An integrated stochastic multi-scaling strategy for microwave imaging applications

Author

Franceschini, D. ; Massa, A.

Author_Institution

Dept. of Inf. & Commun. Technol., Trento Univ., Italy

Volume

1A

fYear

2005

fDate

3-8 July 2005

Firstpage

209

Abstract

This work presents an improved multi-scale algorithm for microwave imaging of two-dimensional scatterers. The proposed methodology includes a feedback between high-and low-resolution reconstructions in order to correlate the iterative reconstruction steps. Towards this end, the appealing features of a particle swarm-based algorithm are fully exploited. Such an integration is aimed at better matching a suitable representation of the unknowns with the global optimization properties of the stochastic optimizer to allow faithful reconstructions.

Keywords

electromagnetic wave scattering; iterative methods; microwave imaging; particle swarm optimisation; stochastic processes; feedback; global optimization properties; high-resolution reconstructions; integrated stochastic multi-scaling strategy; iterative reconstruction; low-resolution reconstructions; microwave imaging applications; particle swarm-based algorithm; stochastic optimizer; two-dimensional scatterers; Cost function; Electromagnetic scattering; Feedback; Image reconstruction; Iterative algorithms; Iterative methods; Microwave imaging; Optimization methods; Particle scattering; Stochastic processes;

fLanguage

English

Publisher

ieee

Conference_Titel

Antennas and Propagation Society International Symposium, 2005 IEEE

Print_ISBN

0-7803-8883-6

Type

conf

DOI

10.1109/APS.2005.1551283

Filename

1551283