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An urban classification approach based on an object-oriented analysis of high resolution satellite imagery for a spatial structuring within urban areas

Taubenböck, Hannes and Esch, Thomas and Roth, Achim (2006) 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.

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Abstract

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.

Item URL in elib:https://elib.dlr.de/22591/
Document Type:Conference or Workshop Item (Paper)
Additional Information:published on CD-ROM; Abstract Book S. [74]-[75]
Title:An urban classification approach based on an object-oriented analysis of high resolution satellite imagery for a spatial structuring within urban areas
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Taubenböck, HannesUNSPECIFIEDUNSPECIFIED
Esch, ThomasUNSPECIFIEDUNSPECIFIED
Roth, AchimUNSPECIFIEDUNSPECIFIED
Date:2006
Journal or Publication Title:Proceedings on CD-ROM
Refereed publication:No
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Editors:
EditorsEmail
The European Association of Remote Sensing Laboratories EARSeL, UNSPECIFIED
Status:Published
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)
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center > Environment and Security > Environment and Geoinformation
Deposited By: Taubenböck, Dr. Hannes
Deposited On:20 Mar 2006
Last Modified:31 Jul 2019 19:16

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