Skip to main content

A Quadratic Model for Electromagnetic Subsurface Prospecting

Buy Article:

$28.45 plus tax (Refund Policy)

Abstract:



In this paper a quadratic model for the reconstruction of objects embedded in a lossy half space from scattered field data is introduced in a two dimensional and scalar geometry. It is shown that the present approach allows to reconstruct permittivity profiles that are not retrievable within a simpler linear model. This is due to the non-linearity of the quadratic approach, that allows to take into account for multiple scattering phenomena neglected by a linear approach. To perform the inversion, the object to be retrieved is projected within a finite dimensional subspace depending on the geometry of the problem, the electromagnetic properties of the half space, the configuration of the source and of the measurements. This step allows to regularize suitably the inverse problem. Furthermore, an appropriate choice of such a subspace and the use of a two step minimization procedure, with different solution spaces with progressively enlarged number of unknowns, allows to counteract the problem of local minima and to perform a computationally viable inversion.

Keywords: Inverse electromagnetic scattering; Non linear inversion; Subsurface prospection

Document Type: Original Article

DOI: http://dx.doi.org/10.1078/1434-8411-54100138

Affiliations: 1: Dipartimento di Informatica, Matematica, Elettronica e Trasporti, Università Mediterranea di Reggio Calabria, Via Graziella, Feo di Vito, I-89060, Reggio Calabria, Italy Fax: +39-0965-875 262; E-mail: gioleone@ing.unirc.it 2: Istituto di Ricerca per il Rilevamento Elettromagnetico dell'Ambiente, IREA-CNR, Via Diocleziano 328, I-80124, Naples, Italy

Publication date: January 1, 2003

urban/541/2003/00000057/00000001/art00138
dcterms_title,dcterms_description,pub_keyword
6
5
20
40
5

Access Key

Free Content
Free content
New Content
New content
Open Access Content
Open access content
Subscribed Content
Subscribed content
Free Trial Content
Free trial content
Cookie Policy
X
Cookie Policy
Ingenta Connect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more