Please use this identifier to cite or link to this item: http://hdl.handle.net/2122/4157
Authors: Masotti, M.* 
Campanini, R.* 
Mazzacurati, L.* 
Falsaperla, S.* 
Langer, H.* 
Spampinato, S.* 
Title: TREMOrEC: a software utility for automatic classification of volcanic tremor
Journal: Geochemistry Geophysics Geosystems 
Series/Report no.: 4/9 (2008)
Publisher: AGU and the Geochemical Society
Issue Date: 3-Apr-2008
DOI: 10.1029/2007GC001860
URL: http://www.agu.org/journals/gc/
Keywords: Volcanic tremor
Etna
Support Vector Machine
classification
Subject Classification04. Solid Earth::04.06. Seismology::04.06.08. Volcano seismology 
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 [Masotti et al,. 2006]. 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., pre-eruptive, 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 less than 6% of error.
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