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System Design Considerations for Image Information Mining in Large Archives

Gomez, Ines and Datcu, Mihai (2010) System Design Considerations for Image Information Mining in Large Archives. IEEE Geoscience and Remote Sensing Letters, 7 (1), pp. 13-17. IEEE - Institute of Electrical and Electronics Engineers. DOI: 10.1109/LGRS.2009.2028439

Full text not available from this repository.

Official URL: http://ieeexplore.ieee.org

Abstract

Image mining in large databases calls for appropriate system design parameters.

Item URL in elib:https://elib.dlr.de/60121/
Document Type:Article
Title:System Design Considerations for Image Information Mining in Large Archives
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Gomez, InesINDRA, MadridUNSPECIFIED
Datcu, MihaiUNSPECIFIEDUNSPECIFIED
Date:2010
Journal or Publication Title:IEEE Geoscience and Remote Sensing Letters
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:7
DOI :10.1109/LGRS.2009.2028439
Page Range:pp. 13-17
Editors:
EditorsEmail
IEEE, XploreUNSPECIFIED
Publisher:IEEE - Institute of Electrical and Electronics Engineers
Status:Published
Keywords:images, data mining, archives
HGF - Research field:Aeronautics, Space and Transport (old)
HGF - Program:Space (old)
HGF - Program Themes:W EO - Erdbeobachtung
DLR - Research area:Space
DLR - Program:W EO - Erdbeobachtung
DLR - Research theme (Project):W - Vorhaben Bildwissenschaften (old)
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > Photogrammetry and Image Analysis
Deposited By: Schwarz, Gottfried
Deposited On:14 Oct 2009 12:13
Last Modified:08 Mar 2018 18:30

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