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一种改进的Goldstein InSAR干涉图滤波算法
引用本文:于晓歆,杨红磊,彭军还.一种改进的Goldstein InSAR干涉图滤波算法[J].武汉大学学报(信息科学版),2011,36(9):1051-1054.
作者姓名:于晓歆  杨红磊  彭军还
作者单位:1. 中国地质大学北京土地科学技术学院,北京市学院路29号,100083/重庆市勘测院,重庆市电测村231号,400020
2. 中国地质大学北京土地科学技术学院,北京市学院路29号,100083
基金项目:国家自然科学基金资助项目(NSFC-41074009)
摘    要:提出了一种抑制InSAR干涉图噪声并保持干涉图条纹细节的算法,该算法改进了Goldstein滤波的参数α,将干涉图的相位标准偏差函数模型作为参数。相位标准偏差是相位噪声的体现,以干涉图的相位噪声强弱来决定滤波的强弱,噪声强的局部区域强滤波,噪声弱的局部区域弱滤波。实验结果表明,此方法改善了滤波效果,增强了滤波的局部自适应性和条纹细节的保真性。

关 键 词:InSAR  干涉图  Goldstein滤波  相位噪声  局部自适应

A Modified Goldstein Algorithm for InSAR Interferogram Filtering
YU Xiaoxin, YANG Honglei PENG Junhuan.A Modified Goldstein Algorithm for InSAR Interferogram Filtering[J].Geomatics and Information Science of Wuhan University,2011,36(9):1051-1054.
Authors:YU Xiaoxin  YANG Honglei PENG Junhuan
Institution:YU Xiaoxin1,2 YANG Honglei1 PENG Junhuan1(1 School of Land Sciences and Technology,China University of Geosciences,29 Xueyuan Road,Beijing 100083,China)(2 Chongqing Surveying Institute,231 Diancecun,Chongqing 400020,China)
Abstract:An algorithm for filtering InSAR phase noise and preserving details of interferometric fringes is proposed,which improves Goldstein filtering parameter α and considers function of standard deviation of phase to be parameter.The standard deviation of phase shows phase noise effectively.According to degree of interferogram phase noise,the method can determine degree of filter strength.The modification can make the local area with strong noise strongly filtered,while those with week noise weekly filtered.Experimental results with both the simulated data sets and the real one show that the new method can improve filtering effect and enhance the local adaptability of the filter and fidelity details of interferometric fringes.
Keywords:InSAR  interferogram  Goldstein filter  phase noise  local adaptability  
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