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Communication Dans Un Congrès Année : 2017

Automatic classification of seismo-volcanic signatures

Marielle Malfante
Mauro Dalla Mura
Jerome I. Mars
Jean-Philippe Métaxian
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Résumé

The prediction of volcanic eruptions and the evaluation of their associated risks is still a timely and open issue. For this purpose, several types of signals are recorded in the proximity of volcanoes and then analysed by experts. Typically, seismic signals that are considered as precursor or indicator of an active volcanic phase are detected and manually classified. In this work, we propose an architecture for automatic classification of seismo-volcanic waves.
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Dates et versions

hal-01520728 , version 1 (12-05-2017)

Identifiants

  • HAL Id : hal-01520728 , version 1

Citer

Marielle Malfante, Mauro Dalla Mura, Jerome I. Mars, Orlando Macedo, Adolfo Inza, et al.. Automatic classification of seismo-volcanic signatures. EGU 2017 - European Geosciences Union General Assembly, Apr 2017, Vienne, Austria. pp.8842-2. ⟨hal-01520728⟩
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