3-D Basement Relief and Density Inversion Based on EfficientNetV2 Deep Learning Network-Reference-Cited by-同舟云学术

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3-D Basement Relief and Density Inversion Based on EfficientNetV2 Deep Learning Network

Published:2024 Issue: Volume:62 Page:1-15
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Zhang Yu¹^ORCID,Xu Zhengwei²^ORCID,Xian Minghao¹^ORCID,Zhdanov Michael S.²^ORCID,Lai Changjie³,Wang Rui⁴^ORCID,Mao Lifeng¹^ORCID,Zhao Guangdong¹^ORCID

Affiliation:

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

2. Consortium for Electromagnetic Modeling and Inversion (CEMI), University of Utah, Salt Lake City, UT, USA

3. Engineering Geology Brigade of Jiangxi Bureau of Geology, Nanchang, China

4. School of Computer Science and Technology, Changchun University of Science and Technology, Changchun, China

Funder

Natural Science Foundation of Sichuan Province

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/36/10354519/10597585.pdf?arnumber=10597585

Reference61 articles.

1. Solutions of Ill-Posed Problems (A. N. Tikhonov and V. Y. Arsenin)

2. An Adaptive Regularized Solution to Inverse Ill-Posed Models

3. The Resolving Power of Gross Earth Data

4. Numerical Applications of a Formalism for Geophysical Inverse Problems

5. An Algorithm for Least-Squares Estimation of Nonlinear Parameters

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