of Remote Sensing Images Using Anisotropic Regularization[J].Journal of Institute of Surveying and Mapping,2011(3). |
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| Authors: | SONG Xiang GENG Ze-xun WANG Zhen-guo LI Hao |
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| Institution: | SONG Xiang1,2,GENG Ze-xun1,WANG Zhen-guo3,LI Hao4(1.Institute of Surveying and Mapping,Information Engineering University,Zhengzhou 450052,China,2.75719 Troops,Wuhan 430074,3.96669 Troops,Beijing 102208,4.73603 Troops,Nanjing 210049,China) |
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| Abstract: | When the observed remote sensing images are heavily degraded by the atmospheric turbulence,the traditional restored methods can not achieve a satisfactory result.In order to solve this problem,a multi-frame blind restoration algorithm that incorporated the anisotropic regularization was proposed.This algorithm employed no priori information of the imaging process and can get a favorable reconstructed image only using the non-negativity and support region constraints of the image as well as the point spread ... |
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| Keywords: | anisotropic regularization atmospheric turbulence turbulence degraded images blind restoration multi-frame image restoration |
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