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Published in: Journal of Computer and Systems Sciences International 1/2020

01-01-2020 | PATTERN RECOGNITION AND IMAGE PROCESSING

Detection of Thermal Anomalies in the Images of Volcanoes Taken at Night

Authors: A. N. Kamaev, S. P. Korolev, A. A. Sorokin, I. P. Urmanov

Published in: Journal of Computer and Systems Sciences International | Issue 1/2020

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Abstract

The problem of revealing the appearance and development of thermal anomalies in the images of volcanoes taken at night in the visible and near-infrared ranges is discussed. An algorithm for detecting and classifying such anomalies is proposed and is tested on the data from the archive of the video monitoring of volcanoes on Kamchatka. The results obtained suggest the possible use of the developed solution in the tasks of real-time monitoring of volcanic activity in the Russian Far East.

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Metadata
Title
Detection of Thermal Anomalies in the Images of Volcanoes Taken at Night
Authors
A. N. Kamaev
S. P. Korolev
A. A. Sorokin
I. P. Urmanov
Publication date
01-01-2020
Publisher
Pleiades Publishing
Published in
Journal of Computer and Systems Sciences International / Issue 1/2020
Print ISSN: 1064-2307
Electronic ISSN: 1555-6530
DOI
https://doi.org/10.1134/S106423071906008X

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