DocumentCode
2989562
Title
A research on 3D reconstruction of building rooftop models from LiDAR data and orthophoto
Author
Tong, Lihua ; Li, Manchun ; Chen, Yanming ; Wang, Yafei ; Zhang, Wen ; Cheng, Liang
Author_Institution
Dept. of Geogr. Inf. Sci., Nanjing Univ., Nanjing, China
fYear
2012
fDate
15-17 June 2012
Firstpage
1
Lastpage
5
Abstract
A new method for 3D reconstruction of building rooftop models from LiDAR data and orthophto is proposed. The main contributions of this method include a triangular cluster - based algorithm for rooftop patch segmentation and a strategy to extract ridge lines of rooftop patches by the integration of LiDAR data and orthophoto. The process consists of a consequence of three steps. Firstly, a Delaunay triangular network is constructed from LiDAR data and a triangular cluster - based segmentation is executed to separate rooftop patches from this triangular network. Ridge lines of rooftops are then extracted by overlaying the extracted lines from orthophoto and the segmented rooftop patches. Finally, 3D rooftop models are reconstructed with the segmented rooftop patches and the extracted ridge lines. The experiment demonstrates that this proposed method can construct 3D building rooftop models with high correctness, completeness and geometric accuracy. For the reconstructed 3D rooftop models in test area 1 and 2, the correctness are 86%, 90%, respectively; the completeness are 85%, 88%, respectively; the positioning precision are 0.39m, 0.31m, respectively.
Keywords
geophysical image processing; geophysical techniques; image segmentation; 3D reconstruction; Delaunay triangular network; LiDAR data; building rooftop models; extracted ridge lines; orthophto; rooftop patch segmentation; triangular cluster-based algorithm; Image reconstruction; Integrated circuits; 3D rooftop models; LiDAR; Orthophoto; Ridge lines; Triangular cluster;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoinformatics (GEOINFORMATICS), 2012 20th International Conference on
Conference_Location
Hong Kong
ISSN
2161-024X
Print_ISBN
978-1-4673-1103-8
Type
conf
DOI
10.1109/Geoinformatics.2012.6270277
Filename
6270277
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