Automated rockmass discontinuity mapping from 3-dimensional surface data

摘要: Abstract Remote sensing technologies, specifically terrestrial-based static LiDAR and photogrammetry, are transforming from state-of-the-art to state-of-practice tools for engineering geologists. The complexity of available software packages perform standard geomechanical analyses is slowing the widespread adoption these technologies within geotechnical community. development automated processing feature extraction data interpretation aimed at eliminating need complex manual analysis. This paper presents algorithms used in program PlaneDetect identification mapping planar discontinuities a 3-dimensional surface model jointed rockmass. employs five stage procedure of: smoothing, edge detection masking, blast damaged discontinuity identification, set clustering. outputs stereonet orientations colored by joint family, an image with each mapped text file orientations. results computed comparison more statistically reliable based on less user bias. time saving realized through using approximately ten times compared approaches.