期刊
OPTICS AND LASER TECHNOLOGY
卷 54, 期 -, 页码 353-361出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.optlastec.2013.06.023
关键词
Mobile LiDAR; Land surveying; Point cloud processing
资金
- Spanish Ministry of Economy and Competitiveness
- Spanish Centre for Technological and Industrial Development
- Ingenieria Insitu S.L.
- Enmacosa S.A.
- Extraco S.A.
- Misturas S.L.
- Logica S.L.
- Xunta de Galicia
- Human Resources Programs [BES-2010-034106, IPP055-EXP44]
- [BIA2009-08012]
- [IDI-20101770]
This manuscript presents a novel method to automatize the efflorescence detection process in road overpasses using the geometric and radiometric informations from mobile LiDAR data. The study is performed over three main groups of algorithms. First, a data reduction algorithm based on the point cloud normalization, radial and vegetation filters is implemented. A second group of segmentation and classification algorithms uses the incidence angle derived by the LiDAR sensors to separate overpasses from pavement data. Finally, an algorithm to classify efflorescence considering its reflectivity lower than the surrounding granite is developed. The. experimental results demonstrate the effectiveness of the method, using field data from the New Bridge of Ourense (Spain). (C) 2013 Elsevier Ltd. All rights reserved.
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