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An Innovative Concept for Image Information Mining

Datcu, Mihai and Seidel, Klaus (2003) An Innovative Concept for Image Information Mining. In: Lecture Notes in Computer Science: Mining Multimedia and Complex Data, 2003,, pp. 84 - 99, Springer-Verlag Heidelberg. Springer-Verlag, Heidelberg.

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The image archives are heterogeneous, huge data repositories, they are high complexity sources of valuable information, e.g. the Earth Observation data archives contain millions of optical, radar and other types of images and data. The exploration of their content is not an easy task. Among the promising methods proposed in the last years are the methods of data and information mining. However, accessing the image information content, in comparison with other data types, is rising higher complexity problems, residing mainly in the huge volume of data, the rich information content, and the subjectivity of the user interpretation. The present article makes an analysis of the Image Information Mining methods seen as an information transmission problem: the source of information is an image archive, the receiver is the community of users.

Item URL in elib:https://elib.dlr.de/8263/
Document Type:Contribution to a Collection
Additional Information: LIDO-Berichtsjahr=2004,
Title:An Innovative Concept for Image Information Mining
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Seidel, KlausETH ZürichUNSPECIFIED
Journal or Publication Title:Lecture Notes in Computer Science: Mining Multimedia and Complex Data, 2003,, pp. 84 - 99, Springer-Verlag Heidelberg.
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In ISI Web of Science:No
Springer-Verlag, HeidelbergUNSPECIFIED
Publisher:Springer-Verlag, Heidelberg
Keywords:Image Information Mining, Communication, EO data 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):UNSPECIFIED
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute
Deposited By: Roehl, Cornelia
Deposited On:16 Jan 2006
Last Modified:06 Jan 2010 22:33

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