Archivio Istituzionale della RicercaIn this paper we propose an innovative framework able to extract the perimeter of the rooftop of buildings from remote sensing images. The core features are derived from an existing algorithm which performs an automatic rooftop extraction in nadir aerial imagery. We significantly improve its performance by adding new characteristics in order to speed up the whole framework and as a result the system can achieve better performance in terms of both complexity reduction and capability of handling heterogeneous data sets.
An enhanced corner-based automatic rooftop extraction algorithm leveraging drlse segmentation / Zangrandi, M.; Baccaglini, Enrico; Boulard, LUCA MATTEO. - ELETTRONICO. - (2015), pp. 1024-1027. (Intervento presentato al convegno IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015 tenutosi a Milano, Italy nel 2015) [10.1109/IGARSS.2015.7325943].
An enhanced corner-based automatic rooftop extraction algorithm leveraging drlse segmentation
BACCAGLINI, ENRICO;BOULARD, LUCA MATTEO
2015
Abstract
In this paper we propose an innovative framework able to extract the perimeter of the rooftop of buildings from remote sensing images. The core features are derived from an existing algorithm which performs an automatic rooftop extraction in nadir aerial imagery. We significantly improve its performance by adding new characteristics in order to speed up the whole framework and as a result the system can achieve better performance in terms of both complexity reduction and capability of handling heterogeneous data sets.
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https://hdl.handle.net/11583/2644960
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