A multidimensional AI-trained correction to the 1D approximate model for Airborne TDEM sensing-Reference-Cited by-同舟云学术

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A multidimensional AI-trained correction to the 1D approximate model for Airborne TDEM sensing

Published:2024-06 Issue: Volume:188 Page:105602
ISSN:0098-3004
Container-title:Computers & Geosciences
language:en
Short-container-title:Computers & Geosciences

Author:

Deleersnyder Wouter^ORCID,Dudal David,Hermans Thomas

Funder

KU Leuven

FWO

Publisher

Elsevier BV

Reference55 articles.

1. A gauged finite-element potential formulation for accurate inductive and galvanic modelling of 3-D electromagnetic problems;Ansari;Geophys. J. Int.,2017

2. Integrating neural networks in least-squares inversion of airborne time-domain electromagnetic data;Asif;Geophysics,2022

3. A review of airborne electromagnetic methods with focus on geotechnical and hydrological applications from 2007 to 2017;Auken;Adv. Geophys.,2017

4. (quasi-) real-time inversion of airborne time-domain electromagnetic data via artificial neural network;Bai;Remote Sens.,2020

5. Machine learning based fast forward modelling of ground-based time-domain electromagnetic data;Bording;J. Appl. Geophys.,2021

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