[HTML][HTML] Rapid intelligent evaluation method and technology for determining engineering rock mass quality

F Wu, J Wu, H Bao, Z Bai, L Qiao, F Zhang, B Li… - Rock Mechanics …, 2023 - Elsevier
The evaluation of engineering rock mass quality is fundamental work for the engineering
activities of rock mass. The increasing scale of rock mass engineering necessitates higher …

Automatic discontinuity identification and quantitative monitoring of unstable blocks using terrestrial laser scanning in large landslide during emergency disposal

J Zhou, N Jiang, H Li - Landslides, 2024 - Springer
Fast and accurate assessment of slope topography and geological information and
understanding of slope deformation evolution are of great significance in emergency …

A computationally efficient approach to automatically extract rock mass discontinuities from 3D point cloud data

H Daghigh, DD Tannant, M Jaberipour - International Journal of Rock …, 2023 - Elsevier
Geometric characterization of discontinuity planes in rock masses is an essential practice in
rock engineering. Analysis of 3D point cloud data of exposed rock surfaces acquired by …

A Progressive Plane Detection Filtering Method for Airborne LiDAR Data in Forested Landscapes

S Cai, X Liang, S Yu - Forests, 2023 - mdpi.com
Ground filtering is necessary in processing airborne light detection and ranging (LiDAR)
point clouds for forestry applications. This study proposes a progressive plane detection …

A new method for recognizing discontinuities from 3D point clouds in tunnel construction environments

X Peng, P Lin, Q Xia, L Yu, M Wang - Tunnelling and Underground Space …, 2024 - Elsevier
Measuring the spatial distribution of discontinuities in tunnel faces obscured by shotcrete
and excavation profiles remains challenging. This paper introduces a novel method for …

Investigating Machine Learning Techniques Used for the Detection of Class Noise in Data: A Systematic Literature Review

C van den Berg, S Eybers - Science and Information Conference, 2024 - Springer
Data provides valuable information and insights and assists in making strategic decisions.
The quality of the data is distorted by noise, which negatively affects information, insights …

Incremental registration towards large-scale heterogeneous point clouds by hierarchical graph matching

S Jia, C Liu, H Wu, W Huan, S Wang - ISPRS Journal of Photogrammetry …, 2024 - Elsevier
The increasing availability of point cloud acquisition techniques makes it possible to
significantly increase 3D observation capacity by the registration of multi-sensor, multi …

Differences in the permeability assessment of the fractured reservoir rocks using the conventional and the rough discrete fracture network modeling

D Shi, X Chang, L Li, M Wu, R Song, Y Guo… - Journal of Petroleum …, 2024 - Springer
Permeability assessment of naturally fractured rocks and fractured rocks after fracturing is
critical to the development of oil and gas resources. In this paper, based on the discrete …

Scanline intersection similarity: A similarity metric for joint trace maps

J Kim, YK Lee, CS Choi, S Fereshtenejad… - Computers & …, 2023 - Elsevier
Although various automatic joint trace survey methods have been proposed, it has been
difficult to evaluate their accuracy. This difficulty lies in the lack of comprehensive metrics for …

Semi-automatic extraction of dangerous rock blocks from jointed rock exposures based on a discontinuity trace map

J Yan, J Chen, Y Zhang, Y Liu, X Zhao, J Xue… - Computers and …, 2023 - Elsevier
Using a rock slope surface model generated from unmanned aerial vehicle (UAV) digital
photogrammetry, this study develops a new semi-automatic dangerous rock blocks …