Espinoza Molina, Daniela and Nikolaou, Charalampos and Dumitru, Corneliu and Bereta, Konstantina and Koubarakis, Manolis and Schwarz, Gottfried and Datcu, Mihai (2015) Very-High-Resolution SAR Images and Linked Open Data Analytics Based on Ontologies. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 8 (4), pp. 1696-1708. IEEE - Institute of Electrical and Electronics Engineers. doi: 10.1109/JSTARS.2014.2371138. ISSN 1939-1404.
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Official URL: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6981927
Abstract
In this paper, we deal with the integration of multiple sources of information such as Earth observation (EO) synthetic aperture radar (SAR) images and their metadata, semantic descriptors of the image content, as well as other publicly available geospatial data sources expressed as linked open data for posing complex queries in order to support geospatial data analytics. Our approach lays the foundations for the development of richer tools and applications that focus on EO image analytics using ontologies and linked open data. We introduce a system architecture where a common satellite image product is transformed from its initial format into to actionable intelligence information, which includes image descriptors, metadata, image tiles, and semantic labels resulting in an EO-data model. We also create a SAR image ontology based on our EO-data model and a two-level taxonomy classification scheme of the image content. We demonstrate our approach by linking high-resolution TerraSAR-X images with information from CORINE Land Cover (CLC), Urban Atlas (UA), GeoNames, and OpenStreetMap (OSM), which are represented in the standard triple model of the resource description frameworks (RDFs).
Item URL in elib: | https://elib.dlr.de/93695/ | ||||||||||||||||||||||||||||||||
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Document Type: | Article | ||||||||||||||||||||||||||||||||
Additional Information: | Article#: 2371138 | ||||||||||||||||||||||||||||||||
Title: | Very-High-Resolution SAR Images and Linked Open Data Analytics Based on Ontologies | ||||||||||||||||||||||||||||||||
Authors: |
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Date: | 2015 | ||||||||||||||||||||||||||||||||
Journal or Publication Title: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing | ||||||||||||||||||||||||||||||||
Refereed publication: | Yes | ||||||||||||||||||||||||||||||||
Open Access: | Yes | ||||||||||||||||||||||||||||||||
Gold Open Access: | No | ||||||||||||||||||||||||||||||||
In SCOPUS: | Yes | ||||||||||||||||||||||||||||||||
In ISI Web of Science: | Yes | ||||||||||||||||||||||||||||||||
Volume: | 8 | ||||||||||||||||||||||||||||||||
DOI: | 10.1109/JSTARS.2014.2371138 | ||||||||||||||||||||||||||||||||
Page Range: | pp. 1696-1708 | ||||||||||||||||||||||||||||||||
Editors: |
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Publisher: | IEEE - Institute of Electrical and Electronics Engineers | ||||||||||||||||||||||||||||||||
ISSN: | 1939-1404 | ||||||||||||||||||||||||||||||||
Status: | Published | ||||||||||||||||||||||||||||||||
Keywords: | Terms—Analytics, linked open data, queries, ontologies, resource description framework (RDFs), Strabon, TerraSAR-X images. | ||||||||||||||||||||||||||||||||
HGF - Research field: | Aeronautics, Space and Transport | ||||||||||||||||||||||||||||||||
HGF - Program: | Space | ||||||||||||||||||||||||||||||||
HGF - Program Themes: | Earth Observation | ||||||||||||||||||||||||||||||||
DLR - Research area: | Raumfahrt | ||||||||||||||||||||||||||||||||
DLR - Program: | R EO - Earth Observation | ||||||||||||||||||||||||||||||||
DLR - Research theme (Project): | R - Vorhaben hochauflösende Fernerkundungsverfahren (old) | ||||||||||||||||||||||||||||||||
Location: | Oberpfaffenhofen | ||||||||||||||||||||||||||||||||
Institutes and Institutions: | Remote Sensing Technology Institute > Photogrammetry and Image Analysis | ||||||||||||||||||||||||||||||||
Deposited By: | INVALID USER | ||||||||||||||||||||||||||||||||
Deposited On: | 17 Dec 2014 09:25 | ||||||||||||||||||||||||||||||||
Last Modified: | 27 Nov 2023 12:52 |
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