Three-Dimensional Magnetotelluric Forward Modeling Through Deep Learning-Reference-Cited by-同舟云学术

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Three-Dimensional Magnetotelluric Forward Modeling Through Deep Learning

Published:2024 Issue: Volume:62 Page:1-13
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Wang Xuben¹^ORCID,Jiang Peifan¹^ORCID,Deng Fei²^ORCID,Wang Shuang²^ORCID,Yang Rui¹^ORCID,Yuan Chongxin¹^ORCID

Affiliation:

1. Key Laboratory of Earth Exploration and Information Techniques of Ministry of Education, College of Geophysics, Chengdu University of Technology, Chengdu, China

2. College of Computer Science and Cyber Security, Chengdu University of Technology, Chengdu, China

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/36/10354519/10530923.pdf?arnumber=10530923

Reference44 articles.

1. 8. The Magnetotelluric Method

2. Electrically Conductive Crust in Southern Tibet from INDEPTH Magnetotelluric Surveying

3. Crustal deformation of the eastern Tibetan plateau revealed by magnetotelluric imaging

4. A review of geophysical methods for geothermal exploration

5. Imaging the heat source of the Kangding high-temperature geothermal system on the Xianshuihe fault by magnetotelluric survey

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