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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
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  • 1[in Chinese]
  • 2[in Chinese]
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    Article index updated: Mar. 10, 2025

    The article is cited by 9 article(s) CLP online library. (Some content might be in Chinese.)
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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

    Topics

    laser devices and laser physics
    Lasers and Laser Optics
    Laser physics
    laser manufacturing
    Instrumentation, Measurement and Metrology