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Spectroscopy and Spectral Analysis, Volume. 44, Issue 10, 2873(2024)

Estimation of Leaf Physical and Chemical Parameters Based on Hyperspectral Remote Sensing and Deep Learning Technologies

YUE Ji-bo1... LENG Meng-die1, TIAN Qing-jiu2, GUO Wei1, LIU Yang3, FENG Hai-kuan4 and QIAO Hong-bo1,* |Show fewer author(s)
Author Affiliations
  • 1College of Information and Management Science，Henan Agricultural University，Zhengzhou　450002，China
  • 2International Institute for Earth System Science，Nanjing University，Nanjing　210023，China
  • 3Key Lab of Smart Agriculture System，Ministry of Education，China Agricultural University，Beijing　100083，China
  • 4Key Laboratory of Quantitative Remote Sensing in Agriculture of Ministry of Agriculture China，Beijing Research Center for Information Technology in Agriculture，Beijing　100097，China
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    YUE Ji-bo, LENG Meng-die, TIAN Qing-jiu, GUO Wei, LIU Yang, FENG Hai-kuan, QIAO Hong-bo. Estimation of Leaf Physical and Chemical Parameters Based on Hyperspectral Remote Sensing and Deep Learning Technologies[J]. Spectroscopy and Spectral Analysis, 2024, 44(10): 2873

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    Paper Information

    Received: Mar. 9, 2024

    Accepted: Jan. 16, 2025

    Published Online: Jan. 16, 2025

    The Author Email: Hong-bo QIAO (qiaohb@henau.edu.cn)

    DOI:10.3964/j.issn.1000-0593(2024)10-2873-11

    Topics

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