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:

Authors	Institution or Email of Authors	Authors ORCID iD
Huth, Juliane	juliane.huth (at) dlr.de	UNSPECIFIED
Ahrens, Malte	Malte.Ahrens (at) dlr.de	UNSPECIFIED
Künzer, Claudia	Claudia.Kuenzer (at) dlr.de	UNSPECIFIED

Date:

17 March 2014

Refereed publication:

Open Access:

Gold Open Access:

In SCOPUS:

In ISI Web of Science:

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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