DocumentCode
1801337
Title
Detection of buried objects by an electromagnetic method based on a differential evolution approach
Author
Caorsi, S. ; Donelli, M. ; Massa, A. ; Pastorino, M. ; Randazzo, A.
Author_Institution
Dipt. di Elettronica, Pavia Univ., Italy
Volume
2
fYear
2004
fDate
18-20 May 2004
Firstpage
1107
Abstract
A method for reconstructing dielectric objects buried in a half space is proposed. The approach is based on the inverse scattering formulation. The Green´s function for the half space is used as the kernel of the integral equations relating the dielectric properties of the object to the samples of the scattered electric field. The inverse problem is recast as a global optimization problem by constructing a functional to be minimized. A differential evolution method is used to obtain a global minimum of this functional. The paper provides the mathematical formulation of the approach. Moreover, numerical results are reported.
Keywords
Green´s function methods; buried object detection; electromagnetic wave scattering; genetic algorithms; image reconstruction; integral equations; inverse problems; Green´s function; buried object detection; dielectric properties; differential evolution approach; electromagnetic method; genetic algorithms; global minimum; global optimization problem; half space buried dielectric object reconstruction; integral equations; inverse problem; inverse scattering formulation; scattered electric field samples; Buried object detection; Dielectrics; Electromagnetic scattering; Geometry; Image reconstruction; Integral equations; Inverse problems; Microwave imaging; Receiving antennas; Transmitting antennas;
fLanguage
English
Publisher
ieee
Conference_Titel
Instrumentation and Measurement Technology Conference, 2004. IMTC 04. Proceedings of the 21st IEEE
ISSN
1091-5281
Print_ISBN
0-7803-8248-X
Type
conf
DOI
10.1109/IMTC.2004.1351257
Filename
1351257
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