An automatic identification of rock mass discontinuity from 3D point clouds using multi-point clustering algorithm | Synapse
March 3, 2026
An automatic identification of rock mass discontinuity from 3D point clouds using multi-point clustering algorithm
Key Points
Automated identification of rock mass discontinuities can significantly improve geological assessments, enhancing accuracy and speed.
The analysis achieved over 85% accuracy in identifying discontinuities from 3D point cloud data, validating the effectiveness of the proposed algorithm.
Assessment using multi-point clustering algorithm delineated complex rock structures, giving detailed insights for geological studies.
Efficiency gains in geological mapping might aid in infrastructure projects, reducing costs and time for surveys.