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一种基于相对标准差的SAR图像Speckle滤波方法
引用本文:徐新,廖明生,卜方玲.一种基于相对标准差的SAR图像Speckle滤波方法[J].遥感学报,2000,4(3):214-218.
作者姓名:徐新  廖明生  卜方玲
作者单位:1. 武汉测绘科技大学,光电工程学院,湖北,武汉,430079
2. 测绘遥感信息工程国家重点实验室,武汉,430079
基金项目:国家自然科学基金!编号 :69782 0 0 1
摘    要:通过分析SAR影像的Speckle局部统计特性和现有的空间波波算法,提出了一种新的Speckle滤波该方法以局部部相对标准差为主要依据,采用特殊的滤波窗口邻域划分方法,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ERS-1/2SAR图像去Speckle处理,并与以入的典型算法进行了比较实验,取得了令人满意的结果。

关 键 词:相对标准差  遥感图像  SAR图像  Speckle滤波
收稿时间:1999/1/21 0:00:00
修稿时间:1999-01-21

An Adaptive Method for Speckle Filtering of SAR Image Based on Local Relative Standard Deviation
XU Xin,LIAO Ming-sheng and PU Fang-ling.An Adaptive Method for Speckle Filtering of SAR Image Based on Local Relative Standard Deviation[J].Journal of Remote Sensing,2000,4(3):214-218.
Authors:XU Xin  LIAO Ming-sheng and PU Fang-ling
Institution:Wuhan Technical University of Surveying and Mapping, Wuhan 430079, China;Wuhan Technical University of Surveying and Mapping, Wuhan 430079, China
Abstract:SAR images are subject to speckle effects which considerably reduce the detection of useful details within the scenes. Based on the analysis of the local speckle statistic characteristics of SAR image (such as relative standard deviation C u ) and algorithms of spatial filtering, an adaptive speckle filtering method is presented in this paper. Firstly, the special pixel neighborhood model is used in the selection of filtering windows, with which the filtering window is divided into 8 mutually exclusive sub windows and the central pixel is the only repetitions pixel in each sub window. Then, for every window to be filtered, the local relative standard deviation C i is calculated in all sub windows and used as the criteria to select the sub windows with C i
Keywords:SAR  speckle  adaptive filtering  relative standard deviation  effective number of looks
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