Pattern recognition to monitor Strombolian activity
Author(s)
Type
Poster session
Language
English
Obiettivo Specifico
5.5. Attività di Sala Operativa
Editor(s)
Status
Published
Journal
Date Issued
May 27, 2008
Conference Location
Università Federico II Napoli
Abstract
The INGV (Catania Branch) camera network permits to monitor crater activity on Stromboli volcano. The goal of this work is monitoring strombolian activity in order to
automatically classify different types of
explosions and achieve real time identification of critical ones.
automatically classify different types of
explosions and achieve real time identification of critical ones.
References
Danilo Reitano is an electronic engineer. He graduated the DIEES State Engineering University in Catania as electronic engineer with specialization in systems and automatic controls. His expertise is in the design and development of control systems comprising of advanced architectures and software tools. Over the last 10 years he is involved into IT infrastructures and has good experience of building and supporting IT networks. Since 1997 he is a technologist at the Istituto Nazionale di Geofisica e Vulcanologia, Sezione di Catania (INGV-CT) and Head of the “Sala Operativa” Division of INGV-CT. He is involved also into the Italian Antarctica Project.
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