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.
Title
Automated reconstruction of 3D buildings in historic city centers from LIDAR data and 2D building footprints
Date
2018-09
Published in
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
Publisher
Delft, The Netherlands, 1-2 October 2018
Pagination
5 p.
Presented at
13th 3D GeoInfo Conference, Delft {2628 CC}, The Netherlands, 2018-10-01, 2018-10-02
Paper type
full paper
Faculty
Ingénierie et Architecture
School
HEIG-VD
Institute
insit - Institut d’ingénierie du territoire