Please use this identifier to cite or link to this item: http://hdl.handle.net/2122/3501
AuthorsMasotti, M.*
Campanini, R.*
Mazzacurati, L.*
Falsaperla, S.* 
Langer, H.* 
Spampinato, S.* 
TitleTREMOrEC: a software utility for automatic classification of volcanic tremor
Issue Date2008
URIhttp://hdl.handle.net/2122/3501
Keywordssoftware
Support Vector Machine
Subject Classification05. General::05.01. Computational geophysics::05.01.05. Algorithms and implementation 
AbstractWe 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.
DescriptionA paper on the software TREMOrEC has been accepted for publication on G-cubed.
Appears in Collections:Web products

Files in This Item:
File Description SizeFormat 
TREMOrEC.exe.gzsoftware982.8 kBcompressed formatView/Open
2007GC001860R_ms01.avisample session (video) of TREMOrEC 45.17 MBvideo AVIView/Open
Show full item record

Page view(s)

78
checked on Apr 27, 2017

Download(s)

53
checked on Apr 27, 2017

Google ScholarTM

Check