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Proceedings Paper

Automatic structure detection in a point-cloud of buildings obtained by terrestrial laser scanning
Author(s): Qingming Zhan; Qiancong Pang; Wenzhong Shi
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Paper Abstract

In recent years, terrestrial laser scanner (TLS) has become a popular data acquisition tool for producing irregularly-spaced point clouds as well as airborne laser scanning (ALS). Automated detection of structures (roof and ground etc.) based on the point cloud analysis of buildings has become increasingly important. One of the most demanding tasks in TLS is the filtering of the ground and roofs in TLS point clouds. This paper proposes a method for detecting buildings' structures from an irregularly-spaced point-cloud. This method is consisted of segmentation and classification. As the previously developed the segmentation methods can not be applied to it directly, it has to perform twice pre-filtration so as to proceed to further calculation for segmentation and classification. More importantly the algorithm is extensible and future work will further strengthen the algorithm.

Paper Details

Date Published: 15 November 2007
PDF: 6 pages
Proc. SPIE 6786, MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition, 67862R (15 November 2007); doi: 10.1117/12.774718
Show Author Affiliations
Qingming Zhan, Wuhan Univ. (China)
Qiancong Pang, Wuhan Univ. (China)
Wenzhong Shi, Hong Kong Polytechnic Univ. (Hong Kong China)


Published in SPIE Proceedings Vol. 6786:
MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition

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