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

doi:10.1109/TGRS.2018.2882912

CORC > 地质与地球物理研究所 > 中国科学院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

	Adaptive Ground Clutter Reduction in Ground-Penetrating Radar Data Based on Principal Component Analysis
	Chen, Gaoxiang 1,2; Fu, Liyun 3,4; Chen, Kanfu 2; Boateng, Cyril D.1; Ge, Shuangcheng 5
刊名	IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
	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
DOI	10.1109/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.
资助项目	National Natural Science Foundation of China[41374146] ; National High Technology Research and Development Program (863 Program) of China[2013AA064202]
WOS关键词	PROCESSING TECHNIQUES ; GPR
WOS研究方向	Geochemistry & Geophysics ; Engineering ; Remote Sensing ; Imaging Science & Photographic Technology
语种	英语
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
WOS记录号	WOS:000470019800015
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
内容类型	期刊论文
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.