单视数SAR图像Speckle滤波方法的研究

徐新; 廖明生; 朱攀; 卜方玲

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单视数SAR图像Speckle滤波方法的研究

徐新, 廖明生, 朱攀, 卜方玲

文章导航 > 武汉大学学报 ● 信息科学版 > 1999 > 24(4): 312-316

徐新, 廖明生, 朱攀, 卜方玲. 单视数SAR图像Speckle滤波方法的研究[J]. 武汉大学学报 ● 信息科学版, 1999, 24(4): 312-316.

引用本文:

徐新, 廖明生, 朱攀, 卜方玲. 单视数SAR图像Speckle滤波方法的研究[J]. 武汉大学学报 ● 信息科学版, 1999, 24(4): 312-316.

Xu Xin, Liao Mingsheng, Zhu Pan, Pu Fangling. Research on Speckle Filtering of Single-look SAR Image[J]. Geomatics and Information Science of Wuhan University, 1999, 24(4): 312-316.

Citation:

Xu Xin, Liao Mingsheng, Zhu Pan, Pu Fangling. Research on Speckle Filtering of Single-look SAR Image[J]. Geomatics and Information Science of Wuhan University, 1999, 24(4): 312-316.

单视数SAR图像Speckle滤波方法的研究

武汉测绘科技大学光电工程学院, 武汉市珞喻路129号, 430079

基金项目: 国家自然科学基金;测绘遥感信息工程国家重点实验室开放研究基金,69782001及WKL(98)2108

详细信息

作者简介:
徐新,男,32岁,博士生,讲师,现主要从事雷达影像处理等研究

中图分类号: TP751

Research on Speckle Filtering of Single-look SAR Image

School of Photoelectric Engineering, WTUSM, 129 Luoyu Road, Wuhan, China, 430079

摘要: 在分析单机数SAR影像的Speckle局部统计特性和现有的空间滤波算法的基础上,提出了一种新的Speckle滤波方法,该方法采用特殊的滤波窗口邻域划分方法,根据窗口相对标准差自适应地调整窗口尺寸和窗口内的滤波区域。该方法被用于多幅单视数ERS-1/2SAR图像去Speckle处理,并与以往的典型算法进行了比较,取得了较好的实验结果。
- 合成孔径雷达 /
- 斑点噪声 /
- 相对标准差 /
- 单视数 /
- 有效视数
Abstract: Since synthetic aperture radar (SAR) is a coherent system, images acquired by SAR are accompanied with speckle noise which disturbs image interpretation and target classification. This noise is conspicuous in single-look SAR images. Based on the analysis of the local speclke statistics characteristics of single-look SAR image and algorithms of spatial filtering,an adaptive speckle filtering method is presented in this paper. The Kuan filter which is based on MMSE criterion is modefied in the method. One of the focal points of the algorithm is to find the set of pixels which belong to the same homogeneous area within filtering windows adaptively. The local relative standard deviation within filtering windows is und as the crucial parameter while a special neighborhood model is used in the filtering window in order to choose the largest homogeneous area within filtering windows. Firstly the formal relative standard deviation C_x of filtering window is calculated.Then the filtering window is divided into eight mutually exclusive sub-window and the central pixel is the only repetitious pixel in each sub-window. For every sub-window, the local relative standard deviation C_i is calculated. If C_x is large than a threshold C_u,the sub-window with the greatest C_i is removed from filtering window and C_x of remaining pixels in filtering window is recalculated. Repeat the procedure until C_x<C_u. The remaining sub-window are meed as filtering area. The selected filtering area is the largest homogeneous area in filtering window and the Kuan filtering algorithm is adopted within the filtering area. If all sub-window within filtering window are removed, reduce the size of window for the determination of homogeneous area. If the size of window is 3 by 3 pixels, replace the central pixel with the average of the nearest four pixels around it. The method is applied to several single-look ER-1/2 SAR images. The results show that the performance of the approach presented is satisfactory in both speckle filtering and the Preservation of image details, and in generating visually-natural images as well.
- synthetic aperture radar /
- speckle /
- relative standard deviation /
- single-look /
- effective number of looks

