TITLE

DISSIMILARITY-BASED CLASSIFICATION OF SEISMIC SIGNALS AT NEVADO DEL RUIZ VOLCANO

AUTHOR(S)
Orozco, Mauricio; García, Marcelo E.; Duin, Robert P. W.; Castellanos, César G.
PUB. DATE
December 2006
SOURCE
Earth Sciences Research Journal;Dec2006, Vol. 10 Issue 2, p57
SOURCE TYPE
Academic Journal
DOC. TYPE
Article
ABSTRACT
Automatic classification of seismic signals has been typically carried out on feature-based representations. Recent research works have shown that constructing classifiers on dissimilarity representations is a more practical and, sometimes, a more accurate solution for some pattern recognition problems. In this paper, we consider Bayesian classifiers constructed on dissimilarity representations. We show that such classifiers are a feasible and reliable alternative for automatic classification of seismic signals. Our experiments were conducted on a dataset containing seismic signals recorded by two selected stations of the monitoring network at Nevado del Ruiz Volcano. Dissimilarity representations were constructed by calculating pairwise Euclidean distances and a non-Euclidean measure on the normalized spectra, which is based on the difference in area between spectral curves. Results show that even though Euclidean dissimilarities have advantageous properties, non-Euclidean measures can be beneficial for matching spectra of seismic signals.
ACCESSION #
24222855

 

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