Laser & Optoelectronics Progress, Volume. 61, Issue 14, 1412005(2024)
Intelligent Identification of Rock Discontinuities Based on Three-Dimensional Laser Scanning Technology
Fig. 2. Schematic representation of point cloud translation. (a) First distribution; (b) second distribution; (c) (d) results of reversing the normal vectors
Fig. 8. Initial clustering results for different k values. (a) k = 20; (b) k = 30; (c) k = 40; (d) results of manual identification
Fig. 9. Discontinuities identification results and occurrence information. (a) Discontinuities identification results; (b) pole figure of occurrence
Fig. 10. Comparison of pole density plot. (a) Pole density plot of automatic identification; (b) pole density plot of manually identification
Fig. 11. Comparison of discontinuities identification results. (a) Automatic identification results; (b) manual identification results
Fig. 12. Discontinuities identification results of data 2. (a) Pole figure of occurrence; (b) pole density plot of automatic identification; (c) pole density plot of manually identification;(d) discontinuities identification results;(e) discontinuities of automatic identification; (f) discontinuities of manually identification
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Yuxiang Wang, Yueqian Shen. Intelligent Identification of Rock Discontinuities Based on Three-Dimensional Laser Scanning Technology[J]. Laser & Optoelectronics Progress, 2024, 61(14): 1412005
Category: Instrumentation, Measurement and Metrology
Received: Oct. 16, 2023
Accepted: Dec. 26, 2023
Published Online: Jul. 4, 2024
The Author Email: Yueqian Shen (y.shen_lidar@hhu.edu.cn)
CSTR:32186.14.LOP232308