In this work, the solution of the subsurface microwave imaging problem is addressed through innovative inverse scattering (IS) approaches. Towards this end, wide-band ground penetrating radar (GPR) measurements are processed by means of Bayesian Compressive Sensing (BCS)-based strategies integrated with frequency-hopping (FH) or multi-frequency (MF) inversion schemes. Thanks to the additional information provided by the frequency diversity of GPR data and the formulation of suitable sparseness-regularized methodologies faithful reconstructions are yielded under several operative conditions, as clearly indicated by selected numerical experiments.
Processing GPR data with 2D Bayesian compressive sensing inverse scattering approaches / Rocca, P.; Gottardi, G.; Bertolli, M.; Robol, F.; Moriyama, T.; Takenaka, T.. - STAMPA. - (2018), pp. 1-7. (Intervento presentato al convegno 8th International Conference on New Computational Methods for Inverse Problems (NCMIP 2018) tenutosi a Paris-Saclay nel 25th May, 2018).
Processing GPR data with 2D Bayesian compressive sensing inverse scattering approaches
P. Rocca;G. Gottardi;F. Robol;
2018-01-01
Abstract
In this work, the solution of the subsurface microwave imaging problem is addressed through innovative inverse scattering (IS) approaches. Towards this end, wide-band ground penetrating radar (GPR) measurements are processed by means of Bayesian Compressive Sensing (BCS)-based strategies integrated with frequency-hopping (FH) or multi-frequency (MF) inversion schemes. Thanks to the additional information provided by the frequency diversity of GPR data and the formulation of suitable sparseness-regularized methodologies faithful reconstructions are yielded under several operative conditions, as clearly indicated by selected numerical experiments.| File | Dimensione | Formato | |
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Processing GPR data with 2D Bayesian compressive sensing inverse scattering approaches.pdf
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