• Infrared and Laser Engineering
  • Vol. 49, Issue 8, 20190439 (2020)
Fajie Feng1, Yazhou Ding1, Junping Li1, Xingbei Huang2, and Xinyi Liu2、*
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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    DOI: 10.3788/IRLA20190439 Cite this Article
    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 Copy Citation Text show less
    References

    [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).

    [2] 孙美玲, Meiling Sun, Yongshu Li, 李永树, Qiang Chen, 陈强. Iterative multi-scale filter based on morphological opening by reconstruction for LiDAR urban data. Infrared and Laser Engineering, 44, 363-369(2015).

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

    [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).

    [5] Q Chen, H Wang, H Zhang. A point cloud filtering approach to generating DTMs for steep mountainous areas and adjacent residential areas. Remote Sensing, 8, 71(2016).

    [6] 王雅男, Yanan Wang, Tingfeng Wang, 王挺峰, 田玉珍, Yuzhen Tian. Improved local convexity algorithm of segmentation for 3D point cloud. Chinese Optics, 10, 348-354(2017).

    [7] Zhiqing Liu, 刘志青, 李鹏程, Pengcheng Li, 陈小卫, Xiaowei Chen. Classification of airborne LiDAR point cloud data based on information vector machine. Optics and Precision Engineering, 24, 210-219(2016).

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

    [9] A Rizaldy, C Persello, C Gevaert. Ground and multi-class classification of airborne laser scanner point clouds using fully convolutional networks. Remote Sensing, 10, 1723(2018).

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

    [12] X Hu, L Ye, S Pang. Semi-global filtering of airborne LiDAR data for fast extraction of digital terrain models models. Remote Sensing, 7, 10996-11015(2015).

    [13] Zhiqing Liu, 刘志青, Pengcheng Li, 李鹏程, Haitao Guo, 郭海涛. 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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