eprintid: 638
rev_number: 9
eprint_status: archive
userid: 4
dir: disk0/00/00/06/38
datestamp: 2014-07-02 12:09:12
lastmod: 2018-02-26 13:51:17
status_changed: 2014-07-02 12:09:12
type: monograph
metadata_visibility: show
creators_name: Poli, L.
creators_name: Oliveri, G.
creators_name: Massa, A.
title: Multi-task Bayesian Compressive Sensing Method for Imaging Sparse Metallic Cylinders
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, an innovative method for the localization of multiple sparse metallic targets is proposed. Starting from the local shape function formulation of the inverse scattering problem and exploiting the multitask Bayesian compressive sensing paradigm, a two-step approach is applied where, after a first estimation of the LSF scattering amplitudes, the reconstruction of the metallic objects is yielded through a thresholding and voting step. The calibration of the BCS parameters together with some preliminary results dealing with small scatterers reported.
date: 2014
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] S. C. Hagness, E. C. Fear, and A. Massa, "Guest Editorial: Special Cluster on Microwave Medical Imaging," IEEE Antennas Wireless Propag. Lett., vol. 11, pp. 1592-1597, 2012.
[10] 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. 
[11] A. Randazzo, G. Oliveri, A. Massa, and M. Pastorino, "Electromagnetic inversion with the multiscaling inexact-Newton method - Experimental validation," Microwave Opt. Technol. Lett., vol. 53, no. 12, pp. 2834-2838, Dec. 2011.
[12] 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.
[13] 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.  (2014) Multi-task Bayesian Compressive Sensing Method for Imaging Sparse Metallic Cylinders.  Technical Report. University of Trento.     
document_url: http://www.eledia.org/students-reports/638/1/Multi-task%20Bayesian%20Compressive%20Sensing%20Method%20for%20Imaging%20Sparse%20Metallic%20Cylinders.pdf