Improving knowledge discovery from synthetic aperture radar images using the linked open data cloud and Sextant
Authors: 
Charalampos Nikolaou
Authors: 
Kostis Kyzirakos
Authors: 
Konstantina Bereta
Authors: 
Kalliroi Dogani
Authors: 
Stella Giannakopoulou
Authors: 
Panayiotis Smeros
Authors: 
George Garbis
Authors: 
Manolis Koubarakis
Authors: 
Daniela-Espinoza Molina
Authors: 
Corneliu Dumitru
Authors: 
Gottfried Schwarz
Authors: 
Mihai Datcu
Date published: 
2014
Published In: 
In the Image Information Mining Conference: The Sentinels Era (ESA-EUSC-JRC 2014). Bucharest, Romania, 5-7 March
Type: 
Conference Article
Abstract: 
In the last few years, thanks to projects like TELEIOS, the linked open data cloud has been rapidly populated with geospatial data some of it describing Earth Observation products (e.g., CORINE Land Cover, Urban Atlas). The abundance of this data can prove very useful to the new missions (e.g., Sentinels) as a means to increase the usability of the millions of images and EO products that are expected to be produced by these missions. In this paper, we explain the relevant opportunities by demonstrating how the process of knowledge discovery from TerraSAR-X images can be improved using linked open data and Sextant, a tool for browsing and exploration of linked geospatial data, as well as the creation of thematic maps.
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