1. Extraction of Step-Feature Lines in Open-Pit Mines Based on UAV Point-Cloud Data.
- Author
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Mao, Yachun, Wang, Hui, Cao, Wang, Fu, Yuwen, Fu, Yanhua, He, Liming, and Bao, Nisha
- Subjects
STRIP mining ,GEOMETRICAL drawing ,TRACKING algorithms ,POINT cloud ,CURVE fitting ,ROCKFALL ,TILLAGE - Abstract
Step-feature lines are one of the important geometrical elements for drawing the status quo maps of open-pit mines, and the efficient and accurate automatic extraction and updating of step-feature lines is of great significance for open-pit-mine stripping planning and analysis. In this study, an automatic extraction method of step-feature lines in an open-pit mine based on unmanned-aerial-vehicle (UAV) point-cloud data is proposed. The method is mainly used to solve the key problems, such as low accuracy, local-feature-line loss, and the discontinuity of the step-feature-line extraction method. The method first performs the regular raster resampling of the open-pit-mine cloud based on the MLS algorithm, then extracts the step-feature point set by detecting the elevation-gradient change in the resampled point cloud, further traces the step-feature control nodes by the seed-growth tracking algorithm, and finally generates smooth step-feature lines by fitting the space curve to the step-feature control nodes. The results show that the method effectively improves the accuracy of step-feature-line extraction and solves the problems of local-feature-line loss and discontinuity. [ABSTRACT FROM AUTHOR]
- Published
- 2022
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