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Classification of urban structural types with multisource data and structured models


Poncet-Montanges, Arnaud; Moser, Gabriele; Taubenbock, Hannes; Wurm, Michael; Tuia, Devis (2015). Classification of urban structural types with multisource data and structured models. In: 2015 Joint Urban Remote Sensing Event (JURSE 2015), Lausanne, 30 March 2015 - 1 April 2015. IEEE, 1-4.

Abstract

In this paper, we study the land use distri- bution 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).

Abstract

In this paper, we study the land use distri- bution 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).

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Additional indexing

Item Type:Conference or Workshop Item (Paper), not_refereed, original work
Communities & Collections:07 Faculty of Science > Institute of Geography
Dewey Decimal Classification:910 Geography & travel
Scopus Subject Areas:Physical Sciences > Computer Networks and Communications
Language:English
Event End Date:1 April 2015
Deposited On:14 Jan 2016 09:00
Last Modified:26 Jan 2022 08:01
Publisher:IEEE
ISBN:978-1479966530
Additional Information:Proceedings of a meeting held 30 March - 1 April 2015, Lausanne, Switzerland
OA Status:Closed
Free access at:Publisher DOI. An embargo period may apply.
Publisher DOI:https://doi.org/10.1109/JURSE.2015.7120489