| 基于Sigma方法的SAR图像斑点噪声滤波器 |
| |
| 引用本文： | 苑云,李壮,朱宪伟.基于Sigma方法的SAR图像斑点噪声滤波器[J].航天返回与遥感,2011,32(4):37-44. |
| |
| 作者姓名： | 苑云 李壮 朱宪伟 |
| |
| 作者单位： | 国防科学技术大学航天与材料工程学院,长沙,410073 |
| |
| 基金项目： | 国家自然科学基金(60904084); 863项目支持(2007AA12Z121) |
| |
| 摘 要： | 文章基于传统Sigma滤波器,提出了一种新的SAR图像滤波方法。首先,分析指出传统Sigma滤波器处理复合噪声和保持弱边缘的能力较弱的缺点。然后,改进Sigma滤波器的δ-条件,使之更加适应复合噪声分布条件下的SAR图像滤波。提出了灰度中心偏移的Sigma滤波（GCOSF）,增强Sigma滤波器保持弱边缘的能力。在GC...
|
| 关 键 词： | 图像处理 斑点噪声 复合噪声 西格玛滤波器 弱边缘信息 合成孔径雷达 |
An Improved SAR Image Speckle Noise Filter Based on Sigma Method |
| |
| Yuan Yun , Li Zhuang , Zhu Xianwei.An Improved SAR Image Speckle Noise Filter Based on Sigma Method[J].Spacecraft Recovery & Remote Sensing,2011,32(4):37-44. |
| |
| Authors: | Yuan Yun Li Zhuang Zhu Xianwei |
| |
| Institution: | Yuan Yun 1,2 Li Zhuang 1,2 Zhu Xianwei 1,2 (1 College of Aerospace and Material Engineering,National University of Defense Technology,Changsha 410073,China)(2 Hunan Key Laboratory of Videometrics and Vision Navigation,China) |
| |
| Abstract: | This paper proposed an improved SAR image speckle denoising method based on Sigma filter.First,it introduced the traditional Sigma filter and showed its weakness in removing complex noise and keeping weak edge.Second,the paper modified the δ-condition in Sigma filter to accommodate it to complex noise.Then,to maintain weak edge,it put forward a new method named gray center offset Sigma filter（GCOSF）.In GCOSF,local variance coefficient was utilized to detect regions which contain edges.Different filter strategies were applied to smooth region and marginal region.In the end,the results show that the GCOSF performed better than traditional Sigma filter and several other filters both in noise removing and edge keeping. |
| |
| Keywords: | Image processing Speckle Complex noise Sigma filter Weak edge Synthetic aperture radar |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
|
