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Automatic Classification of eruptive events by the VAMOS system
Author(s)
Type
Conference paper
Language
Italian
Obiettivo Specifico
5V. Sorveglianza vulcanica ed emergenze
Status
Published
Issued date
September 14, 1999
Conference Location
Sansepolcro (AR)
Keywords
Abstract
An automatic system named VAMOS (Volcanic Activity
MOnitoring System) for monitoring volcanic activity at Mt. Etna and
Stromboli volcanoes, is at the present under test at the data collection
center at IIV (Istituto Internazionale di Vulcanologia, CNR, Catania). This
system allows automatic recognition of volcanic activity by on-line
processing of images collected by the surveillance cameras positioned close
to the summit crater of two above mentioned volcanoes which are
worldwide known to be characterized by a persistent eruptive activity.
Based on this automatic system, a new software tool to extract quantitative
information from collected images is now under developing. Several tasks
have been planned to solve by using this tool such as the automatic
classification of recorded events and the computation of relaxed energy
based on stereo-vision and thermal images. One of the first result of the
undertaken research activity has been the automatic classification of the
type of volcanic events and the localization of the eruptive event.
MOnitoring System) for monitoring volcanic activity at Mt. Etna and
Stromboli volcanoes, is at the present under test at the data collection
center at IIV (Istituto Internazionale di Vulcanologia, CNR, Catania). This
system allows automatic recognition of volcanic activity by on-line
processing of images collected by the surveillance cameras positioned close
to the summit crater of two above mentioned volcanoes which are
worldwide known to be characterized by a persistent eruptive activity.
Based on this automatic system, a new software tool to extract quantitative
information from collected images is now under developing. Several tasks
have been planned to solve by using this tool such as the automatic
classification of recorded events and the computation of relaxed energy
based on stereo-vision and thermal images. One of the first result of the
undertaken research activity has been the automatic classification of the
type of volcanic events and the localization of the eruptive event.
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