• Corpus ID: 248798885

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

@inproceedings{Deleersnyder2022FlexibleQI,
  title={Flexible quasi-2D inversion of time-domain AEM data, using a wavelet-based complexity measure},
  author={Wouter Deleersnyder and Benjamin Maveau and David Dudal and Thomas Hermans},
  year={2022}
}
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 contribution, we propose a multidimensional, scale-dependent wavelet-based (cid:96) 1 -regularization term to cure the ill-posedness of the airborne (time-domain) electromagnetic induction inverse problem. The regularization term is flexible, as it can recover blocky, smooth and tunable in-between inversion models, based… 

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