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Improved Earth Observation Data Retrieval through Hashing Algorithms

Grivei, Alexandru-Cosmin and Vaduva, Corina and Datcu, Mihai (2019) Improved Earth Observation Data Retrieval through Hashing Algorithms. IGARSS 2019, 28 Jul-02 Aug 2019, Yokohama, Japan.

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Official URL: https://igarss2019.org/Papers/AbstractSearch.asp?show=search


Throughout the years, a wide range of satellite mission enabled the creation of a huge amount of Earth Observation (EO) data carrying complex information, whose exploitation is left behind due to the lack of handling capabilities. Computational resources are hardly keeping up with content analysis and information retrieval. In order to increase the search speed through data warehouses for knowledge discovery, new indexing methods are required to handle both the size and the informational complexity of EO data. Feature extraction algorithms are able to describe the image content, yet, they require a very complex database. In this paper, we propose a methodology that combines feature extraction, hashing methods and optimized indexing to convert the images characteristics into hash codes in an effort to speed up the search process. For our experiments, we run our procedure on a data-set composed of several Sentinel-2 acquisitions form across Europe and we assess the query times.

Item URL in elib:https://elib.dlr.de/130550/
Document Type:Conference or Workshop Item (Speech)
Title:Improved Earth Observation Data Retrieval through Hashing Algorithms
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Grivei, Alexandru-CosminUniversity Politehnica BucharestUNSPECIFIED
Vaduva, CorinaPolitehnica University of Bucharest, RomaniaUNSPECIFIED
Datcu, MihaiMihai.Datcu (at) dlr.deUNSPECIFIED
Date:31 January 2019
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In ISI Web of Science:No
Page Range:pp. 1-4
Keywords:image hashing, Earth Observation, database queries, content based image retrieval
Event Title:IGARSS 2019
Event Location:Yokohama, Japan
Event Type:international Conference
Event Dates:28 Jul-02 Aug 2019
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 > EO Data Science
Deposited By: Karmakar, Chandrabali
Deposited On:04 Dec 2019 14:40
Last Modified:04 Dec 2019 14:40

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