Published 2022
| Version v1
Publication
An LSTM based strategy for data and model calibration in subsurface electromagnetic imaging
Contributors
Description
Mismatch between measurements and model used
inside the inversion scheme represent a critical point in
subsurface electromagnetic imaging. In this paper, a timedomain strategy based on the use of long short-term memory
cells is proposed. The approach is assessed through a set of
simulations where a couple of antennas are used to acquire
scattered-field data in quasi-monostatic mode. A half-space
numerical environment is considered. The processed data are
then provided in input to a nonlinear multi-frequency inversion
algorithm operating in the context of nonconstant-exponent
Lebesgue spaces. Initial tests show promising outcomes.
Additional details
Identifiers
- URL
- https://hdl.handle.net/11567/1118299
- URN
- urn:oai:iris.unige.it:11567/1118299