Published June 1, 2024
| Version v1
Dataset
Open
A deep learning-based parameter inversion for improved Tunnel Electromagnetic Imaging
Authors/Creators
Description
Running FTEM_bacth_train.ipynb you can train the UNet frameworks, which transform three-component time-domain induced electromotive force data and three-component frequency-domain magnetic field data, into two mapping results. For details, please refer to the manuscript "A deep learning-based parameter inversion for improved Tunnel Electromagnetic Imaging"