Spectroscopy and Spectral Analysis, Volume. 42, Issue 2, 537(2022)

Prediction of Conifer Pigment Content Based on Color Parameters and Hyperspectral Characteristics

Yi-heng WANG1、*, Kun SUN1、1;, Zhe WEN1、1;, Ying-bo SUO2、2;, Qu ZHANG1、1;, Ge-rong WANG1、1;, and Jin-hua WEI1、1; *;
Author Affiliations
  • 11. Forestry College of Beihua University, Jilin 132013, China
  • 22. State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430072, China
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    [18] Jiang J, Li Y, Sun Y et al[D]. Plant Methods, 15, 73(2019).

    [19] Moses Azong Cho, Renaud Mathieu, Russell Main et al[D]. ISPRS Journal of Photogrammetry and Remote Sensing, 66, 751(2011).

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    Yi-heng WANG, Kun SUN, Zhe WEN, Ying-bo SUO, Qu ZHANG, Ge-rong WANG, Jin-hua WEI. Prediction of Conifer Pigment Content Based on Color Parameters and Hyperspectral Characteristics[J]. Spectroscopy and Spectral Analysis, 2022, 42(2): 537

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    Paper Information

    Category: Research Articles

    Received: Jan. 21, 2021

    Accepted: Feb. 24, 2021

    Published Online: Apr. 2, 2022

    The Author Email: Yi-heng WANG (1873900274@qq.com)

    DOI:10.3964/j.issn.1000-0593(2022)02-0537-07

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