Chinese Journal of Lasers, Volume. 44, Issue 10, 1010007(2017)

Joint Classification Method for Terrestrial LiDAR Point Cloud Based on Intensity and Color Information

Cheng Xiaojun1、*, Guo Wang1, Li Quan1, and Cheng Xiaolong2
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
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    Figures & Tables(10)
    Experiment of intensity and distance
    Intensity versus distance acquired
    Experiment of intensity and incidence angle
    Intensity versus incidence angle for different distances acquired
    Corrected intensity versus incidence angle acquired
    Intensity correcting results. (a) Original intensity image; (b) corrected intensity image
    Intensity classifying results. (a) Intensity image; (b) classification image
    Color classifying results. (a) Color image; (b) classification image
    Intensity and color classifying results. (a) Pseudo color image; (b) classification image
    • Table 1. Parameter values

      View table

      Table 1. Parameter values

      Subscriptabcdef
      159.88-307.62080
      20.01282-0.600611.22-106.2492918
      3-0.00015270.0214-1.17631.46407.13630
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    Cheng Xiaojun, Guo Wang, Li Quan, Cheng Xiaolong. Joint Classification Method for Terrestrial LiDAR Point Cloud Based on Intensity and Color Information[J]. Chinese Journal of Lasers, 2017, 44(10): 1010007

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    Paper Information

    Category: Remote Sensing and Sensors

    Received: Apr. 25, 2017

    Accepted: --

    Published Online: Oct. 18, 2017

    The Author Email: Xiaojun Cheng (cxj@tongji.edu.cn)

    DOI:10.3788/CJL201744.1010007

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