Yan-de LIU, Shun WANG. Research on Non-Destructive Testing of Navel Orange Shelf Life Imaging Based on Hyperspectral Image and Spectrum Fusion[J]. Spectroscopy and Spectral Analysis, 2022, 42(6): 1792
- Spectroscopy and Spectral Analysis
- Vol. 42, Issue 6, 1792 (2022)
Fig. 1. Hyperspectral image of navel orange sample
(a): Day 0 navel orange; (b): Day 7 navel orange; (c): Day 14 navel orange
(a): Day 0 navel orange; (b): Day 7 navel orange; (c): Day 14 navel orange
Fig. 2. Comparison chart of representative spectra of navel oranges with different shelf life
Fig. 3. The prediction set classification results of RBF-kernel in LS-SVM
Fig. 4. The prediction set classification results of LIN-kernel in LS-SVM
Fig. 5. The prediction set classification results of LIN-kernel in LS-SVM
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Table 1. PLS-DA model results based on spectral characteristics
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Table 2. LS-SVM model results based on spectral characteristics
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Table 3. Results of PLS-DA model based on image features
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Table 4. LS-SVM model results based on image features
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Table 5. Results of PLS-DA model based on mixed features
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Table 6. LS-SVM model results based on mixed features
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Table 7. Result statistics of two qualitative discriminant models with different characteristics
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