This work presents an innovative computational approach for the inversion of wideband ground penetrating radar (GPR) data. The retrieval of the dielectric characteristics of sparse scatterers buried in a lossy soil is performed by combining a multi-task Bayesian compressive sensing (MT-BCS) solver and a frequency hopping (FH) strategy. The developed methodology is able to benefit from the regularization capabilities of the MT-BCS as well as to exploit the multi-chromatic informative content of GPR measurements. A set of numerical results is reported in order to assess the effectiveness of the proposed GPR inverse scattering technique, as well as to compare it to a simpler single-task implementation.

A compressive sensing-based computational method for the inversion of wide-band ground penetrating radar data / Gelmini, Angelo; Gottardi, Giorgio; Moriyama, Toshifumi. - STAMPA. - (2017). ((Intervento presentato al convegno NCMIP 2017 tenutosi a Paris-Saclay nel 12th May 2017 [10.1088/1742-6596/904/1/012002].

A compressive sensing-based computational method for the inversion of wide-band ground penetrating radar data

Gelmini, Angelo;Gottardi, Giorgio;
2017-01-01

Abstract

This work presents an innovative computational approach for the inversion of wideband ground penetrating radar (GPR) data. The retrieval of the dielectric characteristics of sparse scatterers buried in a lossy soil is performed by combining a multi-task Bayesian compressive sensing (MT-BCS) solver and a frequency hopping (FH) strategy. The developed methodology is able to benefit from the regularization capabilities of the MT-BCS as well as to exploit the multi-chromatic informative content of GPR measurements. A set of numerical results is reported in order to assess the effectiveness of the proposed GPR inverse scattering technique, as well as to compare it to a simpler single-task implementation.
7th International Conference on New Computational Methods for Inverse Problems
Bristol
IOP Science
Gelmini, Angelo; Gottardi, Giorgio; Moriyama, Toshifumi
A compressive sensing-based computational method for the inversion of wide-band ground penetrating radar data / Gelmini, Angelo; Gottardi, Giorgio; Moriyama, Toshifumi. - STAMPA. - (2017). ((Intervento presentato al convegno NCMIP 2017 tenutosi a Paris-Saclay nel 12th May 2017 [10.1088/1742-6596/904/1/012002].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11572/188801
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