This work deals with the retrieval of the electromagnetic (EM) properties of buried domains starting from wide-band ground penetrating radar (GPR) measurements. The GPR inverse scattering (IS) problem is formulated within the contrast source framework and solved through an innovative multi-task Bayesian compressive sensing (MT-BCS)-based approach. More precisely, the developed methodology integrates a customized MT-BCS solver inside a frequency-hopping (FH) inversion strategy. Thanks to a novel "constrained" relevance vector machine (C-RVM) algorithm, progressively acquired information about the solution through the cascaded processing of different frequency components can be effectively exploited. Some numerical results are shown in order to assess the effectiveness of the proposed FH-MT-BCS method, as well as to compare it against a single-task (FH-STBCS) implementation not exploiting the correlation among different illuminations.

Exploitation of Frequency Diversity in GPR Imaging through an Innovative Constrained-BCS Method / Salucci, M.; Gelmini, A.; Oliveri, G.; Massa, A.. - STAMPA. - 741:(2018), pp. 1-4. (Intervento presentato al convegno EuCAP 2018 tenutosi a London, UK nel 9th-13th April 2018) [10.1049/cp.2018.1365].

Exploitation of Frequency Diversity in GPR Imaging through an Innovative Constrained-BCS Method

Salucci, M.;Gelmini, A.;Oliveri, G.;Massa, A.
2018-01-01

Abstract

This work deals with the retrieval of the electromagnetic (EM) properties of buried domains starting from wide-band ground penetrating radar (GPR) measurements. The GPR inverse scattering (IS) problem is formulated within the contrast source framework and solved through an innovative multi-task Bayesian compressive sensing (MT-BCS)-based approach. More precisely, the developed methodology integrates a customized MT-BCS solver inside a frequency-hopping (FH) inversion strategy. Thanks to a novel "constrained" relevance vector machine (C-RVM) algorithm, progressively acquired information about the solution through the cascaded processing of different frequency components can be effectively exploited. Some numerical results are shown in order to assess the effectiveness of the proposed FH-MT-BCS method, as well as to compare it against a single-task (FH-STBCS) implementation not exploiting the correlation among different illuminations.
2018
12th European Conference on Antennas and Propagation (EuCAP 2018)
Stevenage
IET
978-1-78561-816-1
978-1-5108-7850-1
Salucci, M.; Gelmini, A.; Oliveri, G.; Massa, A.
Exploitation of Frequency Diversity in GPR Imaging through an Innovative Constrained-BCS Method / Salucci, M.; Gelmini, A.; Oliveri, G.; Massa, A.. - STAMPA. - 741:(2018), pp. 1-4. (Intervento presentato al convegno EuCAP 2018 tenutosi a London, UK nel 9th-13th April 2018) [10.1049/cp.2018.1365].
File in questo prodotto:
File Dimensione Formato  
08671667.pdf

Solo gestori archivio

Tipologia: Versione editoriale (Publisher’s layout)
Licenza: Tutti i diritti riservati (All rights reserved)
Dimensione 340.18 kB
Formato Adobe PDF
340.18 kB Adobe PDF   Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11572/233184
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 0
  • ???jsp.display-item.citation.isi??? ND
social impact