Low-Frequency Magnetotelluric Data Denoising Using Improved Denoising Convolutional Neural Network and Gated Recurrent Unit-Reference-Cited by-同舟云学术

Low-Frequency Magnetotelluric Data Denoising Using Improved Denoising Convolutional Neural Network and Gated Recurrent Unit

Published:2024 Issue: Volume:62 Page:1-16
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Li Guang¹^ORCID,Gu Xianjie²^ORCID,Chen Chaojian³^ORCID,Zhou Cong²,Xiao Donghan²^ORCID,Wan Wei²^ORCID,Cai Hongzhu⁴^ORCID

Affiliation:

1. Nanchang Key Laboratory of Intelligent Sensing Technology and Instruments for Geological Hazards, East China University of Technology, Nanchang, China

2. School of Geophysical and Measurement-Control Technology, East China University of Technology, Nanchang, China

3. Department of Earth and Environmental Sciences, Ludwig-Maximilians University of Munich, Munich, Germany

4. State Key Laboratory of Geological Processes and Mineral Resources, China University of Geosciences, Wuhan, China

Funder

National Natural Science Foundation of China

Open Fund from the Hubei Subsurface Multi-Scale Imaging Key Laboratory

Natural Science Foundation of Jiangxi Province

German Research Foundation

Postgraduate Innovation Fund from the East China University of Technology

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/36/10354519/10463063.pdf?arnumber=10463063

Reference48 articles.

1. Mapping electrical structures in the southern Great Khingan Range, north-east China, through two-dimensional magnetotelluric sounding

2. Model-Based Synthetic Geoelectric Sampling for Magnetotelluric Inversion With Deep Neural Networks

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

4. Downward Continuation and Transformation of Total‐Field Magnetic Anomalies Into Magnetic Gradient Tensors Between Arbitrary Surfaces Using Multilayer Equivalent Sources

5. Electrical resistivity imaging of continental United States from three-dimensional inversion of EarthScope USArray magnetotelluric data

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