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Detection of subsurface metallic utilities by means of a {SAP} technique: Comparing {MUSIC-} and {SVM-based} approaches

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TitleDetection of subsurface metallic utilities by means of a {SAP} technique: Comparing {MUSIC-} and {SVM-based} approaches
Publication TypeJournal Article
Year of Publication2013
AuthorsMeschino, S, Pajewski, L, Pastorino, M, Randazzo, A, Schettini, G
JournalJournal of Applied Geophysics
Volume97
Pagination60–68
ISSN0926-9851
KeywordsBuried object detection, Direction of arrival estimation, electromagnetic scattering, smart antennas, Sub-array processing
Abstract

The identification of buried cables, pipes, conduits, and other cylindrical utilities is a very important task in civil engineering. In the last years, several methods have been proposed in the literature for tackling this problem. Most commonly employed approaches are based on the use of Ground Penetrating Radars, i.e., they extract the needed information about the unknown scenario starting from the electromagnetic field collected by a set of antennas. In the present paper, a statistical method, based on the use of smart antenna techniques, is used for the localization of a single buried object. In particular, two efficient algorithms for the estimation of the directions of arrival of the electromagnetic waves scattered by the targets, namely the {MUltiple} {SIgnal} Classification and the Support Vector Regression, are considered and their performances are compared.

URLhttp://www.sciencedirect.com/science/article/pii/S0926985113000165
DOI10.1016/j.jappgeo.2013.01.011