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20202025
most citedFlexible quasi-2D inversion of time-domain AEM data, using a wavelet-based complexity measure

22 citations · 53 across the 8 of their papers we have counts for

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7 papers · 1 filter

physics.geo-ph2025

Uncertainty Quantification of the Fresh-Saltwater Interface from Time-Domain Electromagnetic Data

Arsalan Ahmed, Thomas Hermans, David Dudal +1

Geophysical methods provide a cost-effective way to characterize the subsurface for hydrogeological projects, but they rely on solving an inverse problem. Traditionally, determinis…

physics.geo-ph2024

Quantitative imaging of the fresh/saltwater interface with airborne electromagnetics: examining different sources of uncertainty

Wouter Deleersnyder, David Dudal, Thomas Hermans

Knowing the distribution between fresh and saline groundwater is imperative for sustainable and integrated management of water resources in coastal areas. The airborne electromagne…

physics.geo-ph2023★ 8 cited

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

Wouter Deleersnyder, David Dudal, Thomas Hermans

The computational resources required to solve the full 3D inversion of time-domain electromagnetic data are immense. To overcome the time-consuming 3D simulations, we construct a s…

physics.geo-ph2022

Determining the optimal focusing parameter in sparse promoting inversions of EMI surveys

Wouter Deleersnyder, David Dudal, Benjamin Maveau +1

If the magnetic field caused by a magnetic dipole is measured, the electrical conductivity of the subsurface can be determined by solving the inverse problem. For this problem, a f…

physics.geo-ph2022★ 10 cited

Novel Airborne EM Image Appraisal Tool for Imperfect Forward Modelling

Wouter Deleersnyder, David Dudal, Thomas Hermans

Full 3D inversion of time-domain Airborne ElectroMagnetic (AEM) data requires specialists' expertise and a tremendous amount of computational resources, not readily available to ev…

physics.geo-ph2022★ 22 cited

Flexible quasi-2D inversion of time-domain AEM data, using a wavelet-based complexity measure

Wouter Deleersnyder, Benjamin Maveau, David Dudal +1

Regularization methods improve the stability of ill-posed inverse problems by introducing some a priori characteristics for the solution such as smoothness or sharpness. In this co…

physics.geo-ph2020★ 13 cited

Inversion of electromagnetic induction data using a novel wavelet-based and scale-dependent regularization term

Wouter Deleersnyder, Benjamin Maveau, Thomas Hermans +1

The inversion of electromagnetic induction data to a conductivity profile is an ill-posed problem. Regularization improves the stability of the inversion and, based on Occam's razo…