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

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 m...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	Journal of computer & systems sciences international 2020, Vol.59 (1), p.95-104
Hauptverfasser:	Kamaev, A. N., Korolev, S. P., Sorokin, A. A., Urmanov, I. P.
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Anomalies Control Engineering Image detection Mechatronics Monitoring Night Pattern Recognition and Image Processing Robotics Volcanic activity Volcanoes
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!