Classification of urban structural types with multisource data and structured models

Arnaud Poncet Montanges, Gabriele Moser, Hannes Taubenböck, Michael Wurm, Devis Tuia

Research output: Chapter in Book/Report/Conference proceedingConference paper

16 Citations (Scopus)

Abstract

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).

Original languageEnglish
Title of host publication2015 Joint Urban Remote Sensing Event, JURSE 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Print)9781479966523
DOIs
Publication statusPublished - 9 Jun 2015
Externally publishedYes
Event2015 Joint Urban Remote Sensing Event, JURSE 2015 - Lausanne, Switzerland
Duration: 30 Mar 20151 Apr 2015

Publication series

Name2015 Joint Urban Remote Sensing Event, JURSE 2015

Conference

Conference2015 Joint Urban Remote Sensing Event, JURSE 2015
CountrySwitzerland
CityLausanne
Period30/03/151/04/15

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