Reconstruction of Metallic Inclusions Inside Dielectric Targets by Means of a Microwave Tomographic System

Author

Maffongelli, M. ; Monleone, R. ; Pastorino, M. ; Poretti, S. ; Randazzo, A. ; Salvadè, A.

Author_Institution

Dept. of Technol. & Innovation, Univ. of Appl. Sci. of Southern Switzerland, Manno, Switzerland

Volume

22

Issue

7

fYear

2012

fDate

7/1/2012 12:00:00 AM

Firstpage

378

Lastpage

380

Abstract

Experimental results concerning the inspection at microwave frequencies of wood material with metallic inclusions are reported. They have been obtained by inverting samples of the scattered electromagnetic field collected by a prototype of an imaging system. The system is able to acquire multi-illumination multiview data in a tomographic arrangement. The retrieved maps of the dielectric permittivity and electric conductivity of the cross sections of unknown targets are obtained by applying the distorted-wave Born approximation to the electric field integral equation governing the scattering phenomenon.

Keywords

approximation theory; computerised tomography; data acquisition; electric field integral equations; electrical conductivity; electromagnetic wave scattering; flaw detection; inclusions; microwave detectors; microwave imaging; permittivity; wood; dielectric permittivity; dielectric targets; distorted-wave Born approximation; electric conductivity; electric field integral equation; imaging system; inspection; metallic inclusion reconstruction; microwave sensors; microwave tomographic system; multiillumination multiview data; scattered electromagnetic field; wood material; Dielectrics; Image reconstruction; Materials; Microwave imaging; Microwave theory and techniques; Permittivity; Microwave imaging; microwave sensors; nondestructive testing; tomography; wood industry;

fLanguage

English

Journal_Title

Microwave and Wireless Components Letters, IEEE

Publisher

ieee

ISSN

1531-1309

Type

jour

DOI

10.1109/LMWC.2012.2203115

Filename

6216458