Accuracy and reliability evaluation of 3D-LS for the discontinuity orientation identification with different registration/georeferencing modes

Hu, Shengming; Chen, Zhijian; Liu, Zhen; Wan, Chenghui; Huang, Lei

doi:10.1080/1064119x.2018.1542760

Cited by 5 publications

(2 citation statements)

References 27 publications

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“…The extraction of rock discontinuities with 3D-LS generally has two steps: (1) detecting discontinuities and extracting geometric parameters and (2) registering and georeferencing multisite cloud data (Hu et al, 2019b;Pagano et al, 2020). Acquiring highquality 3D-LS point cloud data and preprocessing the point cloud are indispensable requirements.…”

Section: Introductionmentioning

confidence: 99%

“…Acquiring highquality 3D-LS point cloud data and preprocessing the point cloud are indispensable requirements. Because of the unique geometric characteristics of a rock mass (e.g., discontinuities with different orientations, irregular shapes, and different roughnesses) (Hu et al, 2019b), there is an urgent need to improve the registration and georeferencing of multisite cloud data. Geological engineers tend to simplify the complex procedures of both registration and georeferencing for rock mass discontinuity analysis by using a single scan.…”

Section: Introductionmentioning

confidence: 99%

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Three-Dimensional Laser Scanning-Based Method for Identifying Rock Discontinuities

Hu¹,

Jianglin²,

Hu³

et al. 2021

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Manual measurement of rock discontinuities is time-consuming and subjective according to the experience of the surveyor. This work proposes a three-dimensional laser scanning-based method for the semi-automatic identification of rock discontinuities. Multisite cloud scanning is performed with real-time kinematic (RTK)-assisted orientation to estimate the rock fracturing degree; then, discontinuity orientations are extracted with the man–machine interactive method or automatic method. The proposed method was applied to actual examples to illustrate its accuracy at identifying rock discontinuities. The sensitivity of the identification accuracy to different parameters was investigated.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%