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Proceedings Paper

Ontologies in remote sensing data processing for urban area description
Author(s): Alexander I. Ryumkin; Mikhail M. Kabanov; Sergey N. Kapustin
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Paper Abstract

The article discusses an approach to incorporating a priori information for urban area automated recognition and classification based on space and aerial images. An approach considered is based on using the ontology describing urban objects and relations between them. Basic steps and guidelines to such ontology building are discussed.

Paper Details

Date Published: 25 November 2014
PDF: 6 pages
Proc. SPIE 9292, 20th International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics, 92923Q (25 November 2014); doi: 10.1117/12.2075007
Show Author Affiliations
Alexander I. Ryumkin, Tomsk State Univ. (Russian Federation)
Mikhail M. Kabanov, Tomsk State Univ. (Russian Federation)
Institute of Monitoring of Climatic and Ecological Systems (Russian Federation)
Sergey N. Kapustin, Tomsk State Univ. (Russian Federation)
Institute of Monitoring of Climatic and Ecological Systems (Russian Federation)


Published in SPIE Proceedings Vol. 9292:
20th International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics
Oleg A. Romanovskii, Editor(s)

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