An innovative ground penetrating radar (GPR) inverse scattering (IS) methodology for imaging sparse buried objects is proposed. The developed methodology integrates a customized Bayesian compressive sensing (BCS) solver within a frequency hopping (FH) strategy in order to (i) regularize the IS problem by enforcing sparsity priors on the unknown scatterers as well as to (ii) exploit the multi-chromatic informative content of GPR data. A preliminary numerical benchmark is shown to preliminarily assess the effectiveness of the proposed FH-BCS technique in providing robust and accurate subsurface images.

Frequency-hopping GPR prospecting of sparse scatterers through Bayesian compressive sensing / Salucci, Marco; Tenuti, Lorenza; Oliveri, Giacomo; Massa, Andrea. - STAMPA. - (2017), pp. 1-2. ((Intervento presentato al convegno ACES 2017 tenutosi a Firenze nel 26th-30nd March 2017 [10.23919/ROPACES.2017.7916390].

Frequency-hopping GPR prospecting of sparse scatterers through Bayesian compressive sensing

Salucci Marco;Tenuti Lorenza;Oliveri Giacomo;Massa Andrea
2017

Abstract

An innovative ground penetrating radar (GPR) inverse scattering (IS) methodology for imaging sparse buried objects is proposed. The developed methodology integrates a customized Bayesian compressive sensing (BCS) solver within a frequency hopping (FH) strategy in order to (i) regularize the IS problem by enforcing sparsity priors on the unknown scatterers as well as to (ii) exploit the multi-chromatic informative content of GPR data. A preliminary numerical benchmark is shown to preliminarily assess the effectiveness of the proposed FH-BCS technique in providing robust and accurate subsurface images.
2017 International Applied Computational Electromagnetics Society Symposium - Italy (ACES)
Piscataway, NJ
IEEE
978-0-9960078-3-2
Salucci, Marco; Tenuti, Lorenza; Oliveri, Giacomo; Massa, Andrea
Frequency-hopping GPR prospecting of sparse scatterers through Bayesian compressive sensing / Salucci, Marco; Tenuti, Lorenza; Oliveri, Giacomo; Massa, Andrea. - STAMPA. - (2017), pp. 1-2. ((Intervento presentato al convegno ACES 2017 tenutosi a Firenze nel 26th-30nd March 2017 [10.23919/ROPACES.2017.7916390].
File in questo prodotto:
File Dimensione Formato  
Microsoft Word - Final.Abstract.ELEDIA.ACES-2017.GPR-Imaging-FH-BCS.pdf

Solo gestori archivio

Tipologia: Versione editoriale (Publisher’s layout)
Licenza: Tutti i diritti riservati (All rights reserved)
Dimensione 252.05 kB
Formato Adobe PDF
252.05 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: http://hdl.handle.net/11572/188242
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 0
  • ???jsp.display-item.citation.isi??? 0
social impact