This paper presents an innovative microwave imaging technique for detecting defects in dielectric or conductive media developed through the Bayesian Compressive Sensing theory. Thanks to the a-priori knowledge of the medium unaffected by defects, the inversion problem is formulated as the estimation of the sparse differential equivalent currents within the support of the defects. The strategy has been developed in a multi-task implementation in order to efficiently handle the information provided by the scattered data.

A compressive sensing approach to NDE/NDT / T., Moriyama; Poli, Lorenzo; Anselmi, Nicola; P. P., Ding; Oliveri, Giacomo. - (2014), p. 1. (Intervento presentato al convegno IEEE CAMA 2014 tenutosi a Antibes Juan-les-Pins, France nel 16th November - 19th November 2014) [10.1109/CAMA.2014.7003340].

A compressive sensing approach to NDE/NDT

Poli, Lorenzo;Anselmi, Nicola;P. P. Ding;Oliveri, Giacomo
2014-01-01

Abstract

This paper presents an innovative microwave imaging technique for detecting defects in dielectric or conductive media developed through the Bayesian Compressive Sensing theory. Thanks to the a-priori knowledge of the medium unaffected by defects, the inversion problem is formulated as the estimation of the sparse differential equivalent currents within the support of the defects. The strategy has been developed in a multi-task implementation in order to efficiently handle the information provided by the scattered data.
2014
Proc. 2014 IEEE Antenna Conference on Antenna Measurements and Applications
Antibes Juan-les-Pins, France
IEEE
T., Moriyama; Poli, Lorenzo; Anselmi, Nicola; P. P., Ding; Oliveri, Giacomo
A compressive sensing approach to NDE/NDT / T., Moriyama; Poli, Lorenzo; Anselmi, Nicola; P. P., Ding; Oliveri, Giacomo. - (2014), p. 1. (Intervento presentato al convegno IEEE CAMA 2014 tenutosi a Antibes Juan-les-Pins, France nel 16th November - 19th November 2014) [10.1109/CAMA.2014.7003340].
File in questo prodotto:
File Dimensione Formato  
A compressive sensing approach to NDE NDT.pdf

Solo gestori archivio

Tipologia: Versione editoriale (Publisher’s layout)
Licenza: Tutti i diritti riservati (All rights reserved)
Dimensione 292.96 kB
Formato Adobe PDF
292.96 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/11572/119679
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 1
  • ???jsp.display-item.citation.isi??? 0
  • OpenAlex ND
social impact