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A Preliminary Study on SVM based Analysis of Underwater Magnetic Signals for Port Protection
Author(s)
Language
English
Obiettivo Specifico
1.6. Osservazioni di geomagnetismo
2.5. Laboratorio per lo sviluppo di sistemi di rilevamento sottomarini
3.4. Geomagnetismo
Status
Published
Pages Number
37-44
Refereed
Yes
Title of the book
Issued date
September 2009
ISBN
978-3-642-04090-0
Subjects
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.
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.
Type
book chapter
File(s)
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Name
Faggioni et al CISIS 2009.pdf
Size
213.32 KB
Format
Adobe PDF
Checksum (MD5)
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