On the exploitation of the a-priori information through the Bayesian compressive sensing for microwave imaging

Author

Oliveri, Giacomo ; Poli, Lorenzo ; Massa, Andrea

Author_Institution

ELEDIA Res. Center at DISI, Univ. of Trento, Trento, Italy

fYear

2012

fDate

26-30 March 2012

Firstpage

1502

Lastpage

1503

Abstract

A set of computationally efficient inverse scattering techniques that exploit the `a-priori´ information on the sparseness of the unknown scatterers is presented. Towards this end, the Contrast Source formulation of the inverse scattering problem is presented within the Bayesian Compressive Sampling (BCS) framework and successively solved through a Relevance Vector Machine. Some illustrative examples are provided to show the features and potentialities of the approach both when dealing with TE and with TM scattering data.

Keywords

Bayes methods; compressed sensing; electromagnetic wave scattering; microwave imaging; support vector machines; Bayesian compressive sensing; TE scattering; TM scattering; a-priori information; computationally efficient inverse scattering; contrast source formulation; microwave imaging; relevance vector machine; unknown scatterers; Bayesian methods; Inverse problems; Microwave antennas; Microwave imaging; Microwave theory and techniques; Scattering; Bayesian compressive sensing; Microwave imaging; inverse scattering; relevance vector machine;

fLanguage

English

Publisher

ieee

Conference_Titel

Antennas and Propagation (EUCAP), 2012 6th European Conference on

Conference_Location

Prague

Print_ISBN

978-1-4577-0918-0

Electronic_ISBN

978-1-4577-0919-7

Type

conf

DOI

10.1109/EuCAP.2012.6206047

Filename

6206047