A critical review of discontinuity plane extraction from 3D point cloud data of rock mass surfaces. (December 2022)

• Record Type: Journal Article
• Authors: Daghigh, Hamid; Tannant, Dwayne D.; Daghigh, Vahid; Lichti, Derek D.; Lindenbergh, Roderik
• Is Part Of: Computers & geosciences. Volume 169(2022)
• Publication Date: 2022-12
• Subjects: Discontinuity plane extraction -- Rock mass -- Point cloud segmentation -- Remote sensing -- LiDAR -- Unsupervised learning; Environmental policy -- Periodicals; 550.5
• DOI: 10.1016/j.cageo.2022.105241
• Languages: English
• ISSNs: 0098-3004

Abstract

Abstract: Field investigations of geometric discontinuity properties in rock masses are increasingly using three-dimensional point cloud data. These point clouds sample the rock mass surface and are typically acquired by photogrammetry or LiDAR. The automatic segmentation and extraction of planar surfaces from point cloud data have attracted significant attention among researchers. This paper reviews the capabilities, merits, and limitations of different segmentation methods for discontinuity plane surface extraction and the specific challenges of processing point cloud data collected from rock faces. The segmentation and orientation results of a series of studies on two point cloud datasets of rock mass surfaces are critically discussed. A new set of ground truth orientations for one point cloud and some challenges faced while labeling a ground truth discontinuity plane are presented. Some suggestions to establish reliable and reproducible ground truth orientation results are presented. Two popular open-source software tools (CloudCompare and Discontinuity Set Extractor) for planar surface extraction are reviewed, and their capabilities and shortcomings are discussed. Acquisition of high-quality point cloud data and sharing it on a public repository establishes a basis for researchers to implement their methodologies and meaningfully compare their results to advance the knowledge in the field. Finally, some recommendations for future research and development are summarized. Graphical abstract: Image 1 Highlights: Methods to extract rock mass discontinuity planes from point cloud data are reviewed. The challenges and limitations of discontinuity plane detection methods are discussed. The research gaps on discontinuity plane extraction from point clouds are identified, and promising solutions are proposed. Recommendations for future research and development are presented.