Options
TREMOrEC: a software utility for automatic classification of volcanic tremor
Author(s)
Language
English
Obiettivo Specifico
1.4. TTC - Sorveglianza sismologica delle aree vulcaniche attive
Status
Published
JCR Journal
JCR Journal
Peer review journal
Yes
Title of the book
Issue/vol(year)
4/9 (2008)
Publisher
AGU and the Geochemical Society
Pages (printed)
Q04007
Issued date
April 3, 2008
Alternative Location
Last version
http:/hdl.handle.net/2122/3501
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.
Sponsors
Istituto Nazionale di Geofisica e Vulcanologia and Dipartimento per la Protezione Civile (projects V4/02 and V4/03).
References
Chang, C.C. and C.J. Lin (2001), LIBSVM: a library for support vector machines, http://www.csie.ntu.edu.tw/~cjlin/libsvm/.
Efron, B., and R. J. Tibshirani (1993), An introduction to the bootstrap, Chapman & Hall, 1993.
Falsaperla, S., S. Alparone, S. D'Amico, G. Di Grazia, F. Ferrari, H. Langer, T. Sgroi, and S. Spampinato (2005), Volcanic tremor at Mt. Etna, Italy, preceding and accompanying the eruption of July – August, 2001, Pure Appl. Geophys., 162, 11, 2111-2132.
Fan, R.E., P.H. Chen, and C.J. Lin (2005), Working set selection using second order information for training SVM, Journal of Machine Learning Research 6, 1889-1918.
Masotti, M., S. Falsaperla, H. Langer, S. Spampinato, and R. Campanini (2006), Application of Support Vector Machine to the classification of volcanic tremor at Etna, Italy, Geophys. Res. Lett., 33, L20304, doi:10.1029/2006GL027441.
McNutt, S.R. (2000), Volcanic Seismicity, in Encyclopedia of Volcanoes, edited by H. Sigurdsson, B. Houghton, S.R. McNutt, H. Rymer, and J. Stix, pp. 1095-1119, Academic Press.
Oppenheim, A.V., and R.W. Schafer (1989), Discrete-Time Signal Processing, Prentice-Hall, Englewood Cliffs, NJ.
The MathWorks Inc. (2007), MATLAB R2007a, http://www.mathworks.com.
Vapnik, V. (1998), Statistical Learning Theory, Wiley, N.Y.
Efron, B., and R. J. Tibshirani (1993), An introduction to the bootstrap, Chapman & Hall, 1993.
Falsaperla, S., S. Alparone, S. D'Amico, G. Di Grazia, F. Ferrari, H. Langer, T. Sgroi, and S. Spampinato (2005), Volcanic tremor at Mt. Etna, Italy, preceding and accompanying the eruption of July – August, 2001, Pure Appl. Geophys., 162, 11, 2111-2132.
Fan, R.E., P.H. Chen, and C.J. Lin (2005), Working set selection using second order information for training SVM, Journal of Machine Learning Research 6, 1889-1918.
Masotti, M., S. Falsaperla, H. Langer, S. Spampinato, and R. Campanini (2006), Application of Support Vector Machine to the classification of volcanic tremor at Etna, Italy, Geophys. Res. Lett., 33, L20304, doi:10.1029/2006GL027441.
McNutt, S.R. (2000), Volcanic Seismicity, in Encyclopedia of Volcanoes, edited by H. Sigurdsson, B. Houghton, S.R. McNutt, H. Rymer, and J. Stix, pp. 1095-1119, Academic Press.
Oppenheim, A.V., and R.W. Schafer (1989), Discrete-Time Signal Processing, Prentice-Hall, Englewood Cliffs, NJ.
The MathWorks Inc. (2007), MATLAB R2007a, http://www.mathworks.com.
Vapnik, V. (1998), Statistical Learning Theory, Wiley, N.Y.
Type
article
File(s)
No Thumbnail Available
Name
2008_G3_Masotti_et_al.pdf
Description
main article
Size
630.16 KB
Format
Adobe PDF
Checksum (MD5)
88251027bccdb979fdb2ae8345f60900