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Classification of urban structural types with multisource data and structured models

Poncet Montages, Arnaud and Moser, Gabriele and Taubenböck, Hannes and Wurm, Michael and Tuia, Devis (2015) Classification of urban structural types with multisource data and structured models. Joint Urban Remote Sensing Event 2015 (JURSE 2015), 30. Mar. - 01. Apr. 2015, Lausanne, Switzerland. DOI: 10.1109/JURSE.2015.7120489

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Official URL: http://www.jurse2015.org/proceedings


In this paper, we study the land use distribution of the city of Munich, Germany. We describe the city as a set of Urban Structural Types (UST) related to the type of spatial patterns occurring within regions composed of 200m side cells. To do so, we resort to a set of multimodal descriptors extracted from remote sensing data, a 3D city model and open access vector information. Based on these descriptors, we train a SVM classifier and apply two structured prediction models to enforce spatial relationships (Markov and Conditional Random fields).

Item URL in elib:https://elib.dlr.de/96197/
Document Type:Conference or Workshop Item (Speech)
Title:Classification of urban structural types with multisource data and structured models
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Poncet Montages, ArnaudEPFLUNSPECIFIED
Moser, GabrieleUni GenuaUNSPECIFIED
Taubenböck, Hanneshannes.taubenboeck (at) dlr.deUNSPECIFIED
Wurm, Michaelmichael.wurm (at) dlr.deUNSPECIFIED
Date:April 2015
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In ISI Web of Science:No
DOI :10.1109/JURSE.2015.7120489
Page Range:pp. 1-4
Tuia, DevisEPFL
Kaiser, ChristianUni Lausanne
Keywords:urban structure types (UST), SVM, Markov Random Fields
Event Title:Joint Urban Remote Sensing Event 2015 (JURSE 2015)
Event Location:Lausanne, Switzerland
Event Type:international Conference
Event Dates:30. Mar. - 01. Apr. 2015
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 Zivile Kriseninformation und Georisiken (old)
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center > Geo Risks and Civil Security
Deposited By: Wurm, Michael
Deposited On:18 Jun 2015 09:34
Last Modified:19 Jun 2015 12:50

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