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Dissimilarity-based classification of seismic signals at nevado del ruiz volcano

Orozco, Mauricio and García, Marcelo E. and P.W. Duin, Robert and G. Castellanos, César (2006) Dissimilarity-based classification of seismic signals at nevado del ruiz volcano. Earth Sciences Research Journal; Vol. 10, núm. 2 (2006); 57-65 Earth Sciences Research Journal; Vol. 10, núm. 2 (2006); 57-65 2339-3459 1794-6190 .

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URL oficial: http://revistas.unal.edu.co/index.php/esrj/article...

Resumen

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 patternrecognition problems. In this paper, we consider Bayesian classifiers constructed on dissimilarity representations. We show that such classifiers are a feasible and reliable alternative for automaticclassification 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.

Tipo de documento:Artículo - Article
Unidad administrativa:Revistas electrónicas UN > Earth Sciences Research Journal
Código ID:24098
Enviado por : Dirección Nacional de Bibliotecas STECNICO
Enviado el día :27 Junio 2014 15:24
Ultima modificación:31 Enero 2018 19:19
Ultima modificación:31 Enero 2018 19:19
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