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A Study on the Extraction of Slope Surface Orientation using LIDAR with respect to Triangulation Method and Sampling on the Point Cloud
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  • Journal title : Tunnel and Underground Space
  • Volume 26, Issue 1,  2016, pp.46-58
  • Publisher : Korean Society for Rock Mechanics
  • DOI : 10.7474/TUS.2016.26.1.046
 Title & Authors
A Study on the Extraction of Slope Surface Orientation using LIDAR with respect to Triangulation Method and Sampling on the Point Cloud
Lee, Sudeuk; Jeon, Seokwon;
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 Abstract
In this study, a LIDAR laser scanner was used to scan a rock slope around Mt. Gwanak and to produce point cloud from which directional information of rock joint surfaces shall be extracted. It was analyzed using two different algorithms, i.e. Ball Pivoting and Wrap algorithm, and four sampling intervals, i.e. raw, 2, 5, and 10 cm. The results of Fuzzy K-mean clustering were analyzed on the stereonet. As a result, the Ball Pivoting and Wrap algorithms were considered suitable for extraction of rock surface orientation. In the case of 5 cm sampling interval, both triangulation algorithms extracted the most number of the patch and patched area.
 Keywords
Point cloud;Triangulation;Orientation extraction;Sampling interval;
 Language
Korean
 Cited by
 References
1.
Abellan, A., Jaboyedoff, M., Oppikofer, T., Vilaplana, J.M., 2009, Detection of millimetric deformation using a terrestrial laser scanner: experiment and application to a rockfall event, Natural Hazards and Earth System Science, Vol. 9, 365-372. crossref(new window)

2.
Abellan, A., Oppikofer, T., Jaboyedoff, M., Rosser, N. J., Lim, M., & Lato, M. J., 2014, Terrestrial laser scanning of rock slope instabilities, Earth Surface Processes and Landforms, Vol. 39, No. 1, 80-97. crossref(new window)

3.
B. Delaunay, 1934, Sur la sphere vide. A la memoire de Georges Voronoi, Bulletin de l'Academie des Sciences de l'URSS. Classe des sciences mathematiques et na, No. 6, 793-800.

4.
Bernardini, F., Mittleman, J., Rushmeier, H., Silva, C., & Taubin, G., 1999, The ball-pivoting algorithm for surface reconstruction, Visualization and Computer Graphics, Vol. 5, No. 4, 349-359. crossref(new window)

5.
Edelsbrunner, H., 2003, Surface reconstruction by wrapping finite sets in space, Descrete & Computational Geometry, Springer, Berlin, 379-404.

6.
Hammah, R. E., & Curran, J. H., 1998, Fuzzy Cluster Algorithm for the Automatic Identification of Joint Sets, International Journal of Rock Mechanics and Mining Sciences, Vol. 35, No. 7, pp. 889-905. crossref(new window)

7.
Jeong, C.Y., Park, H.D., 2003, DEM generation of rock slope using laser scanning and digital stereo photogrametry, Tunnel & Underground Space, Vol. 13, No. 3, 207-214.

8.
Jung, Y.B., Jeon, S., 2003, Fuzzy Clustering Method for the Identification of Joint Sets, Tunnel & Underground Space, Vol. 13, No. 4, pp. 294-303.

9.
Kasperski, J., Delacourt, C., Allemand, P., Potherat, P., Jaud, M., Varrel, E., 2010, Application of a Terrestrial Laser Scanner (TLS) to the study of the Sechilienne landslide (Isere France), Remote Sensing, Vol. 2, No. 12, 2785-2802. crossref(new window)

10.
Kemeny, J., Turner, K., & Norton, B., 2006, LIDAR for rock mass characterization: hardware, software, accuracy and best-practices, Laser and Photogrammetric Methods for Rock Face Characterization, 49-62.

11.
Kim, C., Kemeny, J., Automatic extraction of fractures and their characteristics in rock masses by LIDAR system and the Split-FX software, Tunnel & Underground Space, Vol. 19, No. 1, 1-10.

12.
Lichti, D.D., Gordon, S.J., Stewart, M.P., 2002, Ground-based laser scanners: operation systems and applications, Geomatica, Vol. 56, No. 1, 21-33.

13.
Oh, S., 2011, Extraction of Rock Discontinuity Orientation by Laser Scanning Technique, Masters thesis, Seoul National University, 73p.

14.
Oppikofer, T., Jaboyedoff, M., Blikra, L., Derron, M.H., Metzger, R., 2009, Characterization and monitoring of the Åknes rockslide using terrestrial laser scanning, Natural Hazards and Earth System Science, Vol. 9, 1003-1019. crossref(new window)

15.
Park, S.H., Lee, S.G., Lee, B.K., Kim, C.H., 2015, A study on reliability of joint orientation measurements in rock slope using 3d laser scanner, Tunnel & Underground Space, Vol. 25, No. 1, 97-106. crossref(new window)

16.
Rosser, N.J., Petley, D.N., Lim, M., Dunning, S.A., Allison, R.J., 2005, Terrestrial laser scanning for monitoring the process of hard rock coastal cliff erosion, Quarterly Journal of Engineering Geology and Hydrogeology, Vol. 38, No. 4, 363-375. crossref(new window)

17.
Schurch, P., Densmore, A.L., Rosser, N.J., Lim M., McArdell, B.W., 2011, Detection of surface change in complex topography using terrestrial laser scanning: application to the Illgraben debris-flow channel, Earth Surface Processes and Landforms, Vol. 36, 1847-1859. crossref(new window)

18.
Slob, S., Hack, R., Turner, A.K., 2002, An approach to automate discontinuity measurements of rock faces using laser scanning techniques, ISRM International Symposium on Rock Engineering for Mountainous Regions : EUROCK 2002, 87-94.

19.
Ulusay, R., Hudson, J.A., 2007, The Complete ISRM Suggested Methods for Rock Characterization, Testing and Monitoring: 1974-2006, International Society for Rock Mechanics, Compilation Arranged by the ISRM Turkish National Group, Ankara, p. 628.