eprintid: 660
rev_number: 8
eprint_status: archive
userid: 4
dir: disk0/00/00/06/60
datestamp: 2014-11-06 09:23:40
lastmod: 2018-02-26 13:57:15
status_changed: 2014-11-06 09:23:40
type: monograph
metadata_visibility: show
creators_name: Poli, L.
creators_name: Oliveri, G.
creators_name: Viani, F.
creators_name: Massa, A.
title: Performance comparison between contrast source deterministic and probabilistic approaches
ispublished: pub
subjects: MCS
full_text_status: public
monograph_type: technical_report
keywords: Compressive Sensing, Inverse Scattering, Interval Analysis
abstract: In this report a comparison between the multi-task Bayesian Compressive Sensing based on the minimum-norm” (MN) current expansion and other contrast source inversion techniques of the state-of-the-art is proposed. More precisely, the conjugate gradient-based method and the non-linear procedure denoted as "non-radiating" approach have been considered for comparison.
date: 2014
publisher: University of Trento
referencetext: [1] 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.
[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 recon- struction 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] 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.
[9] G. Oliveri, L. Lizzi, M. Pastorino, and A. Massa, "A nested multi-scaling inexact-Newton iterative approach for microwave imaging," IEEE Trans. Antennas Propag., vol. 60, no. 2, pp. 971-983, Feb. 2012.
[10] M. Salucci, D. Sartori, N. Anselmi, A. Randazzo, G. Oliveri, and A. Massa, "Imaging buried ob- jects 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 2013T.
[11] P. Rocca, M. Carlin, L. Manica, and A. Massa, "Microwave imaging within the interval analysis frame- work," Progress in Electromagnetic Research, vol. 143, pp. 675-708, 2013.
[12] P. Rocca, M. Carlin, G. Oliveri, and A. Massa, "Interval analysis as applied to inverse scattering," IEEE International Symposium on Antennas Propag. (APS/URSI 2013), Chicago, Illinois, USA, Jul. 8-14, 2012.
[13] L. Manica, P. Rocca, M. Salucci, M. Carlin, and A. Massa, "Scattering data inversion through interval analysis under Rytov approximation," 7th European Conference on Antennas Propag. (EuCAP 2013), Gothenburg, Sweden, Apr. 8-12, 2013.
[14] P. Rocca, M. Carlin, and A. Massa, "Imaging weak scatterers by means of an innovative inverse scattering technique based on the interval analysis," 6th European Conference on Antennas Propag. (EuCAP 2012), Prague, Czech Republic, Mar. 26-30, 2012.
citation:   Poli, L. and Oliveri, G. and Viani, F. and Massa, A.  (2014) Performance comparison between contrast source deterministic and probabilistic approaches.  Technical Report. University of Trento.     
document_url: http://www.eledia.org/students-reports/660/1/Performance%20comparison%20between%20contrast%20source%20deterministic%20and%20probabilistic%20approaches.pdf