Wen-qiang SHI, Xiu-ying XU, Wei ZHANG, Ping ZHANG, Hai-tian SUN, Jun HU. Prediction Model of Soil Moisture Content in Northern Cold Region Based on Near-Infrared Spectroscopy[J]. Spectroscopy and Spectral Analysis, 2022, 42(6): 1704
- Spectroscopy and Spectral Analysis
- Vol. 42, Issue 6, 1704 (2022)
Fig. 1. Original near infrared spectra of soil
Fig. 2. Preprocessed near infrared spectra of soil
(a): Preprocessed by MSC; (b): Preprocessed by SNV;(c): Preprocessed by first derivative; (d): Preprocessed by second derivative;(e): Preprocessed by smoothing
(a): Preprocessed by MSC; (b): Preprocessed by SNV;(c): Preprocessed by first derivative; (d): Preprocessed by second derivative;(e): Preprocessed by smoothing
Fig. 3. The best training effects based on different algorithms
(a): S_G-BP model; (b): SNV-SVM model; (c): S_G-GP model
(a): S_G-BP model; (b): SNV-SVM model; (c): S_G-GP model
Fig. 4. The best prediction fitting effects based on different algorithms
(a): S_G-SVM model; (b): BP model; (c): MSC-GP model
(a): S_G-SVM model; (b): BP model; (c): MSC-GP model
Fig. 5. Comparison of prediction results
(a): Based on original data; (b): Based on MSC preprocessing;(c): Based on SNV preprocessing; (d): Based on first derivative preprocessing;(e): Based on the preprocessing of second derivative; (f): Based on smoothing preprocessing
(a): Based on original data; (b): Based on MSC preprocessing;(c): Based on SNV preprocessing; (d): Based on first derivative preprocessing;(e): Based on the preprocessing of second derivative; (f): Based on smoothing preprocessing
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Table 1. Basic information of soil moisture
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Table 2. Comparison of different model parameters
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