Acta Optica Sinica, Volume. 45, Issue 6, 0628001(2025)

Machine Learning for Hyperspectral Characteristic Band Extraction in Soil Nutrient Analysis

Kai Liu... Yufeng Wang*, Zhiqing Peng, Jingjing Liu, Yuehui Song, Huige Di and Dengxin Hua |Show fewer author(s)
Author Affiliations
  • Centre for Lidar Remote Sensing Research, School of Mechanical and Precision Instrument Engineering, Xi’an University of Technology, Xi’an 710048, Shaanxi , China
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    References(16)

    [9] Zhao H L, Gan S, Yuan X P et al. Inversion of soil iron oxide based on multi-scale continuous wavelet decomposition[J]. Acta Optica Sinica, 42, 2230002(2022).

    [15] Tao P F, Wang J H, Li Z Z et al. Research of soil nutrient content inversion model based on hyperspectral data[J]. Geology and Resources, 29, 68-75, 84(2020).

    [16] Lin N, Liu H Q, Yang J J et al. Hyperspectral estimation of soil nutrient content in the black soil region based on BA-adaboost[J]. Spectroscopy and Spectral Analysis, 40, 3825-3831(2020).

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    Kai Liu, Yufeng Wang, Zhiqing Peng, Jingjing Liu, Yuehui Song, Huige Di, Dengxin Hua. Machine Learning for Hyperspectral Characteristic Band Extraction in Soil Nutrient Analysis[J]. Acta Optica Sinica, 2025, 45(6): 0628001

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    Paper Information

    Category: Remote Sensing and Sensors

    Received: May. 24, 2024

    Accepted: Jul. 11, 2024

    Published Online: Mar. 21, 2025

    The Author Email: Wang Yufeng (wangyufeng@xaut.edu.cn)

    DOI:10.3788/AOS241061

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