IGGCAS OpenIR  > 矿产资源研究院重点实验室
A Simple and Robust Total Variation-Based Inversion Scheme for Transient Electromagnetic Data
Rao, Liting1; Gao, Jianshen1; Wu, Xin2,3,4; Wang, Youcheng5; Jia, Huiqin1
2020
Source PublicationIEEE ACCESS
ISSN2169-3536
Volume8Pages:16539-16549
AbstractTransient electromagnetic (TEM) data are conveniently inverted to visualized underground structure with the widely used Occam & x2019;s inversion. However, in sedimentary environments, Occam & x2019;s inversion performs poorly in reproducing the sharp boundaries as it produces smoothed results of subsurface geophysical properties. Here, we develop a simple and robust total variation (TV) based inversion scheme for TEM data to preserve sharp boundaries and improve the accuracy of recovered underground structure. To solve the standard L2-TV optimization problem, we propose a reconstructing minimization (RM) approach. The TV-based inversion scheme is divided into two phases. In Phase I the misfit is brought down to a desired level utilizing Occam & x2019;s inversion. In Phase II we utilize RM approach to implement TV regularization until the convergent result is achieved. Taking advantage of the excellent stability of Occam & x2019;s inversion, the TV-based inversion scheme has the characteristics of robustness to different initial models. The switch process between Occam & x2019;s inversion and the RM approach is rather simple to realize due to their similar solution forms. The synthetic and field data examples validate the efficiency and accuracy of the proposed TV-based inversion scheme. We further present a novel analysis based on reconstruction of stabilizer to illustrate the reason for their distinctive behaviors of TV-based inversion and Occam & x2019;s inversion.
KeywordReconstructing minimization approach sharp boundaries total variation transient electromagnetic inversion
DOI10.1109/ACCESS.2020.2963917
Funding OrganizationNational Natural Science Foundation of China ; National Natural Science Foundation of China ; Natural Science Basic Research Plan in Shaanxi Province of China ; Natural Science Basic Research Plan in Shaanxi Province of China ; Natural Science Foundation of Shaanxi Provincial Department of Education ; Natural Science Foundation of Shaanxi Provincial Department of Education ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Natural Science Basic Research Plan in Shaanxi Province of China ; Natural Science Basic Research Plan in Shaanxi Province of China ; Natural Science Foundation of Shaanxi Provincial Department of Education ; Natural Science Foundation of Shaanxi Provincial Department of Education ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Natural Science Basic Research Plan in Shaanxi Province of China ; Natural Science Basic Research Plan in Shaanxi Province of China ; Natural Science Foundation of Shaanxi Provincial Department of Education ; Natural Science Foundation of Shaanxi Provincial Department of Education ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Natural Science Basic Research Plan in Shaanxi Province of China ; Natural Science Basic Research Plan in Shaanxi Province of China ; Natural Science Foundation of Shaanxi Provincial Department of Education ; Natural Science Foundation of Shaanxi Provincial Department of Education
WOS KeywordALGORITHM
Language英语
Funding ProjectNational Natural Science Foundation of China[41804115] ; National Natural Science Foundation of China[61701465] ; Natural Science Basic Research Plan in Shaanxi Province of China[2018JQ4007] ; Natural Science Basic Research Plan in Shaanxi Province of China[2018JQ4008] ; Natural Science Basic Research Plan in Shaanxi Province of China[2019JZ-37] ; Natural Science Foundation of Shaanxi Provincial Department of Education[19JK0669]
Funding OrganizationNational Natural Science Foundation of China ; National Natural Science Foundation of China ; Natural Science Basic Research Plan in Shaanxi Province of China ; Natural Science Basic Research Plan in Shaanxi Province of China ; Natural Science Foundation of Shaanxi Provincial Department of Education ; Natural Science Foundation of Shaanxi Provincial Department of Education ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Natural Science Basic Research Plan in Shaanxi Province of China ; Natural Science Basic Research Plan in Shaanxi Province of China ; Natural Science Foundation of Shaanxi Provincial Department of Education ; Natural Science Foundation of Shaanxi Provincial Department of Education ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Natural Science Basic Research Plan in Shaanxi Province of China ; Natural Science Basic Research Plan in Shaanxi Province of China ; Natural Science Foundation of Shaanxi Provincial Department of Education ; Natural Science Foundation of Shaanxi Provincial Department of Education ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Natural Science Basic Research Plan in Shaanxi Province of China ; Natural Science Basic Research Plan in Shaanxi Province of China ; Natural Science Foundation of Shaanxi Provincial Department of Education ; Natural Science Foundation of Shaanxi Provincial Department of Education
WOS Research AreaComputer Science ; Engineering ; Telecommunications
WOS SubjectComputer Science, Information Systems ; Engineering, Electrical & Electronic ; Telecommunications
WOS IDWOS:000524753200002
PublisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Citation statistics
Document Type期刊论文
Identifierhttp://ir.iggcas.ac.cn/handle/132A11/95561
Collection矿产资源研究院重点实验室
Corresponding AuthorRao, Liting
Affiliation1.Xian Shiyou Univ, Sch Elect Engn, Xian 710065, Peoples R China
2.Chinese Acad Sci, Inst Geol & Geophys, Key Lab Mineral Resources, Beijing 100029, Peoples R China
3.Univ Chinese Acad Sci, Coll Earth & Planetary Sci, Beijing 100049, Peoples R China
4.Chinese Acad Sci, Inst Earth Sci, Beijing 100029, Peoples R China
5.Sci & Technol Complex Syst Control & Intelligent, Beijing 100074, Peoples R China
Recommended Citation
GB/T 7714
Rao, Liting,Gao, Jianshen,Wu, Xin,et al. A Simple and Robust Total Variation-Based Inversion Scheme for Transient Electromagnetic Data[J]. IEEE ACCESS,2020,8:16539-16549.
APA Rao, Liting,Gao, Jianshen,Wu, Xin,Wang, Youcheng,&Jia, Huiqin.(2020).A Simple and Robust Total Variation-Based Inversion Scheme for Transient Electromagnetic Data.IEEE ACCESS,8,16539-16549.
MLA Rao, Liting,et al."A Simple and Robust Total Variation-Based Inversion Scheme for Transient Electromagnetic Data".IEEE ACCESS 8(2020):16539-16549.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Rao, Liting]'s Articles
[Gao, Jianshen]'s Articles
[Wu, Xin]'s Articles
Baidu academic
Similar articles in Baidu academic
[Rao, Liting]'s Articles
[Gao, Jianshen]'s Articles
[Wu, Xin]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Rao, Liting]'s Articles
[Gao, Jianshen]'s Articles
[Wu, Xin]'s Articles
Terms of Use
No data!
Social Bookmark/Share
Add to CiteULike Add to Connotea Add to Del.icio.us Add to Digg Add to Reddit Add to Technorati
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.