relation: http://www.eledia.org/students-reports/739/
title: Multi‐Resolution Processing of Multi‐Frequency GPR Data for Robust Buried Object Imaging
creator: Salucci, M. 
creator: Poli, L. 
creator: Anselmi, N.
creator: Massa, Andrea
subject: A WC Next Generation Wireless Communications
subject: M EA Evolutionary Algorithms
description: This work presents an innovative GPR microwave imaging technique aimed at  retrieving the electromagnetic properties of inaccessible domains buried below a  planar interface. The arising two‐dimensional (2‐D) inverse scattering problem is  solved taking into account for the wide‐band nature of GPR data by exploiting a  multi frequency (MF) solution approach. Moreover, a customized multiresolution  particle swarm optimizer (IMSA‐PSO) is exploited in order to minimize  the MF cost function by adaptively refining the image resolution only in the  identified regions of interest (RoIs). A set of numerical experiments is shown in  order to verify the effectiveness of the developed MF‐IMSA‐PSO technique when  the background permittivity is not exactly known. A comparative assessment  with respect to a deterministic local search‐based microwave imaging technique  is given, as well, to highlight the superior performances yielded by the  exploitation of the PSO solver.
publisher: ELEDIA Research Center - University of Trento
date: 2017
type: Monograph
type: NonPeerReviewed
format: text
language: en
identifier: http://www.eledia.org/students-reports/739/1/Robust%20Multi-Frequency%20GPR%20Microwave%20Imaging%20through%20Multi-Scaling%20Particle%20Swarm%20Optimization.pdf
identifier:   Salucci, M.  and Poli, L.  and Anselmi, N. and Massa, Andrea  (2017) Multi‐Resolution Processing of Multi‐Frequency GPR Data for Robust Buried Object Imaging.  Technical Report. ELEDIA Research Center - University of Trento.