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].
Titolo: | A compressive sensing-based computational method for the inversion of wide-band ground penetrating radar data | |
Autori: | Gelmini, Angelo; Gottardi, Giorgio; Moriyama, Toshifumi | |
Autori Unitn: | ||
Titolo del volume contenente il saggio: | 7th International Conference on New Computational Methods for Inverse Problems | |
Luogo di edizione: | Bristol | |
Casa editrice: | IOP Science | |
Anno di pubblicazione: | 2017 | |
Codice identificativo Scopus: | 2-s2.0-85034422811 | |
Codice identificativo WOS: | WOS:000424087000002 | |
Handle: | http://hdl.handle.net/11572/188801 | |
Citazione: | 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]. | |
Appare nelle tipologie: | 04.1 Saggio in atti di convegno (Paper in Proceedings) |
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