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

Yi-heng WANG; Kun SUN; Zhe WEN; Ying-bo SUO; Qu ZHANG; Ge-rong WANG; Jin-hua WEI

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

Journals >Spectroscopy and Spectral Analysis >Volume 42 >Issue 2 >Page 537 > Article

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

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

Yi-heng WANG^1,*, Kun SUN^1,1;, Zhe WEN^1,1;, Ying-bo SUO^2,2;..., Qu ZHANG^1,1;, Ge-rong WANG^1,1; and Jin-hua WEI^{1,1; *;}|Show fewer author(s)

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

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 Copy Citation Text

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References

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[18] J Jiang, Y Li, Y Sun et al. Plant Methods, 15, 73(2019).

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

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