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Adaptive Ground Clutter Reduction in Ground-Penetrating Radar Data Based on Principal Component Analysis

文献类型：期刊论文

作者Chen, Gaoxiang1,2; Fu, Liyun3,4; Chen, Kanfu2; Boateng, Cyril D.1; Ge, Shuangcheng5
刊名IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
出版日期2019-06-01
卷号57期号:6页码:3271-3282
关键词Clutter reduction ground-penetrating radar (GPR) signal enhancement singular value decomposition (SVD)
ISSN号0196-2892
DOI10.1109/TGRS.2018.2882912
英文摘要Singular value decomposition is an effective way to remove ground clutter in ground-penetrating radar (GPR) applications. The main limitation of this method is the selection of principal components to completely reconstruct the ground clutter or the target. To date, no effective criteria or technology have been developed. To solve this problem, a new method is proposed in this paper. The research and analysis presented herein reveal that the root-mean-square height (RMSH) of the first-arrival curve corresponding to the ground clutter has a well-defined positive relationship with the number of singular values associated with the principal components of the ground clutter. The number of singular values of these principal components (N) can be precisely determined based on the ground clutter by a linear function, N = 0.2634D + 1.3086, where D represents the RMSH value. In addition, an algorithm called developed histogram equalization was developed to improve the contrast to highlight the targets in denoized GPR data sets. The proposed strategy of extracting the principal components of the ground clutter and highlighting the contrast between the target signal and environmental reflections was successfully applied to the field GPR data, thus demonstrating the practicality and validity of the proposed approach.
WOS关键词PROCESSING TECHNIQUES ; GPR
资助项目National Natural Science Foundation of China[41374146] ; National High Technology Research and Development Program (863 Program) of China[2013AA064202]
WOS研究方向Geochemistry & Geophysics ; Engineering ; Remote Sensing ; Imaging Science & Photographic Technology
语种英语
WOS记录号WOS:000470019800015
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
资助机构National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National High Technology Research and Development Program (863 Program) of China ; National High Technology Research and Development Program (863 Program) of China ; National High Technology Research and Development Program (863 Program) of China ; National High Technology Research and Development Program (863 Program) of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National High Technology Research and Development Program (863 Program) of China ; National High Technology Research and Development Program (863 Program) of China ; National High Technology Research and Development Program (863 Program) of China ; National High Technology Research and Development Program (863 Program) of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National High Technology Research and Development Program (863 Program) of China ; National High Technology Research and Development Program (863 Program) of China ; National High Technology Research and Development Program (863 Program) of China ; National High Technology Research and Development Program (863 Program) of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National High Technology Research and Development Program (863 Program) of China ; National High Technology Research and Development Program (863 Program) of China ; National High Technology Research and Development Program (863 Program) of China ; National High Technology Research and Development Program (863 Program) of China
源URL[http://ir.iggcas.ac.cn/handle/132A11/92255]  
专题地质与地球物理研究所_中国科学院油气资源研究重点实验室
通讯作者Chen, Gaoxiang
作者单位1.Chinese Acad Sci, Inst Geol & Geophys, Key Lab Petr Resource Res, Beijing 100029, Peoples R China
2.Zhejiang Prov Inst Commun Planning Design & Res, Hangzhou 310000, Zhejiang, Peoples R China
3.China Univ Petr East China, Sch Geosci, Qingdao 266580, Shandong, Peoples R China
4.Chinese Acad Sci, Inst Geol & Geophys, Beijing 100029, Peoples R China
5.Zhejiang Univ Water Resources & Elect Power, Hangzhou, Zhejiang, Peoples R China
推荐引用方式
GB/T 7714		 Chen, Gaoxiang,Fu, Liyun,Chen, Kanfu,et al. Adaptive Ground Clutter Reduction in Ground-Penetrating Radar Data Based on Principal Component Analysis[J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,2019,57(6):3271-3282.
APA Chen, Gaoxiang,Fu, Liyun,Chen, Kanfu,Boateng, Cyril D.,&Ge, Shuangcheng.(2019).Adaptive Ground Clutter Reduction in Ground-Penetrating Radar Data Based on Principal Component Analysis.IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,57(6),3271-3282.
MLA Chen, Gaoxiang,et al."Adaptive Ground Clutter Reduction in Ground-Penetrating Radar Data Based on Principal Component Analysis".IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 57.6(2019):3271-3282.

入库方式： OAI收割

来源：地质与地球物理研究所

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