Instantaneous Inversion of Airborne Electromagnetic Data Based on Deep Learning
Author:
Affiliation:
1. Department of Geophysics School of Earth and Space Sciences Peking University Beijing China
2. Hongshan National Geophysical Observatory Peking University Beijing China
Publisher
American Geophysical Union (AGU)
Subject
General Earth and Planetary Sciences,Geophysics
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1029/2021GL097165
Reference56 articles.
1. Advances in geophysics;Auken E.,2017
2. An overview of a highly versatile forward and stable inverse algorithm for airborne, ground-based and borehole electromagnetic and electric data
3. 1D Stochastic Inversion of Airborne Time-Domain Electromagnetic Data with Realistic Prior and Accounting for the Forward Modeling Error
4. (Quasi-)Real-Time Inversion of Airborne Time-Domain Electromagnetic Data via Artificial Neural Network
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