A Building Reconstruction Method Integrated with LiDAR and DLG

DOI

10.2991/rsete.2013.168How to use a DOI?

Keywords

point cloud, building reconstruction, histogram threshold, Kriging interpolation

Abstract

Using airborne light detection and ranging (LiDAR) point cloud data for building reconstruction, is widely used in urban construction, planning and dynamic monitoring, etc. So far, it is still difficult to applied in rapid modeling in large areas. In this study, based on the GIS platform, with the utilization of large scale digital line graph (DLG) combined with airborne LiDAR point cloud data, a rapid modeling method is established. The basic idea is to segment point cloud through histogram threshold analysis and DTM test, then to extract elevation from point cloud by the use of DLG, finally to build the 3D model. In study area, by comparing the different density of the point cloud, result shows that the combination of DLG and airborne LiDAR point cloud, can effectively increase the speed of extracting building elevation information in a large area, so as to achieve the aim of rapid modeling. This approach requires lower density of points than the previous approaches. This study can be widely applied in urban planning, intensive land-use and other aspects.

Copyright

© 2013, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Zongren Jia
AU  - Xinqi Zheng
AU  - Yi-bo Sun
AU  - Gang Ai
PY  - 2013/08
DA  - 2013/08
TI  - A Building Reconstruction Method Integrated with LiDAR and DLG
BT  - Proceedings of the 2013 the International Conference on Remote Sensing, Environment and Transportation Engineering (RSETE 2013)
PB  - Atlantis Press
SP  - 692
EP  - 695
SN  - 1951-6851
UR  - https://doi.org/10.2991/rsete.2013.168
DO  - 10.2991/rsete.2013.168
ID  - Jia2013/08
ER  -