A microwave inverse scattering technique for image reconstruction based on a genetic algorithm

Author

Pastorino, Matteo ; Massa, Andrea ; Caorsi, Salvatore

Author_Institution

Dept. of Biophys. & Electron. Eng., Genoa Univ., Italy

Volume

49

Issue

3

fYear

2000

fDate

6/1/2000 12:00:00 AM

Firstpage

573

Lastpage

578

Abstract

The problem of reconstructing locations, shapes, and dielectric permittivity distributions of two-dimensional dielectric objects from measurements of the scattered electric field is addressed. A numerical approach is proposed which is based on a multi-illumination multiview processing. In particular, the inverse problem is recast as a global nonlinear optimization problem, which is solved by a genetic algorithm. The final objective of the approach is the image reconstruction of highly contrasted bodies

Keywords

computerised tomography; dielectric bodies; electromagnetic wave scattering; genetic algorithms; image reconstruction; inverse problems; microwave imaging; permittivity measurement; 2D dielectric objects; effective algorithms; genetic algorithm; global nonlinear optimization problem; highly contrasted bodies; image reconstruction; inverse problem; iterative procedure; location distributions; microwave imaging; microwave inverse scattering technique; microwave tomography; multi-illumination multi-view processing; permittivity distributions; scattered electric field; shape distributions; Biomedical measurements; Dielectric measurements; Electromagnetic scattering; Genetic algorithms; Geophysical measurements; Image reconstruction; Inverse problems; Microwave imaging; Microwave theory and techniques; Shape measurement;

fLanguage

English

Journal_Title

Instrumentation and Measurement, IEEE Transactions on

Publisher

ieee

ISSN

0018-9456

Type

jour

DOI

10.1109/19.850397

Filename

850397