Publication Date:
2017-04-04
Description:
Hypocenter and focal mechanism of an earthquake can be
determined by the analysis of signals, named waveforms, related to the
wave field produced and recorded by a seismic network. Assuming that
waveform similarity implies the similarity of focal parameters, the analysis
of those signals characterized by very similar shapes can be used
to give important details about the physical phenomena which have
generated an earthquake. Recent works have shown the effectiveness of
cross-correlation and/or cross-spectral dissimilarities to identify clusters
of seismic events. In this work we propose a new dissimilarity measure
between seismic signals whose reliability has been tested on real seismic
data by computing external and internal validation indices on the
obtained clustering. Results show its superior quality in terms of cluster
homogeneity and computational time with respect to the largely adopted
cross correlation dissimilarity.
Description:
Published
Description:
Ravenna Italy
Description:
2.5. Laboratorio per lo sviluppo di sistemi di rilevamento sottomarini
Description:
open
Keywords:
Clustering
;
Seismci singnals
;
dissimilarity measure
;
04. Solid Earth::04.06. Seismology::04.06.09. Waves and wave analysis
Repository Name:
Istituto Nazionale di Geofisica e Vulcanologia (INGV)
Type:
Conference paper
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