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Chinese Journal of Lasers, Volume. 48, Issue 16, 1610001(2021)

Small-Sample Airborne LiDAR Point Cloud Classification Based on Transfer Learning and Fully Convolutional Network

Xiangda Lei, Hongtao Wang*, and Zongze Zhao
Author Affiliations
  • School of Surveying and Land Information Engineering, Henan Polytechnic University, Jiaozuo,Henan 454000, China
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    Article index updated: Sep. 6, 2025

    The article is cited by 9 article(s) CLP online library. (Some content might be in Chinese.)
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    Xiangda Lei, Hongtao Wang, Zongze Zhao. Small-Sample Airborne LiDAR Point Cloud Classification Based on Transfer Learning and Fully Convolutional Network[J]. Chinese Journal of Lasers, 2021, 48(16): 1610001

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    Paper Information

    Category: remote sensing and sensor

    Received: Nov. 28, 2020

    Accepted: Feb. 7, 2021

    Published Online: Jul. 30, 2021

    The Author Email: Hongtao Wang (211804010013@home.hpu.edu.cn)

    DOI:10.3788/CJL202148.1610001

    Topics

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