Infrared and Laser Engineering, Volume. 49, Issue 8, 20190439(2020)

Airborne LiDAR point cloud filtering using saliency division

Fajie Feng1... Yazhou Ding1, Junping Li1, Xingbei Huang2 and Xinyi Liu2,* |Show fewer author(s)
Author Affiliations
  • 1Power China Hubei Electric Engineering Corporation Limited, Wuhan 430040, China
  • 2School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China
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    References(13)

    [1] G Sithole, G Vosselman. Experimental comparison of filter algorithms for bare-earth extraction from airborne laser scanning point clouds. ISPRS Journal of Photogrammetry & Remote Sensing, 59, 85-101(2004).

    [4] X Chen, S Tao, J Mao. Efficient analysis and optimization of point cloud data filter algorithm for progressive encryption. Remote Sensing Information, 33, 106-111(2018).

    [8] 刘志青, Zhiqing Liu, 李鹏程, Pengcheng Li, 郭海涛, Haitao Guo. Airborne LiDAR point cloud data classification based on relevance vector machine. Infrared and Laser Engineering, 45, S130006(2016).

    [10] E Janssens-Coron, E Guilbert. Ground point filtering from airborne lidar point clouds using deep learning: A preliminary study. ISPRS-International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLII-2/W13(2019).

    [11] 赵传, Chuan Zhao, 张保明, Baoming Zhang, 余东行, Donghang Yu. Airborne LiDAR point cloud classification using transfer learning. Optics and Precision Engineering, 27, 1601-1612(2019).

    [13] 刘志青, Zhiqing Liu, 李鹏程, Pengcheng Li, 郭海涛, Haitao Guo. Integrating strict threshold triangular irregular networks and curved fitting based on total least squares for filtering method. Infrared and Laser Engineering, 45, 0406003(2016).

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    Fajie Feng, Yazhou Ding, Junping Li, Xingbei Huang, Xinyi Liu. Airborne LiDAR point cloud filtering using saliency division[J]. Infrared and Laser Engineering, 2020, 49(8): 20190439

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    Paper Information

    Category: 激光器与激光光学

    Received: Dec. 5, 2019

    Accepted: --

    Published Online: Dec. 31, 2020

    The Author Email: Liu Xinyi (liuxy0319@whu.edu.cn)

    DOI:10.3788/IRLA20190439

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