Title :
Two-dimensional microwave imaging approach based on a genetic algorithm
Author :
Caorsi, Salvatore ; Pastorino, Matteo
Author_Institution :
Dipt. di Elettronica, Pavia Univ., Italy
fDate :
3/1/2000 12:00:00 AM
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;
Journal_Title :
Antennas and Propagation, IEEE Transactions on
