This paper describes a process for the automated generation of 3D buildings using 2D building footprints derived from cadastral maps and LIDAR point cloud data. In our approach we extract relevant geometric information from 2D building footprints in order to classify point cloud data. One key concept is the fact that roofs in most cases are aligned to the angles of the walls of a building. This concept is utilized to create contiguous surfaces and to extract ridges. In a field study involving two historic city centers in Switzerland we evaluate the results of our approach.
Titre
Automated reconstruction of 3D buildings in historic city centers from LIDAR data and 2D building footprints
Date
2018-09
Publié dans
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume IV-4/W6, 2018 13th 3D GeoInfo Conference, Delft, The Netherlands, 1–2 October 2018
Volume
2018, IV-4/W6, pp. 19-23
Editeur
Delft, The Netherlands, 1-2 October 2018
Pagination
5 p.
Présenté à
13th 3D GeoInfo Conference, Delft {2628 CC}, The Netherlands, 2018-10-01, 2018-10-02
Type de papier
full paper
Domaine
Ingénierie et Architecture
Ecole
HEIG-VD
Institut
insit - Institut d’ingénierie du territoire