首页 | 本学科首页   官方微博 | 高级检索  
     检索      

一种基于小波相位分析的InSAR干涉图滤波算法
引用本文:蔡国林,LIU Guo-xiang,李永树.一种基于小波相位分析的InSAR干涉图滤波算法[J].测绘学报,2008,37(3):0-402.
作者姓名:蔡国林  LIU Guo-xiang  李永树
作者单位:西南交通大学,土木工程学院,测量工程系,四川,成都,610031
摘    要:为了提高InSAR干涉图的滤波质量,本文在考虑干涉信号在同一尺度内具有相关性的基础上,提出并实现了一种基于小波相位分析的干涉图滤波算法.为检验算法的有效性,选取美国Phoenix地区高信噪比和伊朗Bam地区低信噪比两个真实C波段干涉图进行了滤波实验,通过与中值滤波算法、小波-中值滤波算法比较,证实了小波相位滤波算法是有效的且具有一定的优势.研究表明,不论是高信噪比干涉图还是低信噪比干涉图,小波相位滤波算法都能有效抑制其噪声.

关 键 词:合成孔径雷达干涉测量  干涉图  小波相位滤波  相位导数标准偏差

An Algorithm of Filtering InSAR Interferogram Based on Wavelet Phase Analysis
CAI Guo-lin,LIU Guo-xiang,LI Yong-shu.An Algorithm of Filtering InSAR Interferogram Based on Wavelet Phase Analysis[J].Acta Geodaetica et Cartographica Sinica,2008,37(3):0-402.
Authors:CAI Guo-lin  LIU Guo-xiang  LI Yong-shu
Abstract:In order to enhance the quality in filtering InSAR interferograms,this paper proposes a wavelet-phase filter(WPF) which is based on wavelet phase analysis and takes into account the correlation of interferometric signal on the same scale.The experiments are then carried out to validate the algorithm by filtering two C-band interferograms,i.e.,high signal-to-noise ratio(SNR) interferogram over Phoenix,USA and low-SNR interferogram over Bam,Iran.In comparison with the two existing filters,i.e.,median filter and wavelet-median filter,WPF proves to be more effective and advantageous to some extent.The testing results show that WPF can successfully suppress noises not only to high-SNR interferograms,but also to low-SNR interferograms.
Keywords:InSAR  interferogram  wavelet-phase filter  phase-derivative standard deviation
本文献已被 CNKI 维普 万方数据 等数据库收录!
点击此处可从《测绘学报》浏览原始摘要信息
点击此处可从《测绘学报》下载免费的PDF全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号