Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/15455
Title: Automatic structure detection in a point-cloud of buildings obtained by terrestrial laser scanning
Authors: Zhan, Q
Pang, Q
Shi, W 
Keywords: Classification
Point clouds
Reconstruction
Segmentation
Issue Date: 2007
Publisher: SPIE-International Society for Optical Engineering
Source: Proceedings of SPIE : the International Society for Optical Engineering, 2007, v. 6786, 67862R How to cite?
Journal: Proceedings of SPIE : the International Society for Optical Engineering 
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.
Description: MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition, Wuhan, 15-17 November 2007
URI: http://hdl.handle.net/10397/15455
ISBN: 9780819469502
ISSN: 0277-786X
EISSN: 1996-756X
DOI: 10.1117/12.774718
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