Maize Seed Variety Classification Using the Integration of Spectral and Image Features Combined with Feature Transformation Based on Hyperspectral Imaging
Abstract
:1. Introduction
2. Materials and Methods
2.1. Maize Seeds
2.2. Hyperspectral Reflectance Imaging Ccquisition and Correction
2.3. Spectral and Image Feature Extraction
2.3.1. Image Segmentation and Spectral Feature Extraction
2.3.2. Optimal Wavelength Selection
2.3.3. Image Feature Extraction
2.4. Feature Integration and Transformation/Reduction
2.5. Developing Classification Models Based on LS–SVM
3. Results
3.1. Characteristics of the Spectral Features of Maize Seeds
3.2. Classification Results Using the Integration of Spectral and Image Features Based on the Optimal Wavelengths
3.3. Classification Results Using the Integration of Spectral and Image Features Combined with the Feature Transformation/Reduction Method
4. Conclusions
Acknowledgments
Author Contributions
Conflicts of Interest
References
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Variety | The Training Accuracy | The Test Accuracy | ||||
---|---|---|---|---|---|---|
None | PCA | MDS | None | PCA | MDS | |
BNA07 | 99.06% | 99.84% | 100% | 87.82% | 95.00% | 94.69% |
SNN12 | 97.97% | 99.84% | 99.69% | 76.88% | 91.54% | 92.19% |
Bositian8 | 98.28% | 100% | 100% | 74.38% | 86.56% | 85.00% |
Gumang178 | 100% | 100% | 100% | 95.32% | 97.82% | 98.44% |
Huayu11 | 99.38% | 100% | 100% | 77.81% | 94.07% | 95.63% |
Jizaojinxiangnuo | 100% | 100% | 100% | 91.57% | 95.94% | 95.00% |
Jinnuowang | 96.88% | 100% | 100% | 86.25% | 94.07% | 94.69% |
Jinsaitian | 98.13% | 99.53% | 99.53% | 81.25% | 92.50% | 89.38% |
Jingketian195 | 97.97% | 99.69% | 99.53% | 84.06% | 83.75% | 84.38% |
Lianyu16 | 97.50% | 99.69% | 99.84% | 83.44% | 94.69% | 93.44% |
Nongda108 | 98.13% | 99.69% | 99.68% | 85.32% | 94.07% | 94.69% |
Sida205 | 98.75% | 100% | 100% | 85.00% | 85.32% | 85.63% |
Wannuo11 | 97.50% | 100% | 99.84% | 78.75% | 91.25% | 90.32% |
Xiangtiannianyumi | 99.06% | 99.53% | 99.69% | 71.88% | 90.63% | 91.56% |
Yudan998 | 99.84% | 99.84% | 100% | 95.94% | 97.81% | 96.88% |
Zhendan958 | 99.06% | 100% | 100% | 92.50% | 99.38% | 98.13% |
Zhongnongdatian413 | 98.59% | 99.84% | 100% | 74.38% | 90.94% | 87.19% |
Average | 98.69% | 99.85% | 99.87% | 83.68% | 92.65% | 92.19% |
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Huang, M.; He, C.; Zhu, Q.; Qin, J. Maize Seed Variety Classification Using the Integration of Spectral and Image Features Combined with Feature Transformation Based on Hyperspectral Imaging. Appl. Sci. 2016, 6, 183. https://doi.org/10.3390/app6060183
Huang M, He C, Zhu Q, Qin J. Maize Seed Variety Classification Using the Integration of Spectral and Image Features Combined with Feature Transformation Based on Hyperspectral Imaging. Applied Sciences. 2016; 6(6):183. https://doi.org/10.3390/app6060183
Chicago/Turabian StyleHuang, Min, Chujie He, Qibing Zhu, and Jianwei Qin. 2016. "Maize Seed Variety Classification Using the Integration of Spectral and Image Features Combined with Feature Transformation Based on Hyperspectral Imaging" Applied Sciences 6, no. 6: 183. https://doi.org/10.3390/app6060183