Acta Optica Sinica, Volume. 45, Issue 6, 0628001(2025)
Machine Learning for Hyperspectral Characteristic Band Extraction in Soil Nutrient Analysis
[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).
Get Citation
Copy Citation Text
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
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)