eprintid: 612
rev_number: 8
eprint_status: archive
userid: 4
dir: disk0/00/00/06/12
datestamp: 2014-05-07 08:33:17
lastmod: 2014-05-07 08:33:17
status_changed: 2014-05-07 08:33:17
type: thesis
metadata_visibility: show
creators_name: Frignani, R.
title: VERIFICA: Performance analysis of Conjugate Gradient (CG) applied to the detection of buried objects with GPR data 
ispublished: pub
subjects: TK
full_text_status: public
keywords: TDB
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 coming from the application of a method (Conjugate Gradient) previously proposed for imaging of scatterers in free-space, when extended to the case of objects buried in a lossy half-space. In particular, the processing will be performed on synthetic data coming from a GPR (Ground Penetrating Radar) acquisition system.

date: 2013
date_type: published
institution: University of Trento
department: ELEDIA Research Center@DISI
thesis_type: bachelor
referencetext: [1]	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, Sep. 2013.
[2]	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.
[3]	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. 
[4]	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.
[5]	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.
[6]	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. 
[7]	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.
[8]	P. Rocca, M. Carlin, L. Manica, and A. Massa, "Microwave imaging within the interval analysis framework," Progress in Electromagnetic Research, vol. 143, pp. 675-708, 2013.
[9]	G. Oliveri, Y. Zhong, X. Chen, and A. Massa, "Multi-resolution subspace-based optimization method for inverse scattering," Journal of Optical Society of America A, vol. 28, no. 10, pp. 2057-2069, Oct. 2011. 
[10]	M. Salucci, D. Sartori, N. Anselmi, A. Randazzo, G. Oliveri, and A. Massa, "Imaging buried objects within the second-order Born approximation through a multiresolution-regularized inexact-Newton method‚ " in 2013 International Symposium on Electromagnetic Theory (EMTS), (Hiroshima, Japan), pp. 116-118, May 20-24 2013.

citation:   Frignani, R.  (2013) VERIFICA: Performance analysis of Conjugate Gradient (CG) applied to the detection of buried objects with GPR data.  Bachelor thesis, University of Trento.   
document_url: http://www.eledia.org/students-reports/612/1/Abstract.A449.pdf