Laser & Optoelectronics Progress, Volume. 57, Issue 23, 231402(2020)

Point Cloud Simplification Optimization Strategy and Experimental Research Based on Multiple Algorithms

Raobo Li1, Xiping Yuan2,3, Shu Gan1,2、*, and Rui Bi1
Author Affiliations
  • 1Faculty of Land Resources and Engineering, Kunming University of Science and Technology, Kunming, Yunnan 650093, China
  • 2Yunnan Provincial Plateau Mountain Survey Technique Application Engineering Research Center, Kunming University of Science and Technology, Kunming, Yunnan 650093, China
  • 3College of Engineering, West Yunnan University of Applied Sciences, Dali, Yunnan 671009, China
  • show less
    References(17)

    [1] Fan Q, Yao W Q, Chen P[J]. Research on 3D modeling based on cycloneBulletin of Surveying and Mapping, 2015, 76-79.

    [2] Lu D D, Zou J G[J]. Comparative research on denoising algorithms of 3D laser point cloud Bulletin of Surveying and Mapping, 2019, 102-105.

    [7] Wang L Y, Wang S, Li Y. Airborne LiDAR 3D filtering based on intensity voxel primitive[J]. Journal of Geo-Information Science, 21, 1945-1954(2019).

    [9] Su Z X, Li Z Y, Wang X C. Denoising of point-sampled model based on normal mollification and median filtering[J]. Journal of Computer-Aided Design & Computer Graphics, 22, 1892-1898(2010).

    [11] Liu C, Wu H B. Compress method for three dimension laser scanning data based on 3D triangulated irregular network[J]. Geomatics and Information Science of Wunan University, 31, 908-911(2006).

    [13] Zhang W M, Qi J B, Wan P et al. An easy-to-use airborne LiDAR data filtering method based on cloth simulation[J]. Remote Sensing, 8, 501-523(2016).

    [15] Xie R, Xiao H H. Compression criterion for point clouds of TLS[J]. Geotechnical Investigation & Surveying, 41, 64-68(2013).

    [16] Wu J J. Research of point-based techniques on unorganized point cloud[D]. Wuhan: Huazhong University of Science and Technology, 10-12(2004).

    [17] Zhu G T, Ye M L[J]. Research on the method of point cloud denoising based on curvature characteristics and quantitative evaluation Bulletin of Surveying and Mapping, 2019, 105-108.

    Tools

    Get Citation

    Copy Citation Text

    Raobo Li, Xiping Yuan, Shu Gan, Rui Bi. Point Cloud Simplification Optimization Strategy and Experimental Research Based on Multiple Algorithms[J]. Laser & Optoelectronics Progress, 2020, 57(23): 231402

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category: Lasers and Laser Optics

    Received: Mar. 2, 2020

    Accepted: Apr. 10, 2020

    Published Online: Dec. 9, 2020

    The Author Email: Shu Gan (bo5200909@163.com)

    DOI:10.3788/LOP57.231402

    Topics