eprintid: 374
rev_number: 6
eprint_status: archive
userid: 5
dir: disk0/00/00/03/74
datestamp: 2011-07-26
lastmod: 2013-06-28 14:07:36
status_changed: 2013-06-28 14:07:36
type: techreport
metadata_visibility: show
item_issues_count: 0
creators_name: Franceschini, Davide
creators_name: Franceschini, Gabriele
creators_name: Donelli, Massimo
creators_name: Rocca, Paolo
creators_name: Massa, Andrea
title: Imaging Three-Dimensional Bodies by Processing Multi-Frequency Data Through a Multiscale Swarm Intelligence Based Method
ispublished: pub
subjects: TU
full_text_status: public
abstract: This contribution is aimed at investigating the potentialities and current limitations of the multiscale particle swarm method when processing multi frequency data scattered by three dimensional structures. Such a global optimization approach demonstrated its effectiveness in solving complex two dimensional imaging problems. Therefore, it has been suitably modified for dealing with three dimensional geometries and integrated into multi frequency inversion schemes. Selected numerical results are shown in order to allow a preliminary evaluation of the reconstruction accuracy of the proposed implementations. This is the author's version of the final version available at IEEE.
date: 2011-01
date_type: published
institution: University of Trento
department: informaticat
refereed: FALSE
referencetext: [1] O. S. Haddadin and E. S. Ebbini, "Imaging strongly scattering media using a multiple frequency distorted Born iterative method," IEEE Trans. Ultrason. Ferroelect. Freq. Contr., vol. 45, pp. 1485-1496, Nov. 1998. [2] K. Belkebir, R. Kleinmann, and C. Pichot, "Microwave imaging - Location and shape reconstruction from multifrequency data," IEEE Trans. Microwave Theory Tech., vol. 45, pp. 469-475, Apr. 1997. [3] O. M. Bucci, L. Crocco, T. Isernia, and V. Pascazio, "Inverse scattering problems with multifrequency data: reconstruction capabilities and solution strategies," IEEE Trans. Geosci. Remote Sensing, vol. 38, pp. 1749-1756, Jul. 2000. [4] A. Baussard, "Inversion of multi-frequency experimental data using an adaptive multiscale approach", Inverse Problems, vol. 21, pp. S15-S31, Dec. 2005. [5] D. Franceschini, M. Donelli, E. Tamanini, and A. Massa, “An iterative procedure for combining the advantages of a multi-frequency and multi-resolution inversion algorithm,” in Proc. EuCAP2006, Nice, France, November 6-10, 2006. [6] D. Franceschini and A. Massa, “An Integrated Stochastic Multi-Scaling Strategy for Microwave Imaging Applications,” 2005 IEEE AP-S International Symposium and USNC/URSI National Radio Science Meeting, vol. 1A, pp. 209-212, Washington, July 3-8, 2005. [7] M. Donelli and A. Massa, "Computational approach based on a particle swarm optimizer for microwave imaging of two-dimensional dielectric scatterers," IEEE Trans. Microwave Theory Tech., vol. 53, pp. 1761-1776, May 2005. [8] G. Franceschini, D. Franceschini, and A. Massa, "Full vectorial three-dimensional microwave imaging through the iterative multiscaling strategy - A preliminary assessment," IEEE Geosci. Remote Sensing Lett., vol. 2, pp. 428-432, Oct. 2005.
citation:   Franceschini, Davide and Franceschini, Gabriele and Donelli, Massimo and Rocca, Paolo and Massa, Andrea  (2011) Imaging Three-Dimensional Bodies by Processing Multi-Frequency Data Through a Multiscale Swarm Intelligence Based Method.  [Technical Report]     
document_url: http://www.eledia.org/students-reports/374/1/DISI-11-228.C137.pdf