Title :
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
fDate :
7/1/2012 12:00:00 AM
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;
Journal_Title :
Microwave and Wireless Components Letters, IEEE
DOI :
10.1109/LMWC.2012.2203115
