• Spectroscopy and Spectral Analysis
  • Vol. 41, Issue 10, 3051 (2021)
Yu-hui ZHAO*, Peng-cheng LU, Yu-bo LUO, and Peng SHAN
Author Affiliations
  • Northeastern University Qinhuangdao Campus, Qinhuangdao 066000, China
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    DOI: 10.3964/j.issn.1000-0593(2021)10-3051-07 Cite this Article
    Yu-hui ZHAO, Peng-cheng LU, Yu-bo LUO, Peng SHAN. NIR Calibration Transfer Method Based on Minimizing Mean Distribution Discrepancy[J]. Spectroscopy and Spectral Analysis, 2021, 41(10): 3051 Copy Citation Text show less
    Spectral difference between different instruments
    Fig. 1. Spectral difference between different instruments
    Scatter plots for prediction between instruments M5 and MP5 in SBC, PDS, CCACT, TCR, MSC and MCT
    Fig. 2. Scatter plots for prediction between instruments M5 and MP5 in SBC, PDS, CCACT, TCR, MSC and MCT
    Scatter plots for prediction between instruments M5 and MP6 in SBC, PDS, CCACT, TCR, MSC and MCT
    Fig. 3. Scatter plots for prediction between instruments M5 and MP6 in SBC, PDS, CCACT, TCR, MSC and MCT
    Scatter plots for prediction between instruments MP5 and MP6 in SBC, PDS, CCACT, TCR, MSC and MCT
    Fig. 4. Scatter plots for prediction between instruments MP5 and MP6 in SBC, PDS, CCACT, TCR, MSC and MCT
    Scatter plots for prediction between instruments A2 and A1 in SBC, PDS, CCACT, TCR, MSC and MCT
    Fig. 5. Scatter plots for prediction between instruments A2 and A1 in SBC, PDS, CCACT, TCR, MSC and MCT
    Scatter plots of prediction results between instruments A3 and A2 by SBC, PDS, CCACT, TCR, MSC and MCT
    Fig. 6. Scatter plots of prediction results between instruments A3 and A2 by SBC, PDS, CCACT, TCR, MSC and MCT
    Scatter plots of prediction results between instruments A2 and A3 by SBC, PDS, CCACT, TCR, MSC and MCT
    Fig. 7. Scatter plots of prediction results between instruments A2 and A3 by SBC, PDS, CCACT, TCR, MSC and MCT
    玉米数据集(水分)m5主仪器-mp5从仪器m5主仪器-mp6从仪器mp5主仪器-mp6从仪器
    迁移方法NRMSECRMSEPRMSECRMSEPRMSECRMSEP
    150.330.320.340.440.210.23
    SBC250.350.250.370.390.190.23
    350.320.270.370.360.190.24
    150.320.26(15a)0.540.43(7a)0.240.35(15a)
    PDS250.340.24(15a)0.600.47(9a)0.220.39(15a)
    350.320.24(15a)0.500.40(5a)0.230.35(15a)
    150.420.240.710.550.430.25
    CCACT250.390.260.600.420.410.25
    350.360.270.540.410.370.25
    TCR01.100.43(6b)1.300.47(4b)0.830.36(10b)
    MSC01.631.791.871.920.920.90
    MCT00.240.200.270.190.160.14
    Table 1. RMSEC and RMSEP of corn datasets with SBC, PDS, TCR, CCACT, MSC and MCT
    小麦数据集(蛋白质)A2主仪器-A1从仪器A3主仪器-A2从仪器A2主仪器-A3从仪器
    迁移方法NRMSECRMSEPRMSECRMSEPRMSECRMSEP
    150.640.598.748.660.440.48
    SBC250.580.568.267.080.540.48
    350.520.557.736.000.540.48
    152.202.68(5a)4.193.59(15a)1.811.52(7a)
    PDS251.812.11(15a)3.192.23(3a)1.581.41(15a)
    352.232.39(15a)2.422.07(3a)1.671.35(15a)
    152.672.362.702.253.262.03
    CCACT252.542.042.842.252.942.07
    352.531.202.462.062.751.90
    TCR04.332.42(18b)4.162.12(10b)4.151.92(18b)
    MSC01.631.393.801.251.431.22
    MCT00.380.532.450.630.420.30
    Table 2. RMSEC and RMSEP of wheat datasets with SBC, PDS, TCR, CCACT, MSC and MCT
    迁移
    方法
    slope
    m5-mp5m5-mp6mp5-mp6A2-A1A3-A2A2-A3
    SBC0.580.550.681.111.651.12
    PDS1.66-1.842.301.620.561.72
    CCACT1.82-2.693.8422.55164.78163.26
    TCR0.01-0.010.150.912.221.03
    MSC-0.10-0.24-0.010.670.640.69
    MCT1.060.741.020.931.020.99
    Table 3. Slope comparison of predicted results of SBC, PDS, TCR, CCACT, MSC and MCT
    Yu-hui ZHAO, Peng-cheng LU, Yu-bo LUO, Peng SHAN. NIR Calibration Transfer Method Based on Minimizing Mean Distribution Discrepancy[J]. Spectroscopy and Spectral Analysis, 2021, 41(10): 3051
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