eprintid: 640
rev_number: 9
eprint_status: archive
userid: 4
dir: disk0/00/00/06/40
datestamp: 2014-07-02 12:24:36
lastmod: 2018-02-27 09:20:03
status_changed: 2014-07-02 12:24:36
type: monograph
metadata_visibility: show
creators_name: Poli, L.
creators_name: Oliveri, G.
creators_name: Massa, A.
title: Statistical Validation of a BCS-based Technique for Perfect Electric Conductors Retrieval
ispublished: pub
subjects: MCS
subjects: MEA
full_text_status: public
monograph_type: technical_report
keywords: Compressive Sensing, Inverse Scattering, Interval Analysis, Evolutionary Optimization
abstract: In this report, a statistical analysis of the local shape function multi-task Bayesian compressive sensing technique is proposed. Accuracy and robustness of the technique has been evaluated varying the number and the position of the sparse PEC objects inside investigation domains of different size.
date: 2012
publisher: University of Trento
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, submitted.
 [9] G. Oliveri, A. Randazzo, M. Pastorino, and A. Massa, "Electromagnetic imaging within the contrast-source formulation by means of the multiscaling inexact Newton method," Journal of Optical Society of America A, vol. 29, no. 6, pp. 945-958, 2012.
 [10] M. Benedetti, D. Lesselier, M. Lambert, and A. Massa, "Multiple shapes reconstruction by means of multi-region level sets," IEEE Trans. Geosci. Remote Sensing, vol. 48, no. 5, pp. 2330-2342, May 2010.
 [11] M. Benedetti, D. Lesselier, M. Lambert, and A. Massa, "A multi-resolution technique based on shape optimization for the reconstruction of homogeneous dielectric objects," Inverse Problems, vol. 25, no. 1, pp. 1-26, Jan. 2009.
 [12] 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:   Poli, L. and Oliveri, G. and Massa, A.  (2012) Statistical Validation of a BCS-based Technique for Perfect Electric Conductors Retrieval.  Technical Report. University of Trento.     
document_url: http://www.eledia.org/students-reports/640/1/Statistical%20Validation%20of%20a%20BCS-based%20Technique%20for%20Perfect%20Electric%20Conductors%20Retrieval.pdf