DocumentCode
1333621
Title
Two-dimensional microwave imaging approach based on a genetic algorithm
Author
Caorsi, Salvatore ; Pastorino, Matteo
Author_Institution
Dipt. di Elettronica, Pavia Univ., Italy
Volume
48
Issue
3
fYear
2000
fDate
3/1/2000 12:00:00 AM
Firstpage
370
Lastpage
373
Abstract
A multi-illumination multiview approach to microwave imaging is proposed, which is based on a genetic algorithm (GA). The inverse problem is recast in an optimization problem, solved in the framework of the Born approximation. The formulation of the approach is described and images of reconstructed circular (multilayer) cylinders are reported
Keywords
approximation theory; genetic algorithms; image reconstruction; inverse problems; microwave imaging; 2D microwave imaging; Born approximation; circular cylinders; genetic algorithm; image reconstruction; inverse problem; multi-illumination multiview approach; multilayer cylinders; optimization problem; Approximation methods; Concurrent computing; Dielectrics; Genetic algorithms; Image reconstruction; Inverse problems; Microwave imaging; Scattering; Stochastic processes; Testing;
fLanguage
English
Journal_Title
Antennas and Propagation, IEEE Transactions on
Publisher
ieee
ISSN
0018-926X
Type
jour
DOI
10.1109/8.841897
Filename
841897
Link To Document