Taubenböck, Hannes and Esch, Thomas and Roth, Achim
An urban classification approach based on an object-oriented analysis of high resolution satellite imagery for a spatial structuring within urban areas.
In: Proceedings on CD-ROM.
First Workshop of the EARSeL Special Interest Group on Urban Remote Sensing "Challenges and Solutions", 2006-01-03 - 2006-03-03, Humboldt University Berlin.
Classifying the complex structures of urban morphology from high resolution remote sensing imagery comprises difficulties due to their spectral and spatial heterogeneity. This paper presents a methodology allowing derivation of area-wide spatial information meaningful for city planning and management from IKONOS imagery. The initial point is a stable segmentation for an object-oriented approach to derive a thematic land cover classification. The classification methodology – which is predominantly based on shape and neighbourhood related features - is exemplified by the extraction of roads with a region-growing rule base. The approach follows the assumption that objects representing real world structures correspond in any urban area. Finally, the urban land cover classification is used to compute a spatial distribution of built-up densities within the city and to map homogeneous zones or structures of urban morphology. The aim apart from the information on urban morphology is to derive indirectly standard socio-economic data for further support of city management and planning. The result shows an allocation of different urban zones within the city of Istanbul with an accuracy of 82% compared to a digitized layer based on visual classification.
|Document Type:||Conference or Workshop Item (Paper)|
|Additional Information:||published on CD-ROM; Abstract Book S. -|
|Title:||An urban classification approach based on an object-oriented analysis of high resolution satellite imagery for a spatial structuring within urban areas|
|Authors||Institution or Email of Authors|
|Journal or Publication Title:||Proceedings on CD-ROM|
|In ISI Web of Science:||No|
|The European Association of Remote Sensing Laboratories EARSeL, ||UNSPECIFIED|
|Keywords:||urban remote sensing, zoning, object-oriented classification approach, segmentation|
|Event Title:||First Workshop of the EARSeL Special Interest Group on Urban Remote Sensing "Challenges and Solutions"|
|Event Location:||Humboldt University Berlin|
|Event Type:||international Conference|
|Event Dates:||2006-01-03 - 2006-03-03|
|Organizer:||The European Association of Remote Sensing Laboratories and Humboldt University Berlin|
|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)|
|Institutes and Institutions:||German Remote Sensing Data Center > Environment and Security > Environment and Geoinformation|
Dr. Hannes Taubenböck
|Deposited On:||20 Mar 2006|
|Last Modified:||12 Dec 2013 20:10|
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