Spectroscopy and Spectral Analysis, Volume. 40, Issue 12, 3772(2020)
Research on Feature Extraction of Near-Infrared Spectroscopy Based on Joint Matrix Local Preserving Projection
Figures & Tables(8)
Fig. 1. Refined search of
(a):
Fig. 2. Refined search of
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Table 1. Sample partition of cluster feature extraction experiment
View tableView in ArticleTable 1. Sample partition of cluster feature extraction experiment
成熟度 训练样本 测试样本 部位 训练样本 测试样本 成熟 120 40 上部 120 40 尚熟 98 32 中部 120 40 假熟 98 32 下部 98 32
Table 2. Comparison of tobacco leaf grading results%
View tableView in ArticleTable 2. Comparison of tobacco leaf grading results%
B2V B1F C4F C1L X2L 总体准确率 全谱段 58.9 62.8 65.0 70.2 68.6 65.1 PCA 63.1 69.5 64.2 71.1 69.6 67.5 LPP 79.8 80.4 75.9 73.6 81.8 78.3 JMLPP 96.7 95.7 89.1 94.9 92.6 93.8
Table 3. Comparison of sensitivity and specificity of tobacco leaf classification algorithms
View tableView in ArticleTable 3. Comparison of sensitivity and specificity of tobacco leaf classification algorithms
敏感度/% 特异度/% B2V B1F C4F C1L X2L B2V B1F C4F C1L X2L 全谱段 67.1 66.4 63.2 65.1 64.3 88.3 87.2 89.6 87.2 88.5 PCA 67.3 70.1 67.6 66.2 65.2 89.3 90.2 91.3 88.6 89.4 LPP 80.5 79.8 76.3 78.1 77.4 96.1 94.8 95.3 94.6 92.8 JMLPP 95.2 93.1 94.2 92.1 92.5 99.3 98.4 98.6 97.5 97.0
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Shan-ke HU, Yu-hua QIN, Ru-min DUAN, Li-jun WU, Hui-li GONG. Research on Feature Extraction of Near-Infrared Spectroscopy Based on Joint Matrix Local Preserving Projection[J]. Spectroscopy and Spectral Analysis, 2020, 40(12): 3772
Paper Information
Category: Research Articles
Received: Nov. 10, 2019
Accepted: --
Published Online: Jun. 18, 2021
The Author Email: Shan-ke HU (1020447071@qq.com)
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