Rong-hua JI, Ying-ying ZHAO, Min-zan LI, Li-hua ZHENG. Research on Prediction Model of Soil Nitrogen Content Based on Encoder-CNN[J]. Spectroscopy and Spectral Analysis, 2022, 42(5): 1372
- Spectroscopy and Spectral Analysis
- Vol. 42, Issue 5, 1372 (2022)
Fig. 1. Correlation between soil nitrogen content and self-collected spectrum and its differential spectrum
(a): The original spectrum; (b): The first order differential spectrum; (c): The second order differential spectrum
(a): The original spectrum; (b): The first order differential spectrum; (c): The second order differential spectrum
Fig. 2. The basic structure of auto-encoder
Fig. 3. The schematic diagram of CNN network structure
Fig. 4. Changes of evaluation indexes of CNN-3 model
(a): Coefficient of determination; (b): Root-mean-square error; (c): Relative percent deviation
(a): Coefficient of determination; (b): Root-mean-square error; (c): Relative percent deviation
Fig. 5. The model prediction performance on Heilongjiang data set (900 iterations)
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Table 1. List of strongly correlated wavebands for spectral data
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Table 2. Characteristic bands and model input wavelength selection
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Table 3. Spectral reconstruction effect of different automatic encoder structures
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Table 4. The parameters setting of convolution layers
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Table 5. The prediction performance of four models on different datasets(unit of RMSE: g·kg-1)
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