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Automatic classification of volcano seismic signatures
(American Geophysical Union, 2018-12)
The prediction of volcanic eruptions and the evaluation of associated risks remain a timely and unresolved issue. This paper presents a method to automatically classify seismic events linked to volcanic activity. As increased ...
Machine learning for volcano-seismic signals: challenges and perspectives
(Institute of Electrical and Electronics Engineers Inc. (IEEE), 2018-03-09)
Environmental monitoring is a topic of increasing interest, especially concerning the matter of natural hazards prediction. Regarding volcanic unrest, effective methodologies along with innovative and operational tools are ...
Pattern recognition applied to seismic signals of the Llaima volcano (Chile): An analysis of the events' features
(ELSEVIER SCIENCE BV, 2014)
This paper proposes a computer-based classifier to automatically identify four seismic event classes of the Llaima volcano, one of the most active volcanoes in the Southern Andes, situated in the Araucania Region of Chile. ...
Pattern recognition applied to seismic signals of the Llaima volcano (Chile): An analysis of the events' features
(Elsevier, 2014)
This paper proposes a computer-based classifier to automatically identify four seismic event classes of the Llaima
volcano, one of the most active volcanoes in the Southern Andes, situated in the Araucanía Region of Chile. ...
Pattern recognition applied to seismic signals of Llaima volcano (Chile): An evaluation of station-dependent classifiers
(Elsevier, 2016)
Automatic pattern recognition applied to seismic signals from volcanoes may assist seismic monitoring by reducing the workload of analysts, allowing them to focus on more challenging activities, such as producing reports, ...
Automatic detection of volcano-seismic events by modeling state and event duration in hidden Markov models
(Elsevier, 2016)
In this paper we propose an automatic volcano event detection system based on Hidden Markov Model (HMM) with state and event duration models. Since different volcanic events have different durations, therefore the state ...
Clustering on dissimilarity representations for detecting mislabelled seismic signals at nevado del ruiz volcano
(UNIVERSIDAD NACIONAL DE COLOMBIA, 2007)
Classification of seismic signals at Colombian volcanoes has been carried out manually by visual inspection. In order to reduce the workload for the seismic analysts and to turn classification reliableand objective, the ...
Analysis of dynamics of vulcanian activity of Ubinas volcano, using multicomponent seismic antennas
(Elsevier, 2014-01-15)
A series of 16 vulcanian explosions occurred at Ubinas volcano between May 24 and June 14, 2009. The intervals between explosions were from 2.1 h to more than 6 days (mean interval, 33 h). Considering only the first nine ...
Array analysis of the seismic wavefield of long-period events and volcanic tremor at Arenal volcano, Costa Rica
(2014-06-06)
We use wavefield decomposition methods (time domain cross correlation and frequency domain multiple-signal classification) to analyze seismic data recorded by a dense, small-aperture array located 2 km West of Arenal ...
Dissimilarity-based classification of seismic signals at nevado del ruiz volcano
(UNIVERSIDAD NACIONAL DE COLOMBIA, 2006)
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 ...