Shaping polyhedral buildings by the fusion of vector maps and lidar point clouds

Liang Chien Chen, Tee Ann Teo, Chih Yi Kuo, Jiann-Yeou Rau

Research output: Contribution to journalArticle

26 Citations (Scopus)

Abstract

We integrate lidar point clouds and large-scale vector maps to perform building modeling. The proposed scheme comprises three major steps: (a) the preprocessing of lidar point clouds and vector maps, (b) roof analysis, and (c) building reconstruction. During the preprocessing stage, the building polygons are first obtained from the polylines, followed by the selections of lidar points in the building polygons. An irregular triangulated network is then built to represent the facets. The segmentation of planar facets for roof analysis is implemented by examining the patch size and the facet orientation. The interior 3D roof edges are then determined from the intersection of the roof planes. Finally, the building models are reconstructed through regularization. Two sample sites are tested for the purposes of validation. The experimental results indicate that the proposed scheme allows for high fidelity and accuracy, provided that the point cloud density is enough.

Original languageEnglish
Pages (from-to)1147-1157
Number of pages11
JournalPhotogrammetric Engineering and Remote Sensing
Volume74
Issue number9
DOIs
Publication statusPublished - 2008 Jan 1

Fingerprint

Optical radar
lidar
Roofs
roof
Fusion reactions
polygon
triangulated irregular network
patch size
segmentation
modeling
analysis

All Science Journal Classification (ASJC) codes

  • Computers in Earth Sciences

Cite this

Chen, Liang Chien ; Teo, Tee Ann ; Kuo, Chih Yi ; Rau, Jiann-Yeou. / Shaping polyhedral buildings by the fusion of vector maps and lidar point clouds. In: Photogrammetric Engineering and Remote Sensing. 2008 ; Vol. 74, No. 9. pp. 1147-1157.
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Shaping polyhedral buildings by the fusion of vector maps and lidar point clouds. / Chen, Liang Chien; Teo, Tee Ann; Kuo, Chih Yi; Rau, Jiann-Yeou.

In: Photogrammetric Engineering and Remote Sensing, Vol. 74, No. 9, 01.01.2008, p. 1147-1157.

Research output: Contribution to journalArticle

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