Research on Rice Leaf Area Index Inversion Model Based on Improved QGA-ELM Algorithm

SU Zhong-bin; LU Yi-wei; GU Jun-tao; GAO Rui; MA Zheng; KONG Qing-ming

doi:10.3964/j.issn.1000-0593(2021)04-1227-07

Journals >Spectroscopy and Spectral Analysis >Volume 41 >Issue 4 >Page 1227 > Article

Spectroscopy and Spectral Analysis
Vol. 41, Issue 4, 1227 (2021)

Research on Rice Leaf Area Index Inversion Model Based on Improved QGA-ELM Algorithm

SU Zhong-bin^*, LU Yi-wei, GU Jun-tao, GAO Rui, MA Zheng, and KONG Qing-ming

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[in Chinese]

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DOI: 10.3964/j.issn.1000-0593(2021)04-1227-07 Cite this Article

SU Zhong-bin, LU Yi-wei, GU Jun-tao, GAO Rui, MA Zheng, KONG Qing-ming. Research on Rice Leaf Area Index Inversion Model Based on Improved QGA-ELM Algorithm[J]. Spectroscopy and Spectral Analysis, 2021, 41(4): 1227 Copy Citation Text

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References

[1] Qiao Kun, Zhu Wenquan, Xie Zhiying, et al. Remote Sensing, 2019, 11(6): 16.

[4] Yu Yuanhe, Wang Jinliang, Liu Guangjie, et al. Journal of the Indian Society of Remote Sensing, 2019, 47(6): 967.

[5] Sha Zongyao, Wang Yuwei, Bai Yongfei, et al. Journal of Plant Ecology, 2019, 12(3): 395.

[9] Wang Lei, Wang Pengxin, Liang Shunlin, et al. Computers and Electronics in Agriculture, 2019, 160(3): 82.

[13] Huang G B, Zhu Q Y, Siew C K. Neurocomputing, 2006, 70(1-3): 489.

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