TREMOrEC: A software utility for automatic classification of volcanic tremor

Masotti, Matteo and Campanini, Renato and Mazzacurati, Lorenzo and Falsaperla, Susanna and Langer, Horst and Spampinato, Salvo (2008) TREMOrEC: A software utility for automatic classification of volcanic tremor. Geochemistry, Geophysics, Geosystems, 9 (4).
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Abstract

We describe a stand-alone software utility named TREMOrEC, which carries out training and test of a Support Vector Machine (SVM) classifier. TREMOrEC is developed in Visual C++ and runs under Microsoft Windows operating systems. Ease of use and short time processing, along with the excellent performance of the SVM classifier, make this tool ideal for volcano monitoring. The development of TREMOrEC is motivated by the successful application of the SVM classifier to volcanic tremor data recorded at Mount Etna in 2001. In that application, spectrograms of volcanic tremor were divided according to their recording date into four classes associated with different states of activity, i.e., preeruptive, lava fountain, eruptive, or post-eruptive. During the training, SVM learned the a priori classification. The classifier’s performance was then evaluated on test sets not considered for training. The classification results matched the actual class membership with an error of less than 6%.

Abstract
Document type
Article
Creators
CreatorsAffiliationORCID
Masotti, Matteo
Campanini, Renato
Mazzacurati, Lorenzo
Falsaperla, Susanna
Langer, Horst
Spampinato, Salvo
Keywords
Volcanic Tremor; Etna; Support Vector Machine; Classification
Subjects
DOI
Deposit date
05 Jun 2008
Last modified
16 May 2011 12:08
URI

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