Spectroscopy and Spectral Analysis, Volume. 41, Issue 11, 3552(2021)
Classification of Impurities in Machine-Harvested Seed Cotton Using Hyperspectral Imaging
Fig. 2. Hyperspectral imaging system
1: CCD camera; 2: Spectrograph; 3: Lens; 4: Halogen lamps ;5: Sample; 6: Stage; 7: Controller; 8: Computer
Fig. 4. Eigenvalues and cumulative contribution rates of the first 6 principal components
Fig. 6. Scattering clusters of the first 2 variables of LDA
(a): All 6 types of materials; (b): Leaf, bell shell inner, stem
Fig. 10. Hyperspectral image classification results in pixel level
(a): Original image; (b): Classification result
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Jin-qiang CHANG, Ruo-yu ZHANG, Yu-jie PANG, Meng-yun ZHANG, Ya ZHA. Classification of Impurities in Machine-Harvested Seed Cotton Using Hyperspectral Imaging[J]. Spectroscopy and Spectral Analysis, 2021, 41(11): 3552
Category: Orginal Article
Received: Aug. 28, 2020
Accepted: --
Published Online: Dec. 17, 2021
The Author Email: Jin-qiang CHANG (changjinq@163.com)