eprintid: 727
rev_number: 9
eprint_status: archive
userid: 4
dir: disk0/00/00/07/27
datestamp: 2017-04-13 07:19:29
lastmod: 2018-02-26 15:12:34
status_changed: 2017-04-13 07:19:29
type: monograph
metadata_visibility: show
creators_name: Salucci, M.
creators_name: Poli, L.
creators_name: Massa, A.
title: A Multi‐Frequency Multi‐Resolution Approach for GPR Microwave Imaging of Buried Objects
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 presents a numerical validation of an innovative inverse scattering (IS) technique for the microwave imaging of buried objects through the deterministic inversion of wideband ground penetrating radar (GPR) data. The developed methodology is based on an iterative multi-focusing strategy and on a multi-frequency (MF) formulation of the IS equations. The minimization of the arising MF cost function is performed by a customized conjugate gradient (CG)-based solver. Some numerical results are presented in order to validate the effectiveness of the developed methodology under different operating conditions, by considering a variation of the shape/material of the unknown objects, as well as a variation of the level of noise on the measured time-domain total field. Moreover, a comparison with respect to a state-of-the-art approach based on a Frequency Hopping (FH) strategy is given, as well.
date: 2017
publisher: University of Trento
referencetext: [1] P. Rocca, M. Benedetti, M. Donelli, D. Franceschini, and A. Massa, "Evolutionary optimization as applied to inverse problems," Inverse Probl., vol. 25, pp. 1-41, Dec. 2009.
[2] P. Rocca, G. Oliveri, and A. Massa, "Differential Evolution as applied to electromagnetics," IEEE Antennas Propag. Mag., vol. 53, no. 1, pp. 38-49, Feb. 2011.
[3] M. Salucci, G. Oliveri, and A. Massa, "GPR prospecting through an inverse scattering frequency-hopping multi-focusing approach," IEEE Trans. Geosci. Remote Sens., vol. 53, no. 12, pp. 6573-6592, Dec. 2015.
[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.
[5] A. Massa, P. Rocca, and G. Oliveri, "Compressive sensing in electromagnetics - A review," IEEE Antennas Propag. Mag., pp. 224-238, vol. 57, no. 1, Feb. 2015.
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[7] N. Anselmi, G. Oliveri, M. Salucci, and A. Massa, "Wavelet-based compressive imaging of sparse targets," IEEE Trans. Antennas Propag., vol. 63, no. 11, pp. 4889-4900, Nov. 2015.
[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.
[10] T. Moriyama, M. Salucci, M. Tanaka, and T. Takenaka, "Image reconstruction from total electric field data with no information on the incident field," J. Electromagnet. Wave., vol. 30, no. 9, pp. 1162-1170, 2016.
[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) A Multi‐Frequency Multi‐Resolution Approach for GPR Microwave Imaging of Buried Objects.  Technical Report. University of Trento.     
document_url: http://www.eledia.org/students-reports/727/1/A%20Multi%E2%80%90Frequency%20Multi%E2%80%90Resolution%20Approach%20for%20GPR%20Microwave%20Imaging%20of%20Buried%20Objects.pdf