Earth-prints repository, logo   DSpace

About DSpace Software
|earth-prints home page | roma library | bologna library | catania library | milano library | napoli library | palermo library
Please use this identifier to cite or link to this item:

Authors: Leoncini, D.*
Decherchi, S.*
Faggioni, O.*
Gastaldo, P.*
Soldani, M.*
Zunino, R.*
Title: A Preliminary Study on SVM based Analysis of Underwater Magnetic Signals for Port Protection
Issue Date: Sep-2009
ISBN: 978-3-642-04090-0
Keywords: underwater detection systems
port protection
magnetic signal processing
Support Vector Machine
Abstract: People who attend to the problem of underwater port protection usually use sonar based systems. Recently it has been shown that integrating a sonar system with an auxiliary array of magnetic sensors can improve the effectiveness of the intruder detection system. One of the major issues that arise from the integrated magnetic and acoustic system is the interpretation of the magnetic signals coming from the sensors. In this paper a machine learning approach is proposed for the detection of divers or, in general, of underwater magnetic sources. The research proposed here, by means of a windowing of the signals, uses Support Vector Machines for classification, as tool for the detection problem. Empirical results show the effectiveness of the method.
Appears in Collections:05.01.01. Data processing
04.05.08. Instruments and techniques
Book chapters
04.05.04. Magnetic anomalies
05.01.05. Algorithms and implementation

Files in This Item:

File SizeFormatVisibility
Faggioni et al CISIS 2009.pdf213.32 kBAdobe PDFView/Open

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

Share this record




Stumble it!



Valid XHTML 1.0! ICT Support, development & maintenance are provided by CINECA. Powered on DSpace Software. CINECA