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Crop classification with neural networks using airborne hyperspectral imagery

Olesiuk, Dawid and Bachmann, Martin and Habermeyer, Martin and Heldens, Wieke and Zagajewski, Bogdan (2009) Crop classification with neural networks using airborne hyperspectral imagery. In: Annals of Geomatics, VII (2(32)). Polish Association for Spatial Information. pp. 107-112. ISSN 1731-5522

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Item URL in elib:https://elib.dlr.de/61562/
Document Type:Contribution to a Collection
Title:Crop classification with neural networks using airborne hyperspectral imagery
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Olesiuk, DawidUniversity of WarsawUNSPECIFIED
Bachmann, Martinmartin.bachmann (at) dlr.deUNSPECIFIED
Habermeyer, Martinmartin.habermeyer (at) dlr.deUNSPECIFIED
Heldens, WiekeWieke.Heldens (at) dlr.deUNSPECIFIED
Zagajewski, BogdanUniversity of WarsawUNSPECIFIED
Date:2009
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Volume:VII
Page Range:pp. 107-112
Editors:
EditorsEmail
Baranowski, MarekUNEP/GRID Warsaw
Gazdzicki, JerzyPolish Association for Spatial Information
Michalak, JanuszPolish Association for Spatial Information
Musial, EwaPolish Association for Spatial Information
Publisher:Polish Association for Spatial Information
Series Name:Annals of Geomatics
ISSN:1731-5522
Status:Published
Keywords:artificial neural networks, hyperspectral image, hyperspectral indices, MNF
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 Prozesse der Landoberfläche (old)
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center
Deposited By: Bachmann, Dr.rer.nat. Martin
Deposited On:15 Dec 2009 11:55
Last Modified:22 Apr 2013 08:54

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