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Automated measurements of discontinuity geometric properties from a 3D-point cloud based on a modified region growing algorithm.
- Source :
-
Engineering Geology . Aug2018, Vol. 242, p44-54. 11p. - Publication Year :
- 2018
-
Abstract
- An approach was proposed to automatically measure the discontinuity geometric properties from a point cloud acquired using Light Detection and Ranging (LiDAR). The procedure primarily includes the following features: (Assali et al., 2016) Grid data from the point cloud was created to enhance computational efficiency for data processing and retrieval; (Barton & Choubey, 1977) A modified region growing (MRG) algorithm, which is characterized by more efficient grow criterion, was used to recognize discontinuities from the point cloud; (Cao et al., 2017) Four geometric properties from identified discontinuities were calculated based on analytic geometry; (Chen et al., 2016) Influence of threshold T on the identified results was investigated through sensitivity analysis, and threshold T was suggested to be less than the minimum normal difference among all joints and larger than 0°. Two cases (regular polyhedrons and a tunnel in the Rumei hydropower station) were taken as case studies to validate the developed approach, and calculation results have good agreement with real situations. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 00137952
- Volume :
- 242
- Database :
- Academic Search Index
- Journal :
- Engineering Geology
- Publication Type :
- Academic Journal
- Accession number :
- 130876798
- Full Text :
- https://doi.org/10.1016/j.enggeo.2018.05.007