TY - GEN
T1 - Classification of urban structural types with multisource data and structured models
AU - Montanges, Arnaud Poncet
AU - Moser, Gabriele
AU - Taubenböck, Hannes
AU - Wurm, Michael
AU - Tuia, Devis
PY - 2015/6/9
Y1 - 2015/6/9
N2 - 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).
AB - 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).
U2 - 10.1109/JURSE.2015.7120489
DO - 10.1109/JURSE.2015.7120489
M3 - Conference paper
AN - SCOPUS:84938826532
SN - 9781479966523
T3 - 2015 Joint Urban Remote Sensing Event, JURSE 2015
BT - 2015 Joint Urban Remote Sensing Event, JURSE 2015
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2015 Joint Urban Remote Sensing Event, JURSE 2015
Y2 - 30 March 2015 through 1 April 2015
ER -