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用小波变换和中值滤波研究差分干涉图的去噪
引用本文:余景波,刘国林,王建波,葛振坦.用小波变换和中值滤波研究差分干涉图的去噪[J].全球定位系统,2011,36(2):29-35.
作者姓名:余景波  刘国林  王建波  葛振坦
作者单位:1. 山东科技大学,测绘科学与工程学院,山东,青岛,266510,海岛,礁,测绘技术国家测绘局重点实验室,山东,青岛,266510
2. 山东科技大学,测绘科学与工程学院,山东,青岛,266510
基金项目:海岛(礁)测绘技术国家测绘局重点实验室资助项目(2010A01)
摘    要:介绍了小波变换的基本原理和图像去噪常见的滤波方法,采用几种常见滤波分别对模拟差分干涉图和EVISAT卫星获取的矿区真实合成孔径雷达(ASAR)数据的差分干涉图分别进行滤波去噪处理,并对其去噪效果进行分析。采用小波变换和中值滤波相结合的方法对矿区真实ASAR数据差分干涉图进行去噪处理,并对先中值滤波再小波变换和先小波变换再中值滤波两种方式去噪结果分别进行了分析比较,结果表明:先小波变换再中值滤波去噪后,图像保真效果较好。

关 键 词:小波变换  中值滤波  模拟干涉图  ENVISAT卫星  矿区真实ASAR数据差分干涉图  去噪

A Study on the Differential Interogram by Wavelet Transform and Median Filtering
YU Jing-bo,LIU GUO-lin,WANG Jian-bo,GE Zhen-tan.A Study on the Differential Interogram by Wavelet Transform and Median Filtering[J].Gnss World of China,2011,36(2):29-35.
Authors:YU Jing-bo  LIU GUO-lin  WANG Jian-bo  GE Zhen-tan
Institution:YU Jing-bo1,2,LIU GUO-lin1,WANG Jian-bo1,GE Zhen-tan1,2(1.Geomatics College,Shandong University of Science and Technology,QingdaoShandong 266510,China,2.Key Laboratory of Surveying and Mapping Technology on Island and Reef,State Bureau of Surveying and Mapping,Qingdao Shandong 266510,China)
Abstract:The basic principles of wavelet transform and the methods of image denoising filter were introduced.Their effects of denoising were compared after several common filtering denoising the simulated Gaussian surfaces and the real mining ASAR data from ENVISAT satellite differential interferograms.Finally,the wave transform and median filtering effect was better by the combination of wavelet transform and median filtering denoising the mining ASAR data differential interferograms.
Keywords:Wavelet transform  median filter  simulated Gaussian surface  ENVISAT satellite  the mining real ASAR data differential interferograms  denoise  
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