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Very-High-Resolution SAR Images and Linked Open Data Analytics Based on Ontologies

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/
Document Type:Article
Additional Information:Article#: 2371138
Title:Very-High-Resolution SAR Images and Linked Open Data Analytics Based on Ontologies
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Espinoza-Molina, Danieladaniela.espinozamolina (at) dlr.deUNSPECIFIED
Nikolaou, CharalamposNational and Kapodistrian University of Athens, Athens, GreeceUNSPECIFIED
Dumitru, Corneliucorneliu.dumitru (at) dlr.deUNSPECIFIED
Bereta, KonstantinaNational and Kapodistrian University of Athens, Athens, GreeceUNSPECIFIED
Koubarakis, ManolisNational and Kapodistrian University of Athens, Athens, GreeceUNSPECIFIED
Schwarz, Gottfriedgottfried.schwarz (at) dlr.deUNSPECIFIED
Datcu, Mihaimihai.datcu (at) dlr.deUNSPECIFIED
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:
EditorsEmail
Chanussot, Jocelynjocelyn.chanussot@gipsa-lab.grenoble-inp.fr
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 - Erdbeobachtung
DLR - Research theme (Project):R - Vorhaben hochauflösende Fernerkundungsverfahren
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:31 Jul 2019 19:50

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