Paper
25 November 2014 Ontologies in remote sensing data processing for urban area description
Alexander I. Ryumkin, Mikhail M. Kabanov, Sergey N. Kapustin
Author Affiliations +
Proceedings Volume 9292, 20th International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics; 92923Q (2014) https://doi.org/10.1117/12.2075007
Event: 20th International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics, 2014, Novosibirsk, Russian Federation
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.
© (2014) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Alexander I. Ryumkin, Mikhail M. Kabanov, and Sergey N. Kapustin "Ontologies in remote sensing data processing for urban area description", Proc. SPIE 9292, 20th International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics, 92923Q (25 November 2014); https://doi.org/10.1117/12.2075007
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KEYWORDS
Geographic information systems

Data modeling

Legal

Manufacturing

Remote sensing

Data processing

Data integration

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