[VERIFICA] Performance analysis of BARE-CG/IMSA-CG applied to the detection of buried objects using GPR data and Frequency Hopping (objects: Square+II+LL)

Sartori, D. (2014) [VERIFICA] Performance analysis of BARE-CG/IMSA-CG applied to the detection of buried objects using GPR data and Frequency Hopping (objects: Square+II+LL). Masters thesis, University of Trento.

[img]
Preview
Text
Abstract.A556.pdf

Download (78kB) | Preview

Abstract

In recent years, there has been a growing interest in the development of inverse scattering based imaging techniques for several diagnostic applications, ranging from non destructive evaluations to subsurface prospecting and medical imaging. The imaging of buried objects is a challenging topic in electromagnetic research. The aim of this project is to validate the performances of an innovative inversion method based on Conjugate Gradient and Frequency Hopping for the detection of objects buried in a lossy half-space. In particular, the processing is performed on synthetic time-domain data coming from a GPR (Ground Penetrating Radar) acquisition system.

Item Type: Student Project Guidelines (Masters)
Uncontrolled Keywords: TDB
Subjects: Uncategorized > TK Master Thesis and Project Reports
URI: http://www.eledia.org/students-reports/id/eprint/624

Actions (login required)

View Item View Item