Joint Gravity and Magnetic Inversion Using CNNs’ Deep Learning

Joint Gravity and Magnetic Inversion Using CNNs’ Deep Learning

Enhancing the reliability of inversion results has always been a prominent issue in the field of geophysics. In recent years, data-driven inversion methods leveraging deep neural networks (DNNs) have gained prominence for their ability to address non-uniqueness issues and reduce computational costs...

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Bibliographic Details
Main Authors: Zhijing Bai, Yanfei Wang, Chenzhang Wang, Caixia Yu, Dmitry Lukyanenko, Inna Stepanova, Anatoly G. Yagola
Format: Article
Language:English
Published: MDPI AG 2024-03-01
Series:Remote Sensing
Subjects:
joint inversion
gravity
magnetism
convolutional neural networks
deep learning
Online Access:https://www.mdpi.com/2072-4292/16/7/1115

Internet

https://www.mdpi.com/2072-4292/16/7/1115

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