15 November 2007 Automatic structure detection in a point-cloud of buildings obtained by terrestrial laser scanning
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Proceedings Volume 6786, MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition; 67862R (2007) https://doi.org/10.1117/12.774718
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China
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.
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Qingming Zhan, Qingming Zhan, Qiancong Pang, Qiancong Pang, Wenzhong Shi, Wenzhong Shi, } "Automatic structure detection in a point-cloud of buildings obtained by terrestrial laser scanning", Proc. SPIE 6786, MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition, 67862R (15 November 2007); doi: 10.1117/12.774718; https://doi.org/10.1117/12.774718
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