Automatic Multichannel Volcano-Seismic Classification Using Machine Learning and EMD

This article proposes the design of an automatic classifier using the empirical mode decomposition (EMD) along with machine learning techniques for identifying the five most important types of events of the Ubinas volcano, the most active volcano in Peru. The proposed method uses attributes from tem...

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Bibliographic Details
Main Authors: Pablo Eduardo Espinoza Lara, Carlos Alexandre Rolim Fernandes, Adolfo Inza, Jerome I. Mars, Jean-Philippe Metaxian, Mauro Dalla Mura, Marielle Malfante
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9049122/