An imaging technique is proposed for the retrieval of sparse dielectric targets buried in a lossy half-space. To achieve this goal, the contrast source formulation of the inverse problem is solved through a customized implementation of the multi-task (MT) Bayesian Compressive Sensing. Some preliminary results are shown in the in order to demonstrate the effectiveness of the proposed approach when solving time-harmonic subsurface prospecting problems in different noise conditions.
Physical-information exploitation in inverse scattering approaches for GPR survey / Tenuti, Lorenza; Salucci, Marco; Poli, Lorenzo; Oliveri, Giacomo; Massa, Andrea. - STAMPA. - (2015). (Intervento presentato al convegno (EUCAP 2015) tenutosi a Lisbon nel April 13-17, 2015).
Physical-information exploitation in inverse scattering approaches for GPR survey
Tenuti, Lorenza;Salucci, Marco;Poli, Lorenzo;Oliveri, Giacomo;Massa, Andrea
2015-01-01
Abstract
An imaging technique is proposed for the retrieval of sparse dielectric targets buried in a lossy half-space. To achieve this goal, the contrast source formulation of the inverse problem is solved through a customized implementation of the multi-task (MT) Bayesian Compressive Sensing. Some preliminary results are shown in the in order to demonstrate the effectiveness of the proposed approach when solving time-harmonic subsurface prospecting problems in different noise conditions.File | Dimensione | Formato | |
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Physical-information exploitation in inverse scattering approaches for GPR survey.pdf
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