Coordinate Attention-Temporal Convolutional Network for Magnetotelluric Data Processing-Reference-Cited by-同舟云学术

Coordinate Attention-Temporal Convolutional Network for Magnetotelluric Data Processing

Published:2024 Issue: Volume:62 Page:1-14
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Li Jin¹^ORCID,Cheng Hong¹^ORCID,Wang Jiayu¹,Zhang Xian²^ORCID,Tang Jingtian³

Affiliation:

1. College of Information Science and Engineering, Hunan Normal University, Changsha, China

2. School of Information Technology and Management, Hunan University of Finance and Economics, Changsha, China

3. Key Laboratory of Metallogenic Prediction of Nonferrous Metals and Geological Environment Monitoring, Ministry of Education, Central South University, Changsha, China

Funder

National Natural Science Foundation of China

National Key Research and Development Program of China

Natural Science Foundation of Hunan Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/36/10354519/10569043.pdf?arnumber=10569043

Reference38 articles.

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2. BASIC THEORY OF THE MAGNETO‐TELLURIC METHOD OF GEOPHYSICAL PROSPECTING

3. Modeling the crustal electrical structure of the Zhangye Basin via three-dimensional inversion of magnetotelluric data – Implications for future geothermal development

4. Rupture mechanism and seismotectonics of the M s 6.5 Ludian earthquake inferred from three‐dimensional magnetotelluric imaging

5. Mechanism for the Uplift of Gongga Shan in the Southeastern Tibetan Plateau Constrained by 3D Magnetotelluric Data