Joint combination of point cloud and DSM for 3D building reconstruction using airborne laser scanner data.

Fayez Tarsha-Kurdi (1) , Tania Landes (1) , Pierre Grussenmeyer (1)

1 MAP - Modèles et simulation pour l'architecture, l'urbanisme et le paysage

More and more cities are looking for service
providers able to deliver 3D city models in a short time.
Airborne laser scanning techniques make it possible to acquire
a three-dimensional point cloud leading almost instantaneously
to Digital Surface Models (DSM), but these models are far
from a topological 3D model needed by geographers or land
surveyors. The aim of this paper is to present the pertinence
and advantages of combining simultaneously the point cloud
and the normalized DSM (nDSM) in the main steps of a
building reconstruction approach. This approach has been
implemented in order to exempt any additional data and to
automate the process. The proposed workflow firstly extracts
the off-terrain mask based on DSM. Then, it combines the
point cloud and the DSM for extracting a building mask from
the off-terrain. At last, based on the previously extracted
building mask, the reconstruction of 3D flat roof models is
carried out and analyzed.

Mots clés: 3D; laser scanner

Domaines: Architecture, aménagement de l'espace

Fayez Tarsha-Kurdi, Tania Landes, Pierre Grussenmeyer. Joint combination of point cloud and DSM for 3D building reconstruction using airborne laser scanner data.. 4th IEEE GRSS, Apr 2007, Paris, France. pp.1-7. ⟨halshs-00264859⟩