Classification of Video Observation Data for Volcanic Activity Monitoring Using Computer Vision and Modern Neural NetWorks (on Klyuchevskoy Volcano Example)

Classification of Video Observation Data for Volcanic Activity Monitoring Using Computer Vision and Modern Neural NetWorks (on Klyuchevskoy Volcano Example)

Currently, video observation systems are actively used for volcano activity monitoring. Video cameras allow us to remotely assess the state of a dangerous natural object and to detect thermal anomalies if technical capabilities are available. However, continuous use of visible band cameras instead o...

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Bibliographic Details
Main Authors: Sergey Korolev, Aleksei Sorokin, Igor Urmanov, Aleksandr Kamaev, Olga Girina
Format: Article
Language:English
Published: MDPI AG 2021-11-01
Series:Remote Sensing
Subjects:
Klyuchevskoy volcano
ground-based networks
image classification
machine learning
artificial neural networks
Online Access:https://www.mdpi.com/2072-4292/13/23/4747

Internet

https://www.mdpi.com/2072-4292/13/23/4747

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