[1] HE Zh B, TIAN Y R. Filtering algorithm for non-ground point from airborne laser scanner data[J]. Journal of Geodesy and Geodyna-mics, 2009, 29(4): 97-101(in Chinese).
[2] HUA L, HUANG H Y, CHEN Ch Ch, et al. Three dimensional mo-deling of Hakka earth buildings based on the laser scanned point cloud data[J]. Remote Sensing Technology and Application, 2015, 30(1): 115-122(in Chinese).
[3] ZHAO H Y, ZHANG Zh P, et al. The application of 3-D laser point cloud data in the city modeling[J]. Urban Geotechnical Investigation & Surveying, 2009(1): 69-72(in Chinese).
[4] CHEN X D, ZHANG J Ch, PANG W S, et al. Key technology and application algorithm of intelligent driving vehicle LiDAR[J]. Opto-Electronic Engineering, 2019, 46(7): 34-46(in Chinese).
[5] SHI L, GUO T, PENG Ch, et al. Segmentation of laser point cloud and safety detection of power lines[J]. Laser Technology, 2019, 43(3): 341-346(in Chinese).
[6] WU J J, CHEN L, LI L, et al. Power line extraction and reconstruction from airborne LiDAR point cloud[J]. Laser Technology, 2019, 43(4): 64-69(in Chinese).
[7] HU X, LI X, ZHANG Y. Fast filtering of LiDAR point cloud in urban areas based on scan line segmentation and GPU acceleration[J]. IEEE Geoscience and Remote Sensing Letters, 2013, 10(2): 308-312. doi: 10.1109/LGRS.2012.2205130
[8] KEDZIERSKI M, FRYSKOWSKA A. Methods of laser scanning point clouds integration in precise 3-D building modelling[J]. Measurement, 2015, 74: 221-232. doi: 10.1016/j.measurement.2015.07.015
[9] VáZQUEZ-ARELLANO M, REISER D, PARAFOROS D S, et al. 3-D reconstruction of maize plants using a time-of-flight camera[J]. Computers and Electronics in Agriculture, 2018, 145: 235-247. doi: 10.1016/j.compag.2018.01.002
[10] DAI J L, CHEN Zh Y, YE X Z. The application of ICP algorithm in point cloud alignment[J]. Journal of Image and Graphics, 2007, 12(3): 517-521(in Chinese).
[11] LI T Sh, WANG Y M, HU Ch M. Research on automatic point cloud registration based on laser reflection intensity[J]. Bulletion of Surveying and Mapping, 2014(s2):143-145. doi: 10.1145/2661229.2661239
[12] BESL P J, McKAY N D. A method for registration of 3-D shapes[J]. IEEE Transactions on Pattern Analysis & Machine Intelligence, 1992, 14(2): 239-256. doi: 10.1117/12.57955
[13] BOUAZIZ S, TAGLIASACCHI A, PAULY M. Sparse iterative closest point[J]. Computer Graphics Forum, 2013, 32(5):12-14.
[14] RUSINKIEWICZ S, LEVOY M. Efficient variants of the ICP algorithm[J]. Proceedings of the SPIE, 2001, 1497:149701.
[15] WU D L, HUANG H L, DING Y Ch, et al. Surfaces matching algorithm based on genetic algorithm and least square criterion[J]. Acta Aeronautica ET Astronautica Sinica, 2002, 23(3): 285-288(in Chinese).
[16] DUAN D Q, LI J F, SHEN P P, et al. Registration of scattered cloud point data based on PSO[J]. Journal of Guangxi Normal University(Natural Science Edition), 2008, 26(3): 226-229(in Chinese).
[17] SHE X X, XU B. Improved particle swarm opetimization algorithm based on genetic thought[J]. Journal of Yangtze University(Natural Science Edition), 2016, 13(22): 4-8(in Chinese).
[18] XIANG Y J, SHUAI L. Beetle antennae search algorithm for optimization problems[J]. International Journal of Robotics and Control, 2018, 1(1):37-42.
[19] CHEN J, CAI Y, ZHANG J Sh. Point cloud registration based on entropy criterion genetic algorithm[J]. Application Research of Computers, 2019, 36(1): 322-326(in Chinese).
[20] LI H X. Lidar point cloud feature analysis and data segmentation[D].Xi'an: Xidian University, 2014: 57-64(in Chinese).
[21] TAO H Q, DA F P. Automatic registration algorithm for the point clouds based on the normal vector[J]. Chinese Journal of Lasers, 2013, 40(8):809001(in Chinese). doi: 10.3788/CJL201340.0809001
[22] SHI Y. A modified particle swarm optimizer[J].Proceedings of the SPIE, 1998, 7803:699146.
[23] UGOLOTTI R, CAGNONI S. Multi-objective parameter tuning for PSO-based point cloud localization[M].Berliln, Germary: Springer International Publishing, 2014:75-85.
[24] CHEN T T, YIN H, JINAG H L, et al. Particle swarm optimization algorithm based on beetle antennae search for solving portfolio pro-blem[J]. Computer Systems & Applications, 2019, 28(2): 171-176(in Chinese).