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Earth‐Observation Data Access: A Knowledge Discovery Concept for Payload Ground Segments

Espinoza-Molina, Daniela and Datcu, Mihai (2013) Earth‐Observation Data Access: A Knowledge Discovery Concept for Payload Ground Segments. In: Proceedings of ESA Living Planet Symposium 2013, SP-722, pp. 1-5. ESA spacebooks online. ESA Living Planet Symposium 2013, 9.-13.9.2013, Edinburgh, UK. ISBN 978-92-9221-286-5 ISSN 1609-042X

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Official URL: http://www.livingplanet2013.org/abstracts/850321.htm


In recent years the ability to store large quantities of Earth Observation (EO) satellite images has greatly surpassed the ability to access and meaningfully extract information from it. The state-of-the-art of operational systems for Remote Sensing data access (in particular for images) allows queries by geographical location, time of acquisition or type of sensor. Nevertheless, this information is often less relevant than the content of the scene (e.g. specific scattering properties, structures, objects, etc.). Moreover, the continuous increase in the size of the archives and in the variety and complexity of EO sensors require new methodologies and tools - based on a shared knowledge - for information mining and management, in support of emerging applications (e.g.: change detection, global monitoring, disaster and risk management, image time series, etc.). In addition, the current Payload Ground Segments (PGS) are mainly designed for Long Term Data Preservation (LTDP), in this article we propose an alternative solution for enhancing the access to the data content. Our solution presents a knowledge discovery concept, whose intention is to implement a communication channel between the PGS (EO data sources) and the end-user who receives the content of the data sources coded in an understandable format associated with semantics and ready for the exploitation. The first implemented concepts were presented in Knowledge driven content based Image Information Mining (KIM) and Geospatial Information Retrieval and Indexing (GeoIRIS) system as examples of data mining systems. Our new concept is developed in a modular system composed of the following components 1) the data model generation implementing methods for extracting relevant descriptors (low-level features) of the sources (EO images), analyzing their metadata in order to complement the information, and combining with vector data sources coming from Geographical Information Systems. 2) A database management system, where the database structure supports the knowledge management, feature computation, and visualization tools because of the modules for analysis, indexing, training and retrieval are resolved into the database. 3) Data mining and knowledge discovery tools allowing the end-user to perform advanced queries and to assign semantic annotations to the image content. The low-level features are complemented with semantic annotations giving meaning to the image information. The semantic description is based on semi-supervised learning methods for spatio-temporal and contextual pattern discovery. 4) Scene understanding counting on annotation tools for helping the user to create scenarios using EO images as for example change detection analysis, etc. 5) Visual data mining providing Human-Machine Interfaces for navigating and browsing the archive using 2D or 3D representation. The visualization techniques perform an interactive loop in order to optimize the visual interaction with huge volumes of data of heterogeneous nature and the end-user.

Item URL in elib:https://elib.dlr.de/89031/
Document Type:Conference or Workshop Item (Speech)
Additional Information:presented by M. Babaee http://www.spacebooks-online.com/product_info.php?products_id=17572
Title:Earth‐Observation Data Access: A Knowledge Discovery Concept for Payload Ground Segments
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Espinoza-Molina, Danieladaniela.espinozamolina (at) dlr.deUNSPECIFIED
Datcu, Mihaimihai.datcu (at) dlr.deUNSPECIFIED
Journal or Publication Title:Proceedings of ESA Living Planet Symposium 2013
Refereed publication:No
Open Access:Yes
Gold Open Access:No
In ISI Web of Science:No
Page Range:pp. 1-5
Publisher:ESA spacebooks online
Keywords:Earth-Observation Data Access
Event Title:ESA Living Planet Symposium 2013
Event Location:Edinburgh, UK
Event Type:international Conference
Event Dates:9.-13.9.2013
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 On:07 May 2014 13:57
Last Modified:31 Jul 2019 19:46

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