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
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;
Conference_Titel :
Instrumentation and Measurement Technology Conference, 2004. IMTC 04. Proceedings of the 21st IEEE
Print_ISBN :
0-7803-8248-X
DOI :
10.1109/IMTC.2004.1351257
