eprintid: 375
rev_number: 5
eprint_status: archive
userid: 5
dir: disk0/00/00/03/75
datestamp: 2011-08-02
lastmod: 2013-07-04 11:14:38
status_changed: 2013-07-04 11:14:38
type: techreport
metadata_visibility: show
item_issues_count: 0
creators_name: Franceschini, Davide
creators_name: Rosani, Andrea
creators_name: Donelli, Massimo
creators_name: Massa, Andrea
creators_name: Pastorino, Matteo
title: Morphological Processing of Electromagnetic Scattering Data for Enhancing the Reconstruction Accuracy of the Iterative Multi-Scaling Approach
ispublished: pub
subjects: TU
full_text_status: public
keywords: Microwave Imaging, Inverse Scattering, Multiresolution, Morphological operations.
abstract: This work presents a methodology to locate and characterize multiple unknown scatterers exploiting the scattered electromagnetic radiation collected on a measurement region outside the area under investigation. In many practical cases, an accurate quantitative imaging of the scenario under test is required and it can be reached by using a high resolution representation of the dielectric profile of the scatterers. Towards this aim, an enhanced iterative multi-resolution procedure that exploits a morphological processing for detecting and focusing on different non-connected regions-of-interest has been developed. A suitable set of representative numerical results will demonstrate that the proposed approach is able to efficiently detect the objects in the imaging scenario and to enhance the accuracy in reconstructing multiple scatterers. 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
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citation:   Franceschini, Davide and Rosani, Andrea and Donelli, Massimo and Massa, Andrea and Pastorino, Matteo  (2011) Morphological Processing of Electromagnetic Scattering Data for Enhancing the Reconstruction Accuracy of the Iterative Multi-Scaling Approach.  [Technical Report]     
document_url: http://www.eledia.org/students-reports/375/1/DISI-11-253.C112.pdf