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. - In: JOURNAL OF PHYSICS. CONFERENCE SERIES. - ISSN 1742-6588. - STAMPA. - 1131:(2018), pp. 1-7. [10.1088/1742-6596/1131/1/012006]
Processing GPR data with 2D Bayesian compressive sensing inverse scattering approaches
Rocca, P;Gottardi, G;Robol, F;
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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