[2] Koschan A F. Perception-based 3D triangle mesh segmentation using fast marching watersheds[C]∥2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, June 18-20, 2003, Madison, WI, USA, U, 7770138(2003).
[3] Rabbani T, Heuvel F A, Vosselman G. Segmentation of point clouds using smoothness constraint[J]. International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, 36, 248-253(2006).
[4] Zhu J T, Wang L, Zhao C et al. Point cloud segmentation on the roof of complicated building based on the algorithm of region growing[J]. Remote Sensing for Land & Resources, 31, 20-25(2019).
[6] Yuan X C, Wu L S, Chen H W. Feature preserving point cloud simplification[J]. Optics and Precision Engineering, 23, 2666-2676(2015).
[7] Wang X, Wang J Q, Li K Q et al. Fast segmentation of 3-D point clouds for intelligent vehicles[J]. Journal of Tsinghua University (Science and Technology), 54, 1440-1446(2014).
[9] Golovinskiy A, Funkhouser T. Min-cut based segmentation of point clouds[C]∥2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops, September 27-October 4, 2009, Kyoto, Japan., 39-46(2009).
[10] Xu W X. Study on segmentation of terrestrisl laser scanners data[D]. Qingdao: Shandong University of Science and Technology, 18-25(2009).
[11] Kuang X L, Ou X L. Planar region segmentation of coloured piont cloud data based on architecture[J]. Computer Engineering and Applications, 48, 194-197, 206(2012).
[13] Guo B Q, Yu Z J, Zhang N et al. 3D point cloud segmentation, classification and recognition algorithm of railway scene[J]. Chinese Journal of Scientific Instrument, 38, 2103-2111(2017).
[14] Ester M, Kriegel H P, Sander J et al. Adensity-based algorithm for discovering clusters in large spatial databases with noise. [C]∥Proceedings of the Second International Conference on Knowledge Discovery and Data Mining (KDD'96). New York: ACM, 226-231(1996).
[15] KhanK, Rehman SU, AzizK, et al.DBSCAN: Past, present and future[C]∥The Fifth International Conference on the Applications of Digital Information and Web Technologies (ICADIWT 2014), February 17-19, 2014, Bangalore, India. New York: IEEE Press, 2014: 232- 238.