单视数SAR图像Speckle滤波方法的研究

徐新; 廖明生; 朱攀; 卜方玲

美国《工程索引》（EI）核心期刊
美国《剑桥科学文摘》（CSA）收录期刊
荷兰斯高帕斯数据库（Scopus）收录期刊
英国INSPEC数据库（SA）收录期刊

留言板

尊敬的读者、作者、审稿人, 关于本刊的投稿、审稿、编辑和出版的任何问题, 您可以本页添加留言。我们将尽快给您答复。谢谢您的支持!

姓名
邮箱
手机号码
标题
留言内容
验证码

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

[1]	邱春平, 秦志远, 熊新, 张红敏, 靳国旺, 李贺. 机载SAR影像定向中像点粗差的拟准检定方法 . 武汉大学学报 ● 信息科学版, 2019, 44(2): 283-288, 295. doi: 10.13203/j.whugis20150338
[2]	吴文豪, 王明洲, 李沙, 侯爱羚. 滑动聚束模式SAR影像干涉处理方法 . 武汉大学学报 ● 信息科学版, 2015, 40(12): 1588-1593. doi: 10.13203/j.whugis20140012
[3]	孙晗伟, 曾涛, 杨健, 李文梅. SAR残余相位误差对森林高度反演影响的全链路模拟与分析 . 武汉大学学报 ● 信息科学版, 2015, 40(2): 153-158.
[4]	翁寅侃, 李松, 杨晋陵, 易洪, 王虹, 马跃. SAR辐射定标中角反射器RCS的快速求解 . 武汉大学学报 ● 信息科学版, 2015, 40(11): 1551-1556. doi: 10.13203/j.whugis20130613
[5]	徐川, 华凤, 眭海刚, 陈光. 多尺度水平集SAR影像水体自动分割方法 . 武汉大学学报 ● 信息科学版, 2014, 39(1): 27-31.
[6]	郭际明, 黄长军, 喻小东, 陈元洪. 一种改进的二维经验模态分解SAR图像噪声抑制方法 . 武汉大学学报 ● 信息科学版, 2013, 38(12): 1445-1450.
[7]	刘康, TimoBalz, 廖明生. 利用后向散射特性从高分辨率SAR影像中提取建筑物高度 . 武汉大学学报 ● 信息科学版, 2012, 37(7): 806-809.
[8]	刘康, 廖明生, TimoBalz. 利用压缩感知方法的高分辨率三维层析SAR研究 . 武汉大学学报 ● 信息科学版, 2012, 37(12): 1456-1459.
[9]	李平湘, 邓少平, 张继贤, 杨杰. 利用自适应最优极化对比增强检测SAR影像边缘 . 武汉大学学报 ● 信息科学版, 2012, 37(7): 789-793.
[10]	何楚, 刘明, 许连玉, 刘龙珠. 利用特征选择自适应决策树的层次SAR图像分类 . 武汉大学学报 ● 信息科学版, 2012, 37(1): 46-49.
[11]	刘梦玲, 何楚, 苏鑫, 孙洪. 基于pLSA和Topo-MRF模型的SAR图像分类算法研究 . 武汉大学学报 ● 信息科学版, 2011, 36(1): 122-125.
[12]	邓少平, 李平湘, 张继贤, 黄国满. 基于乘积模型的极化SAR滤波 . 武汉大学学报 ● 信息科学版, 2011, 36(10): 1168-1171.
[13]	陈尔学, 李增元, 田昕, 凌飞龙. 星载SAR地形辐射校正模型及其效果评价 . 武汉大学学报 ● 信息科学版, 2010, 35(3): 322-327.
[14]	刘艳, 刘经南, 李陶, 夏耶. 利用高分辨率SAR卫星监测灾害条件下电网铁塔形变 . 武汉大学学报 ● 信息科学版, 2009, 34(11): 1354-1358.
[15]	汪长城, 廖明生. 一种多孔径SAR图像目标检测方法 . 武汉大学学报 ● 信息科学版, 2009, 34(1): 32-35.
[16]	徐新, 王雁, 陈嘉宇, 孙洪. 基于小波系数统计特征的SAR图像恢复 . 武汉大学学报 ● 信息科学版, 2006, 31(10): 855-857.
[17]	王青, 徐新, 管鲍, 孙洪. 一种基于Bayesian准则和MRF模型的SAR图像滤波方法 . 武汉大学学报 ● 信息科学版, 2005, 30(5): 464-467.
[18]	李陶, 刘经南, 廖明生. 重复轨道差分干涉测量参数模型的建立 . 武汉大学学报 ● 信息科学版, 2005, 30(8): 744-747.
[19]	杨文, 孙洪, 徐新, 徐戈. 星载SAR图像船舶及航迹检测 . 武汉大学学报 ● 信息科学版, 2004, 29(8): 682-685.
[20]	卜方玲, 徐新. 一种基于小波分析的SAR图像斑点噪声滤波算法 . 武汉大学学报 ● 信息科学版, 2001, 26(4): 315-319,330.

点击查看大图

计量

文章访问数: 830
HTML全文浏览量: 66
PDF下载量: 217
被引次数: 0

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.