Spectroscopy and Spectral Analysis, Volume. 42, Issue 4, 1076(2022)
Research on Classification Method of Main Poisonous Plants in Alpine Meadow Based on Spectral Characteristic Variables
Fig. 1. Average spectral curves of 11 different alpine meadow poisonous plants
Fig. 2. The average first-order differential spectrum curve of 11 different alpine meadow poisonous plants
Fig. 3. Kendall correlation matrix
Note: The graph is divided into two parts, the upper triangle is the significance test, the lower triangle is the correlation coefficient, the asterisk in the figure represents the significance test, * means the difference is significant, no * means the difference is not significant, *
Fig. 4. Sorting of 16 spectral feature variables
(a): The cumulative percentage of typical variables; (b): The standardized score coefficient
Fig. 5. Classification accuracy of 16 spectral variables in 5 algorithms
|
|
|
Get Citation
Copy Citation Text
Rui DONG, Zhuang-sheng TANG, Rui HUA, Xin-cheng CAI, Dar-han BAO, Bin CHU, Yuan-yuan HAO, Li-min HUA. Research on Classification Method of Main Poisonous Plants in Alpine Meadow Based on Spectral Characteristic Variables[J]. Spectroscopy and Spectral Analysis, 2022, 42(4): 1076
Category: Research Articles
Received: May. 22, 2021
Accepted: --
Published Online: Jul. 25, 2023
The Author Email: