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TWOPAC: Twinned Object- and Pixel-based Automated Classification – a tool for supervised image classification

Huth, Juliane and Ahrens, Malte and Künzer, Claudia (2014) TWOPAC: Twinned Object- and Pixel-based Automated Classification – a tool for supervised image classification. 5th workshop of the EARSeL Special Interest Group on Land Use and Land Cover, 17.-18. März 2014, Berlin, Germany.

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Item URL in elib:https://elib.dlr.de/89890/
Document Type:Conference or Workshop Item (Poster)
Title:TWOPAC: Twinned Object- and Pixel-based Automated Classification – a tool for supervised image classification
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Huth, Julianejuliane.huth (at) dlr.deUNSPECIFIED
Ahrens, MalteMalte.Ahrens (at) dlr.deUNSPECIFIED
Künzer, ClaudiaClaudia.Kuenzer (at) dlr.deUNSPECIFIED
Date:17 March 2014
Refereed publication:No
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Published
Keywords:image classification, TWOPAC, processing tool, land cover and land use, server and desktop environment
Event Title:5th workshop of the EARSeL Special Interest Group on Land Use and Land Cover
Event Location:Berlin, Germany
Event Type:international Conference
Event Dates:17.-18. März 2014
Organizer:Department of Geography of Humboldt-Universität zu Berlin, Germany
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 Fernerkundung der Landoberfläche (old)
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center > Land Surface
Deposited By: Huth, Juliane
Deposited On:28 Jul 2014 08:33
Last Modified:28 Jul 2014 08:35

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