The tomographic algorithms commonly used to process ground penetrating radar (GPR) data assume the scattering phenomenon activated by ideal sources. This can be considered an adequately accurate assumption if the actual GPR antenna presents almost nondirectional features, but should instead properly revisited when a target is illuminated by means of more collimated near-field distributions. In this work, moving from the recent advancements done for two-dimensional scalar GPR imaging theory, we propose a three-dimensional (3-D) vector formulation of the scattering equation, modeling the incident field with the actual field radiated by a directional antenna. Both 3-D dielectric and metallic targets are reconstructed in challenging environments by considering multi-frequency data at microwaves. A comparative analysis is developed through the processing of numerical data by means of a singular-value decomposition as well as an adjoint-operator scheme. The effectiveness of these methods is assessed considering full-wave synthetic data generated on a customized virtual setup based on a commercial tool.

Three-dimensional advanced tomographic procedure for the imaging of metallic and dielectric targets through GPR data / Murgia, Federica; Comite, Davide; Catapano, Ilaria; Soldovieri, Francesco; Galli, Alessandro. - (2018), pp. 10-13. (Intervento presentato al convegno 15th European Radar Conference, EuRAD 2018 tenutosi a Madrid; Spain) [10.23919/EuRAD.2018.8546520].

Three-dimensional advanced tomographic procedure for the imaging of metallic and dielectric targets through GPR data

Murgia, Federica;Comite, Davide;Galli, Alessandro
2018

Abstract

The tomographic algorithms commonly used to process ground penetrating radar (GPR) data assume the scattering phenomenon activated by ideal sources. This can be considered an adequately accurate assumption if the actual GPR antenna presents almost nondirectional features, but should instead properly revisited when a target is illuminated by means of more collimated near-field distributions. In this work, moving from the recent advancements done for two-dimensional scalar GPR imaging theory, we propose a three-dimensional (3-D) vector formulation of the scattering equation, modeling the incident field with the actual field radiated by a directional antenna. Both 3-D dielectric and metallic targets are reconstructed in challenging environments by considering multi-frequency data at microwaves. A comparative analysis is developed through the processing of numerical data by means of a singular-value decomposition as well as an adjoint-operator scheme. The effectiveness of these methods is assessed considering full-wave synthetic data generated on a customized virtual setup based on a commercial tool.
2018
15th European Radar Conference, EuRAD 2018
3-D imaging; Ground Penetrating Radar; microwave tomography; Signal Processing; Safety, Risk, Reliability and Quality; Instrumentation
04 Pubblicazione in atti di convegno::04b Atto di convegno in volume
Three-dimensional advanced tomographic procedure for the imaging of metallic and dielectric targets through GPR data / Murgia, Federica; Comite, Davide; Catapano, Ilaria; Soldovieri, Francesco; Galli, Alessandro. - (2018), pp. 10-13. (Intervento presentato al convegno 15th European Radar Conference, EuRAD 2018 tenutosi a Madrid; Spain) [10.23919/EuRAD.2018.8546520].
File allegati a questo prodotto
File Dimensione Formato  
Murgia_post-print_Three-dimensional_2018.pdf

solo gestori archivio

Tipologia: Documento in Post-print (versione successiva alla peer review e accettata per la pubblicazione)
Licenza: Tutti i diritti riservati (All rights reserved)
Dimensione 398.29 kB
Formato Adobe PDF
398.29 kB Adobe PDF   Contatta l'autore

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/11573/1273656
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 1
  • ???jsp.display-item.citation.isi??? 1
social impact