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A data-driven approach to quality assessment for hyperspectral systems

Kerr, Grégoire Henry Gérard and Fischer, Christian and Reulke, Ralf (2015) A data-driven approach to quality assessment for hyperspectral systems. Computers & Geosciences, pp. 100-109. Elsevier. ISSN 0098-3004

Full text not available from this repository.

Official URL: http://dx.doi.org/10.1016/j.cageo.2015.07.004


Item URL in elib:https://elib.dlr.de/116865/
Document Type:Article
Title:A data-driven approach to quality assessment for hyperspectral systems
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Kerr, Grégoire Henry GérardUNSPECIFIEDUNSPECIFIED
Fischer, ChristianInstitut für Optische SensorsystemeUNSPECIFIED
Reulke, RalfInstitut für Optische SensorsystemeUNSPECIFIED
Date:2015
Journal or Publication Title:Computers & Geosciences
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
Page Range:pp. 100-109
Publisher:Elsevier
ISSN:0098-3004
Status:Published
Keywords:Airborne remote sensing, HyperspectralI imaging, spectroscopy, Quality assessment
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 Optische Technologien und Anwendungen
Location: Berlin-Adlershof
Institutes and Institutions:Institute of Optical Sensor Systems
Deposited By: Dombrowski, Ute
Deposited On:14 Dec 2017 09:30
Last Modified:08 Mar 2018 18:18

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