• Chinese Journal of Lasers
  • Vol. 44, Issue 10, 1010007 (2017)
Cheng Xiaojun1、*, Guo Wang1, Li Quan1, and Cheng Xiaolong2
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
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    DOI: 10.3788/CJL201744.1010007 Cite this Article Set citation alerts
    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 Copy Citation Text show less
    Experiment of intensity and distance
    Fig. 1. Experiment of intensity and distance
    Intensity versus distance acquired
    Fig. 2. Intensity versus distance acquired
    Experiment of intensity and incidence angle
    Fig. 3. Experiment of intensity and incidence angle
    Intensity versus incidence angle for different distances acquired
    Fig. 4. Intensity versus incidence angle for different distances acquired
    Corrected intensity versus incidence angle acquired
    Fig. 5. Corrected intensity versus incidence angle acquired
    Intensity correcting results. (a) Original intensity image; (b) corrected intensity image
    Fig. 6. Intensity correcting results. (a) Original intensity image; (b) corrected intensity image
    Intensity classifying results. (a) Intensity image; (b) classification image
    Fig. 7. Intensity classifying results. (a) Intensity image; (b) classification image
    Color classifying results. (a) Color image; (b) classification image
    Fig. 8. Color classifying results. (a) Color image; (b) classification image
    Intensity and color classifying results. (a) Pseudo color image; (b) classification image
    Fig. 9. Intensity and color classifying results. (a) Pseudo color image; (b) classification image
    Subscriptabcdef
    159.88-307.62080
    20.01282-0.600611.22-106.2492918
    3-0.00015270.0214-1.17631.46407.13630
    Table 1. Parameter values
    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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