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Abstract
Data cubes seem to be a promising methodological
development to deal with the big EO data challenge. The
Sentinel-2 Semantic Data Cube Austria (Sen2Cube.at) goes
beyond the current state-of-the-art and aims to build an
Austrian data & information cube. The main goal is to show
that semantic content-based image and information retrieval
is possible in big EO image databases, allowing users to query
and analyse EO data on a higher semantic level (i.e. based on
at least basic land cover units and encoded ontologies). This
includes: (1) fully automatic semantic enrichment of
Sentinel-2 images up to land cover types ready for semantic
content-based analysis; (2) the use of suitable database
technologies to develop spatio-temporal modelling and
querying techniques using encoded ontologies to decrease the
complexity of queries for user interaction; (3) a Web interface
for human-like queries based on semantic models of the
spatio-temporal 4D physical-world domain; and (4) the
demonstration of the potential of the generic data &
information cube in future service developments based on
different service types.
Originalsprache | Englisch |
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Titel | Proceedings of 2019 Big Data from Space (BiDS'19) |
Redakteure/-innen | Pierre Soille, Sveinung Loekken, Sergio Albani |
Herausgeber (Verlag) | Publications Office of the European Union |
Seiten | 65-68 |
Seitenumfang | 4 |
DOIs | |
Publikationsstatus | Veröffentlicht - 2019 |
Publikationsreihe
Name | |
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ISSN (elektronisch) | 1831-9424 |
Schlagwörter
- Remote sensing
- Big EO data
- data cube
Systematik der Wissenschaftszweige 2012
- 105 Geowissenschaften
Aktivitäten
- 1 Vortrag
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Sentinel-2 Semantic Data & Information Cube for Austria
Tiede, D. (Redner/in)
21 Feb. 2019Aktivität: Gastvortrag oder Vortrag › Vortrag › science to science / art to art