eprintid: 726
rev_number: 9
eprint_status: archive
userid: 4
dir: disk0/00/00/07/26
datestamp: 2017-04-06 08:51:30
lastmod: 2018-02-26 14:52:32
status_changed: 2017-04-06 08:51:30
type: monograph
metadata_visibility: show
creators_name: Salucci, M.
creators_name: Poli, L.
creators_name: Massa, A.
title: GPR Microwave Imaging Through An Innovative Multi‐Frequency Deterministic Approach
ispublished: pub
subjects: AWC
subjects: MDSCP
full_text_status: public
monograph_type: technical_report
keywords: Ground Penetrating Radar (GPR), Inverse Scattering (IS), Multi-Frequency, Conjugate Gradient, Deterministic Approaches, Wide-band Data 
abstract: This work deals with the microwave imaging of the dielectric characteristics of buried targets in a lossy half-space. The solution of the arising inverse scattering (IS) problem is performed by processing wide-band ground penetrating radar (GPR) measurements through an innovative deterministic approach. More precisely, the developed GPR-IS technique is based on a multi-frequency (MF) scheme and integrates a conjugate-gradient (CG) solver within the iterative multi-scaling approach (IMSA). Some preliminary numerical results are shown in order to assess the effectiveness of the proposed methodology, as well as to compare it to a state-of-the-art deterministic approach based on a frequency hopping (FH) strategy.
date: 2017
publisher: University of Trento
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[4] M. Salucci, L. Poli, N. Anselmi and A. Massa, "Multifrequency particle swarm optimization for enhanced multiresolution GPR microwave imaging," IEEE Trans. Geosci. Remote Sens., vol. 55, no. 3, pp. 1305-1317, Mar. 2017.
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[8] G. Oliveri, N. Anselmi, and A. Massa, "Compressive sensing imaging of non-sparse 2D scatterers by a total-variation approach within the Born approximation," IEEE Trans. Antennas Propag., vol. 62, no. 10, pp. 5157-5170, Oct. 2014.
[9] T. Moriyama, G. Oliveri, M. Salucci, and T. Takenaka, "A multi-scaling forward-backward time-stepping method for microwave imaging," IEICE Electron. Expr., vol. 11, no. 16, pp. 1-12, Aug. 2014.
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[11] F. Viani, L. Poli, G. Oliveri, F. Robol, and A. Massa, "Sparse scatterers imaging through approximated multi-task compressive sensing strategies," Microw. Opt. Technol. Lett., vol. 55, no. 7, pp. 1553-1557, Jul. 2013. 
[12] M. Salucci, L. Poli, and A. Massa, "Advanced multi-frequency GPR data processing for non-linear deterministic imaging," Signal Processing - Special Issue on 'Advanced Ground-Penetrating Radar Signal-Processing Techniques,' vol. 132, pp. 306-318, Mar. 2017.
[13] M. Salucci, N. Anselmi, G. Oliveri, P. Calmon, R. Miorelli, C. Reboud, and A. Massa, "Real-time NDT-NDE through an innovative adaptive partial least squares SVR inversion approach," IEEE Trans. Geosci. Remote Sens., vol. 54, no. 11, pp. 6818-6832, Nov. 2016.
[14] L. Poli, G. Oliveri, and A. Massa, "Imaging sparse metallic cylinders through a local shape function bayesian compressing sensing approach," J. Opt. Soc. Am. A, vol. 30, no. 6, pp. 1261-1272, Jun. 2013.
citation:   Salucci, M. and Poli, L. and Massa, A.  (2017) GPR Microwave Imaging Through An Innovative Multi‐Frequency Deterministic Approach.  Technical Report. University of Trento.     
document_url: http://www.eledia.org/students-reports/726/1/GPR%20Microwave%20Imaging%20Through%20An%20Innovative%20Multi%E2%80%90Frequency%20Deterministic%20Approach.pdf