| 基于统计理论的SAR图像斑点噪声滤波算法分析 |
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| 引用本文： | 范江涛,袁翔宇,汤博,李秀金.基于统计理论的SAR图像斑点噪声滤波算法分析[J].电子科技,2013,26(1):24-26. |
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| 作者姓名： | 范江涛 袁翔宇 汤博 李秀金 |
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| 作者单位： | (中国人民解放军63880部队 技术部,河南 洛阳 471003) |
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| 摘 要： | 合成孔径雷达图像固有的斑点噪声严重降低了图像的可解译程度,影响了后续目标检测、分类和识别等应用。文中通过对基于统计理论的SAR图像斑点噪声滤波方法进行比较分析,得出单个滤波器难以从去噪和边缘保持方面均达到最佳效果的结论。
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| 关 键 词： | 合成孔径雷达 斑点噪声 统计理论 |
Analysis of the Filtering Algorithm of SAR Image Speckle Noise Based on Statistic Theory |
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| FAN Jiangtao
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YUAN Xiangyu
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TANG Bo
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LI Xiujin.Analysis of the Filtering Algorithm of SAR Image Speckle Noise Based on Statistic Theory[J].Electronic Science and Technology,2013,26(1):24-26. |
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| Authors: | FAN Jiangtao YUAN Xiangyu TANG Bo LI Xiujin |
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| Affiliation: | (Technical Department,Unit 63891 of PLA,Luoyang 471003,China) |
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| Abstract: | Speckle noise in synthetic aperture radar (SAR) images severely affects the image quality and the following object classification and identification.This paper compares and analyses the filtering algorithms of SAR image speckle noise based on statistic theory.It is concluded that it is difficult to smooth speckle and to preserve edge by single filter synchronously. |
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| Keywords: | synthetic aperture radar (SAR) speckle noise statistic theory |
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