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Reverse time migration of ground-penetrating radar with full wavefield decomposition based on the Hilbert transform
Zhong, Shichao1,2,3; Wang, Yibo1,2; Zheng, Yikang1,2; Chang, Xu1,2
2020-02-16
Source PublicationGEOPHYSICAL PROSPECTING
ISSN0016-8025
Pages16
AbstractThe conventional reverse time migration of ground-penetrating radar data is implemented with the two-way wave equation. The cross-correlation result contains low-frequency noise and false images caused by improper wave paths. To eliminate low-frequency noise and improve the quality of the migration image, we propose to separate the left-up-going, left-down-going, right-up-going and right-down-going wavefield components in the forward- and backward-propagated wavefields based on the Hilbert transform. By applying the reverse time migration of ground-penetrating radar data with full wavefield decomposition based on the Hilbert transform, we obtain the reverse time migration images of different wavefield components and combine correct imaging conditions to generate complete migration images. The proposed method is tested on the synthetic ground-penetrating radar data of a tilt-interface model and a complex model. The migration results show that the imaging condition of different wavefield components can highlight the desired structures. We further discuss the reasons for incomplete images by reverse time migration with partial wavefields. Compared with the conventional reverse time migration methods for ground-penetrating radar data, low-frequency noise can be eliminated in images generated by the reverse time migration method with full wavefield decomposition based on the Hilbert transform.
KeywordGround-penetrating radar Reverse time migration Wavefield separation
DOI10.1111/1365-2478.12905
Funding OrganizationKey research projects for Frontier Science of the Chinese Academy of Sciences ; Key research projects for Frontier Science of the Chinese Academy of Sciences ; National Basic Research Program (973 Program) ; National Basic Research Program (973 Program) ; Key research projects for Frontier Science of the Chinese Academy of Sciences ; Key research projects for Frontier Science of the Chinese Academy of Sciences ; National Basic Research Program (973 Program) ; National Basic Research Program (973 Program) ; Key research projects for Frontier Science of the Chinese Academy of Sciences ; Key research projects for Frontier Science of the Chinese Academy of Sciences ; National Basic Research Program (973 Program) ; National Basic Research Program (973 Program) ; Key research projects for Frontier Science of the Chinese Academy of Sciences ; Key research projects for Frontier Science of the Chinese Academy of Sciences ; National Basic Research Program (973 Program) ; National Basic Research Program (973 Program)
WOS KeywordGPR
Language英语
Funding ProjectKey research projects for Frontier Science of the Chinese Academy of Sciences[QYZDY-SSW-DQC009] ; National Basic Research Program (973 Program)[2015CB258500]
Funding OrganizationKey research projects for Frontier Science of the Chinese Academy of Sciences ; Key research projects for Frontier Science of the Chinese Academy of Sciences ; National Basic Research Program (973 Program) ; National Basic Research Program (973 Program) ; Key research projects for Frontier Science of the Chinese Academy of Sciences ; Key research projects for Frontier Science of the Chinese Academy of Sciences ; National Basic Research Program (973 Program) ; National Basic Research Program (973 Program) ; Key research projects for Frontier Science of the Chinese Academy of Sciences ; Key research projects for Frontier Science of the Chinese Academy of Sciences ; National Basic Research Program (973 Program) ; National Basic Research Program (973 Program) ; Key research projects for Frontier Science of the Chinese Academy of Sciences ; Key research projects for Frontier Science of the Chinese Academy of Sciences ; National Basic Research Program (973 Program) ; National Basic Research Program (973 Program)
WOS Research AreaGeochemistry & Geophysics
WOS SubjectGeochemistry & Geophysics
WOS IDWOS:000513530500001
PublisherWILEY
Citation statistics
Document Type期刊论文
Identifierhttp://ir.iggcas.ac.cn/handle/132A11/95658
Collection油气资源研究院重点实验室
Corresponding AuthorWang, Yibo
Affiliation1.Chinese Acad Sci, Key Lab Petr Resource Res, Beijing 100029, Peoples R China
2.Chinese Acad Sci, Innovat Acad Earth Sci, Beijing 100029, Peoples R China
3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
Recommended Citation
GB/T 7714
Zhong, Shichao,Wang, Yibo,Zheng, Yikang,et al. Reverse time migration of ground-penetrating radar with full wavefield decomposition based on the Hilbert transform[J]. GEOPHYSICAL PROSPECTING,2020:16.
APA Zhong, Shichao,Wang, Yibo,Zheng, Yikang,&Chang, Xu.(2020).Reverse time migration of ground-penetrating radar with full wavefield decomposition based on the Hilbert transform.GEOPHYSICAL PROSPECTING,16.
MLA Zhong, Shichao,et al."Reverse time migration of ground-penetrating radar with full wavefield decomposition based on the Hilbert transform".GEOPHYSICAL PROSPECTING (2020):16.
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