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基于多小波变换的GPR图象去噪方法研究
引用本文:邹海林,隋亚莉,徐俊艳,宁书年.基于多小波变换的GPR图象去噪方法研究[J].系统仿真学报,2005,17(4):855-858,862.
作者姓名:邹海林  隋亚莉  徐俊艳  宁书年
作者单位:1. 中国矿业大学机电与信息工程学院,北京,100083;鲁东大学计算机学院,烟台,264025
2. 山东工商学院,烟台,264005
3. 中国矿业大学机电与信息工程学院,北京,100083
基金项目:教育部博士基金资助(20030290003),山东省自然科学基金资助(Y2002G08)。
摘    要:探讨了多小波函数及其预处理方法对探地雷达(ground penetrating radar-GPR)图象去噪性能的影响,在Donoho D L和Johnstone IM提出的小波阈值去噪方法的基础上提出了一个改进的阈值函数,并对实际的GPR图象进行阈值化处理和对比分析,结果表明选取合适的预处理方法,采用DGHM和STT多小波对GPR图象去噪可获得比其他方法更好的效果。

关 键 词:多小波变换  探地雷达  图象去噪  预滤波  阈值函数
文章编号:1004-731X(2005)04-0855-04

Study on Methods of GPR Image De-noising Based on Multi-wavelets Transform
ZOU Hai-lin,SUI Ya-li,XU Jun-yan,NING Shu-nian.Study on Methods of GPR Image De-noising Based on Multi-wavelets Transform[J].Journal of System Simulation,2005,17(4):855-858,862.
Authors:ZOU Hai-lin  SUI Ya-li  XU Jun-yan  NING Shu-nian
Institution:ZOU Hai-lin1,SUI Ya-li3,XU Jun-yan3,NING Shu-nian1 2
Abstract:The influence on ground penetrating radar (GPR) image de-noising with the multi-wavelets pre-processing methods and multi-wavelet function is discussed and investigated. A novel thresholding function is presented based on the wavelet shrinkage put forward by Donoho D L and Johnstone I M, and the processing by using an improved thresholding function is analyzed and compared. The results of simulation experiment indicate that the de-noising effect of GPR image with DGHM and STT multi-wavelets based on proper pre-processing methods is better than those traditional methods.
Keywords:multi-wavelet transform  ground penetrating radar (GPR)  image de-noising  pre-filter  thresholding function
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