eprintid: 655
rev_number: 7
eprint_status: archive
userid: 4
dir: disk0/00/00/06/55
datestamp: 2014-09-19 12:16:49
lastmod: 2014-09-19 12:16:49
status_changed: 2014-09-19 12:16:49
type: thesis
metadata_visibility: show
creators_name: Malacarne, A.
title: Performance analysis of BARE-CG/IMSA-CG applied to the detection of buried objects using GPR data and Frequency Hopping (objects: O, +)
ispublished: pub
subjects: MCS
full_text_status: public
keywords: Compressive Sensing, Inverse Scattering 
abstract: In recent years, there has been a growing interest in the development of inverse scattering based imaging techniques for several diagnostic applications, ranging from non destructive evaluations to subsurface prospecting and medical imaging.
The imaging of buried objects is a challenging topic in electromagnetic research. 
The aim of this project is to validate the performances of an innovative inversion method based on Conjugate Gradient and Frequency Hopping for the detection of objects buried in a lossy half-space. In particular, the processing is performed on synthetic time-domain data coming from a GPR (Ground Penetrating Radar) acquisition system.

date: 2013-12-19
date_type: completed
institution: University of Trento
department: ELEDIA Research Center @ DISI
thesis_type: masters
referencetext: [1]	L. Poli, G. Oliveri, and A. Massa, "Imaging sparse metallic cylinders through a Local Shape Function Bayesian Compressive Sensing approach," Journal of Optical Society of America A, vol. 30, no. 6, pp. 1261-1272, 2013.
[2]	F. Viani, L. Poli, G. Oliveri, F. Robol, and A. Massa, "Sparse scatterers imaging through approximated multitask compressive sensing strategies," Microwave Opt. Technol. Lett., vol. 55, no. 7, pp. 1553-1558, Jul. 2013. 
[3]	L. Poli, G. Oliveri, P. Rocca, and A. Massa, "Bayesian compressive sensing approaches for the reconstruction of two-dimensional sparse scatterers under TE illumination," IEEE Trans. Geosci. Remote Sensing, vol. 51, no. 5, pp. 2920-2936, May. 2013.
[4]	L. Poli, G. Oliveri, and A. Massa, "Microwave imaging within the first-order Born approximation by means of the contrast-field Bayesian compressive sensing," IEEE Trans. Antennas Propag., vol. 60, no. 6, pp. 2865-2879, Jun. 2012.
[5]	G. Oliveri, P. Rocca, and A. Massa, "A bayesian compressive sampling-based inversion for imaging sparse scatterers," IEEE Trans. Geosci. Remote Sensing, vol. 49, no. 10, pp. 3993-4006, Oct. 2011. 
[6]	G. Oliveri, L. Poli, P. Rocca, and A. Massa, "Bayesian compressive optical imaging within the Rytov approximation," Optics Letters, vol. 37, no. 10, pp. 1760-1762, 2012.
[7]	L. Poli, G. Oliveri, F. Viani, and A. Massa, "MT-BCS-based microwave imaging approach through minimum-norm current expansion," IEEE Trans. Antennas Propag., vol. 61, no. 9, pp. 4722-4732, Sept. 2013
[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., 2014, in press.
[9]	A. Massa, P. Rocca, and G. Oliveri, "Compressive sensing in electromagnetics - A review," IEEE Antennas and Propagation Magazine, 2014, in press.
[10]	M. Salucci, G. Oliveri, A. Randazzo, M. Pastorino, and A. Massa, "Electromagnetic subsurface prospecting by a multifocusing inexact Newton method within the second-order Born approximation," J. Opt. Soc. Am. A., vol. 31, no. 6, pp. 1167-1179, Jun. 2014
citation:   Malacarne, A.  (2013) Performance analysis of BARE-CG/IMSA-CG applied to the detection of buried objects using GPR data and Frequency Hopping (objects: O, +).  Masters thesis, University of Trento.   
document_url: http://www.eledia.org/students-reports/655/1/Abstract.A569.pdf