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单视数SAR图像Speckle滤波方法的研究

武汉测绘科技大学光电工程学院, 武汉市珞喻路129号, 430079

基金项目: 国家自然科学基金;测绘遥感信息工程国家重点实验室开放研究基金,69782001及WKL(98)2108

作者简介:
徐新,男,32岁,博士生,讲师,现主要从事雷达影像处理等研究

收稿日期: 1999-04-13
刊出日期: 1999-04-05

中图分类号: TP751

关键词:

单视数 /

摘要: 在分析单机数SAR影像的Speckle局部统计特性和现有的空间滤波算法的基础上,提出了一种新的Speckle滤波方法,该方法采用特殊的滤波窗口邻域划分方法,根据窗口相对标准差自适应地调整窗口尺寸和窗口内的滤波区域。该方法被用于多幅单视数ERS-1/2SAR图像去Speckle处理,并与以往的典型算法进行了比较,取得了较好的实验结果。

English Abstract

Research on Speckle Filtering of Single-look SAR Image

School of Photoelectric Engineering, WTUSM, 129 Luoyu Road, Wuhan, China, 430079

Received Date: 1999-04-13
Publish Date: 1999-04-05

Keywords:

Abstract: Since synthetic aperture radar (SAR) is a coherent system, images acquired by SAR are accompanied with speckle noise which disturbs image interpretation and target classification. This noise is conspicuous in single-look SAR images. Based on the analysis of the local speclke statistics characteristics of single-look SAR image and algorithms of spatial filtering,an adaptive speckle filtering method is presented in this paper. The Kuan filter which is based on MMSE criterion is modefied in the method. One of the focal points of the algorithm is to find the set of pixels which belong to the same homogeneous area within filtering windows adaptively. The local relative standard deviation within filtering windows is und as the crucial parameter while a special neighborhood model is used in the filtering window in order to choose the largest homogeneous area within filtering windows. Firstly the formal relative standard deviation C_x of filtering window is calculated.Then the filtering window is divided into eight mutually exclusive sub-window and the central pixel is the only repetitious pixel in each sub-window. For every sub-window, the local relative standard deviation C_i is calculated. If C_x is large than a threshold C_u,the sub-window with the greatest C_i is removed from filtering window and C_x of remaining pixels in filtering window is recalculated. Repeat the procedure until C_x<C_u. The remaining sub-window are meed as filtering area. The selected filtering area is the largest homogeneous area in filtering window and the Kuan filtering algorithm is adopted within the filtering area. If all sub-window within filtering window are removed, reduce the size of window for the determination of homogeneous area. If the size of window is 3 by 3 pixels, replace the central pixel with the average of the nearest four pixels around it. The method is applied to several single-look ER-1/2 SAR images. The results show that the performance of the approach presented is satisfactory in both speckle filtering and the Preservation of image details, and in generating visually-natural images as well.

徐新, 廖明生, 朱攀, 卜方玲. 单视数SAR图像Speckle滤波方法的研究[J]. 武汉大学学报 ● 信息科学版, 1999, 24(4): 312-316.

引用本文:

徐新, 廖明生, 朱攀, 卜方玲. 单视数SAR图像Speckle滤波方法的研究[J]. 武汉大学学报 ● 信息科学版, 1999, 24(4): 312-316.

Xu Xin, Liao Mingsheng, Zhu Pan, Pu Fangling. Research on Speckle Filtering of Single-look SAR Image[J]. Geomatics and Information Science of Wuhan University, 1999, 24(4): 312-316.

Citation:

Xu Xin, Liao Mingsheng, Zhu Pan, Pu Fangling. Research on Speckle Filtering of Single-look SAR Image[J]. Geomatics and Information Science of Wuhan University, 1999, 24(4): 312-316.