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An automated and adaptable approach for characterizing and portioning cities into urban structure types

Bochow, Mathias and Taubenböck, Hannes and Segl, Karl and Kaufmann, Hermann (2010) An automated and adaptable approach for characterizing and portioning cities into urban structure types. In: 2010 IEEE International Geoscience and Remote Sensing Symposium Proceedings, pp. 1796-1799. IGARSS , 25.-30. July , Honululu, USA. ISBN 978-1-4244-9564-1.

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Abstract

Recently a growing number of investigations is dealing with the characterization and partitioning of urban agglomera-tions into urban structure types (USTs) based on remote sensing data. Since the USTs of interest are usually chosen with respect to the research question, application and type of urban agglomeration there is a need for a flexible and adapt-able approach for automatic UST classification. In this study we identify the commonalities of published approaches and derive requirements and tasks to deal with in UST classifica-tion. Based on this, we focus on the development of a UST classification system that is highly automated, flexible and adaptable to enable a wide applicability.

Document Type:Conference or Workshop Item (Speech, Paper)
Title:An automated and adaptable approach for characterizing and portioning cities into urban structure types
Authors:
AuthorsInstitution or Email of Authors
Bochow, MathiasGFZ Potsdam
Taubenböck, Hanneshannes.taubenboeck@dlr.de
Segl, KarlGFZ Potsdam
Kaufmann, HermannGFZ Potsdam
Date:2010
Journal or Publication Title:2010 IEEE International Geoscience and Remote Sensing Symposium Proceedings
Refereed publication:No
In ISI Web of Science:No
Page Range:pp. 1796-1799
ISBN:978-1-4244-9564-1
Status:Published
Keywords:Urban remote sensing, urban strcuture types, Classification
Event Title:IGARSS
Event Location:Honululu, USA
Event Type:international Conference
Event Dates:25.-30. July
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: Dr. Hannes Taubenböck
Deposited On:09 Feb 2011 19:22
Last Modified:29 Jul 2013 09:52

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