Multitype Geomagnetic Noise Removal via an Improved U-Net Deep Learning Network-Reference-Cited by-同舟云学术

Multitype Geomagnetic Noise Removal via an Improved U-Net Deep Learning Network

Published:2023 Issue: Volume:61 Page:1-12
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,Zhou Xiaohui²,Chen Chaojian³^ORCID,Xu Linan⁴,Zhou Feng²,Shi Fusheng²,Tang Jingtian⁵

Affiliation:

1. Jiangxi Engineering Technology Research Center of Nuclear Geoscience Data Science and System, 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 Maximilian University of Munich, Munich, Germany

4. Institute of Earth Sciences, University of Lausanne, Lausanne, Switzerland

5. 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

China Postdoctoral Science Foundation

Open Fund from Jiangxi Engineering Technology Research Center of Nuclear Geoscience Data Science and System

Open Fund from the Badong National Observation and Research Station of Geohazards

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/36/10006360/10226346.pdf?arnumber=10226346

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5. A New Method for Accurate and Efficient Modeling of the Local Ocean Induction Effects. Application to Long‐Period Responses from Island Geomagnetic Observatories

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