Ye-lan WU, Yi-yu CHEN, Xiao-qin LIAN, Yu LIAO, Chao GAO, Hui-ning GUAN, Chong-chong YU. Study on the Identification Method of Citrus Leaves Based on Hyperspectral Imaging Technique[J]. Spectroscopy and Spectral Analysis, 2021, 41(12): 3837
- Spectroscopy and Spectral Analysis
- Vol. 41, Issue 12, 3837 (2021)
Fig. 1. Hyperspectral imaging system
Fig. 2. Hyperspectral images of leaves of five citrus species
Fig. 3. Spectral curves of 13 250 samples
Fig. 4. Average spectral curves of five types of leaves
Fig. 5. The first four principal component load curves of the original spectrum
Fig. 6. Sample distribution scatter diagram
Figure (a), (b), (c) and (d) respectively represent the scatter plots of sample distribution using original spectra and the spectra after preprocessing by 1st Der, MSC and SNV
Figure (a), (b), (c) and (d) respectively represent the scatter plots of sample distribution using original spectra and the spectra after preprocessing by 1st Der, MSC and SNV
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Table 1. Modeling results of full-band data
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Table 2. PCA characteristic wavelength modeling results
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Table 3. Modeling results under different pretreatment methods of all-band and PCA wavelength data
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