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Pattern recognition to monitor Strombolian activity

Author(s)
Cariolo, S.  
Consorzio Cometa  
La Via, M.  
Istituto Nazionale di Geofisica e Vulcanologia (INGV), Sezione OE, Catania, Italia  
Mangiagli, S.  
Istituto Nazionale di Geofisica e Vulcanologia (INGV), Sezione OE, Catania, Italia  
Reitano, D.  
Istituto Nazionale di Geofisica e Vulcanologia (INGV), Sezione OE, Catania, Italia  
Type
Poster session
Language
English
Obiettivo Specifico
5.5. Attività di Sala Operativa
Editor(s)
Cariolo, S.  
Consorzio Cometa  
Status
Published
Journal
IES08  
Date Issued
May 27, 2008
Conference Location
Università Federico II Napoli
URI
https://www.earth-prints.org/handle/2122/4446
Subjects
04. Solid Earth::04.08. Volcanology::04.08.06. Volcano monitoring  
Subjects

Pattern recognition

Image processing

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.
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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Cariolo_poster_v2.pdf

Size

2.29 MB

Format

Adobe PDF

Checksum (MD5)

0ad6fc3f6e15073fd8ccbbdf8fd8f6e8

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