The content of this article is from the "Surveying and Mapping Bulletin" No. 2, 2024, drawing review number: GS Jing (2024) No. 0287
An overall denoising method for shield tunnels based on point cloud space expansion
Shen Changbiao1,2, Xia Yonghua2,3, Liu Yong4, Wang Dandan3
1. School of Land and Resources Engineering, Kunming University of Science and Technology, Kunming, Yunnan 650093, China;2. Engineering Research Center for Application of Spatial Information Surveying and Mapping Technology in Plateau and Mountainous Areas, Yunnan University, Kunming, Yunnan 650093;3. City College of Kunming University of Science and Technology, Kunming, Yunnan 650051;4. Zhejiang Tongji Vocational College of Science and Technology, Hangzhou, Zhejiang, 311231
Funds: National Natural Science Foundation of China (41861054); Three-dimensional modeling and mapping in the triangular cave in Yiliang Jiuxiang Scenic Area (KKF0201856026); Research on the Application of 3D Laser Scanning and Indoor Positioning Technology in Underground Space Informatization (KKF0201956004)
Keywords: 3D laser scanning technology, shield tunnel, denoising, point cloud spatial expansion, slope
Citation format: Shen Changbiao, Xia Yonghua, Liu Yong, Wang Dandan. Overall denoising method of shield tunnel based on point cloud spatial expansion[J]. Bulletin of Surveying and Mapping, 2024, 0(2): 153-156. doi: 10.13474/j.cnki.11-2246.2024.0228
Abstract:The denoising of point cloud data of shield tunnel is the premise of subsequent tunnel structure analysis. In this paper, combined with the theory of point cloud spatial expansion and the cylindrical characteristics of shield tunnels, an overall denoising method for shield tunnels is proposed. Firstly, a new topology is obtained after the space expansion of the shield tunnel, so that the denoising work of the shield tunnel can use the existing mature ground filtering algorithm. After straight-through filtering and slope filtering, the tunnel point cloud retains the intact lining structure, and the ancillary facilities of the tunnel are filtered out. The test results show that the proposed method can achieve the overall denoising of the tunnel, and the denoising effect is remarkable.
About authorAbout author:SHEN Changbiao (1998—), male, master student, research direction is point cloud processing and application, shield tunnel pest detection. E-mail:[email protected] Corresponding author: Xia Yonghua. E-mail:[email protected]
First trial: Ji Yinxiao review: Song Qifan
Final Judge: Jin Jun
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