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Algorithmic Information Theory-Based Analysis of Earth Observation Images: An Assessment

Cerra, Daniele and Mallet, Alexandre and Gueguen, Lionel and Datcu, Mihai (2010) Algorithmic Information Theory-Based Analysis of Earth Observation Images: An Assessment. IEEE Geoscience and Remote Sensing Letters, 7 (1), pp. 8-12. IEEE - Institute of Electrical and Electronics Engineers. DOI: 10.1109/LGRS.2009.2020349

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

Abstract

Earth observation images can be analyzed by a number of techniques. Information theory allows us to conceive algorithmic analyses of satellite images.

Item URL in elib:https://elib.dlr.de/60128/
Document Type:Article
Title:Algorithmic Information Theory-Based Analysis of Earth Observation Images: An Assessment
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Cerra, DanieleUNSPECIFIEDUNSPECIFIED
Mallet, AlexandreENST, ParisUNSPECIFIED
Gueguen, LionelENST, ParisUNSPECIFIED
Datcu, MihaiUNSPECIFIEDUNSPECIFIED
Date:2010
Journal or Publication Title:IEEE Geoscience and Remote Sensing Letters
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:7
DOI :10.1109/LGRS.2009.2020349
Page Range:pp. 8-12
Editors:
EditorsEmail
IEEE, XploreUNSPECIFIED
Publisher:IEEE - Institute of Electrical and Electronics Engineers
Status:Published
Keywords:remote sensing, images, image analysis, information theory
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 12:05
Last Modified:31 Jul 2019 19:25

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