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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.

Full text not available from this repository.


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 AuthorsAuthor's ORCID iDORCID Put Code
Olesiuk, DawidUniversity of WarsawUNSPECIFIEDUNSPECIFIED
Bachmann, MartinUNSPECIFIEDhttps://orcid.org/0000-0001-8381-7662UNSPECIFIED
Habermeyer, MartinUNSPECIFIEDhttps://orcid.org/0009-0002-6364-2484UNSPECIFIED
Heldens, WiekeUNSPECIFIEDhttps://orcid.org/0000-0001-6209-5664UNSPECIFIED
Zagajewski, BogdanUniversity of WarsawUNSPECIFIEDUNSPECIFIED
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:
EditorsEmailEditor's ORCID iDORCID Put Code
Baranowski, MarekUNEP/GRID WarsawUNSPECIFIEDUNSPECIFIED
Gazdzicki, JerzyPolish Association for Spatial InformationUNSPECIFIEDUNSPECIFIED
Michalak, JanuszPolish Association for Spatial InformationUNSPECIFIEDUNSPECIFIED
Musial, EwaPolish Association for Spatial InformationUNSPECIFIEDUNSPECIFIED
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:28 Mar 2023 23:38

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