Deep-TEMNet: A Hybrid U-Net–2D LSTM Network for Efficient and Accurate 2.5D Transient Electromagnetic Forward Modeling

Deep-TEMNet: A Hybrid U-Net–2D LSTM Network for Efficient and Accurate 2.5D Transient Electromagnetic Forward Modeling

The transient electromagnetic (TEM) method is a crucial tool for subsurface exploration, providing essential insights into the electrical resistivity structures beneath the Earth’s surface. Traditional forward modeling approaches, such as the finite-difference time-domain (FDTD) method and the finit...

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Bibliographic Details
Main Authors: Zhijie Qu, Yuan Gao, Kang Xing, Xiaojuan Zhang
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Remote Sensing
Subjects:
transient electromagnetic
forward model
finite-element method (FEM)
U-Net
2D LSTM
Online Access:https://www.mdpi.com/2072-4292/17/2/264
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