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Interactive Classification of Urban Areas Using Decision Trees

Abelen, S. and Taubenböck, Hannes and Stilla, U. (2011) Interactive Classification of Urban Areas Using Decision Trees. In: Proceedings of JURSE2011, pp. 373-376. JURSE 2011, 11.-13.Apr. 2011, München, Deutschland.

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Abstract

Conventionally decision trees are fixed structures for sequential classification, which are designed for certain regions and specific research questions. In heterogeneous and dynamic urban environments their broad application requires a continual change of their structure, which is time consuming and laborintensive. This study focuses on the development of a user interface to facilitate the interactive adaption of decision trees. The platform of the user interface is composed of fixed feature sets which are equally applied to all scenes. They are selected on the basis of the Transformed Divergence. The features’ thresholds are connected to controllers, which can be adapted by the user. For assessing the effectiveness of the user interface, its classification performance is compared to the one of a decision tree with fixed thresholds. By means of Landsat 7 imagery four land-cover classes are distinguished. Results show that in all analyzed test-sites the overall accuracy lies for adjusted thresholds above 80% and is by up to 33% higher than for fixed thresholds. Therefore the user interface proved to be more efficient in classifying a broad variety of scenes in urban environments than a decision tree with fixed thresholds.

Item URL in elib:https://elib.dlr.de/69610/
Document Type:Conference or Workshop Item (Paper, Poster)
Title:Interactive Classification of Urban Areas Using Decision Trees
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Abelen, S.UNSPECIFIEDUNSPECIFIED
Taubenböck, Hanneshannes.taubenboeck (at) dlr.deUNSPECIFIED
Stilla, U.Photogrammetry and Remote Sensing, Technische Universitaet Muenchen (TUM), Munich, GermanyUNSPECIFIED
Date:11 April 2011
Journal or Publication Title:Proceedings of JURSE2011
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Page Range:pp. 373-376
Editors:
EditorsEmail
Stilla, U.UNSPECIFIED
Gamba, P.UNSPECIFIED
Jürgens, C.UNSPECIFIED
Maktav, D.UNSPECIFIED
Status:Published
Keywords:Urban remote sensing, classification, decision tree
Event Title:JURSE 2011
Event Location:München, Deutschland
Event Type:international Conference
Event Dates:11.-13.Apr. 2011
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 Geowissenschaftl. Fernerkundungs- und GIS-Verfahren (old)
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center > Land Surface
Deposited By: Taubenböck, Dr. Hannes
Deposited On:09 May 2011 12:51
Last Modified:31 Jul 2019 19:31

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