Peng Xie, Zhenghai Wang, Bei Xiao, Yuxin Tian. Hyperspectral Inversion of Soil Selenium Content Based on Seagull Algorithm Optimized Random Forest[J]. Laser & Optoelectronics Progress, 2023, 60(17): 1730001
- Laser & Optoelectronics Progress
- Vol. 60, Issue 17, 1730001 (2023)
Fig. 1. Technology roadmap
Fig. 2. Spectral curves of soil samples. (a) Original spectra; (b) MSC-FD transformed spectra
Fig. 3. SOA-RF Flowchart
Fig. 4. Correlation analysis. (a) Original spectra; (b) MSC-FD
Fig. 5. sCARS algorithm feature band screening process
Fig. 6. VISSA algorithm feature band screening process. (a) RMSECV values; (b) weight values
Fig. 7. Distribution of wavelength of features extracted by different algorithms
Fig. 8. SOA-RF algorithm convergence curve
Fig. 9. SOA-RF model prediction results(RPD)
Fig. 10. Scatter plot of measured and predicted values of the optimal model. (a) sCARS-PLSR; (b) IRIV-SVM; (c) sCARS-RF; (d) VCPA-GA-SOA-RF
|
Table 1. Descriptive statistics of soil selenium content in training and prediction sets
|
Table 2. Evaluation of accuracy of the PLSR model with different variable screenings
|
Table 3. Evaluation of accuracy of SVM models with different variable screenings
|
Table 4. Evaluation of accuracy of the RF model with different variable screenings
|
Table 5. Evaluation of accuracy of the SOA-RF model with different variable screenings
Set citation alerts for the article
Please enter your email address
© Copyright 2018-2021 | Chinese Laser Press. All Rights Reserved 沪ICP备15018463号-20