Spectroscopy and Spectral Analysis, Volume. 41, Issue 8, 2556(2021)

Chlorophyll Content Estimation of Northeast Japonica Rice Based on Improved Feature Band Selection and Hybrid Integrated Modeling

Tan LIU*, Tong-yu XU1; 2; *;, Feng-hua YU1; 2;, Qing-yun YUAN1; 2;, Zhong-hui GUO1;, and Bo XU1;
Author Affiliations
  • 1. College of Information and Electrical Engineering, Shenyang Agricultural University, Shenyang 110161, China
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    Figures & Tables(14)
    Location map of test site
    Spectral curves after SNV pretreatment
    Overall structure diagram of GPR-P model
    Results of correlation coefficient analysis
    Feature band selection results based on SPA algorithm(a): Number of the best feature bands in the sample model; (b): Distribution of extracted feature bands
    Each band selection probability based on fpb-RF algorithm
    Feature band selection results based on RF and fpb-RF algorithms(a): RF algorithm; (b): fpb-RF algorithm
    GPR-P model prediction results of different feature band extraction methods(a): CC-SPA algorithm; (b): RF algorithm; (c): fpb-RF algorithm
    PLSR model prediction results of different feature band extraction methods(a): CC-SPA algorithm; (b): RF algorithm; (c): fpb-RF algorithm
    LSSVM model prediction results of different feature band extraction methods(a): CC-SPA algorithm; (b): RF algorithm; (c): fpb-RF algorithm
    BP model prediction results of different feature band extraction methods(a): CC-SPA algorithm; (b): RF algorithm; (c): fpb-RF algorithm
    • Table 1. Statistics of chlorophyll content in rice

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      Table 1. Statistics of chlorophyll content in rice

      样本集样本数最大值/
      (mg·L-1)
      最小值/
      (mg·L-1)
      平均值/
      (mg·L-1)
      标准差/
      (mg·L-1)
      总样本10212.811 61.702 26.772 92.338 6
      训练集7712.811 61.702 26.700 62.416 8
      测试集2511.686 31.934 16.989 72.117 8
    • Table 2. Optimization results of RF and fpb-RF algorithms

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      Table 2. Optimization results of RF and fpb-RF algorithms

      方法迭代次数收敛时间/min均方根误差
      RF5 00015.21.314 0
      fpb-RF8002.11.232 8
    • Table 3. Evaluation index of prediction model

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      Table 3. Evaluation index of prediction model

      特征波段
      选取方法
      模型R2RMSE
      建模集测试集建模集测试集
      CC-SPACC-SPA-PLSR0.670 70.592 51.377 91.398 2
      RFRF-PLSR0.690 60.701 21.314 01.330 4
      fpb-RFfpb-RF-PLSR0.717 90.704 71.232 81.275 5
      CC-SPACC-SPA-LSSVM0.736 30.739 21.215 11.156 9
      RFRF-LSSVM0.760 10.757 91.184 51.071 7
      fpb-RFfpb-RF-LSSVM0.775 20.767 51.067 61.025 6
      CC-SPACC-SPA-BP0.740 50.746 41.207 21.066 0
      RFRF-BP0.763 90.765 01.184 11.048 9
      fpb-RFfpb-RF-PB0.770 40.766 21.162 81.022 3
      CC-SPACC-SPA-GPR-P0.755 30.760 11.090 21.035 7
      RFRF-GPR-P0.776 80.774 51.012 20.959 7
      fpb-RFfpb-RF-GPR-P0.781 50.779 60.904 10.928 3
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    Tan LIU, Tong-yu XU, Feng-hua YU, Qing-yun YUAN, Zhong-hui GUO, Bo XU. Chlorophyll Content Estimation of Northeast Japonica Rice Based on Improved Feature Band Selection and Hybrid Integrated Modeling[J]. Spectroscopy and Spectral Analysis, 2021, 41(8): 2556

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    Paper Information

    Category: Research Articles

    Received: Jun. 4, 2020

    Accepted: --

    Published Online: Sep. 8, 2021

    The Author Email: LIU Tan (liutan_0822@126.com)

    DOI:10.3964/j.issn.1000-0593(2021)08-2556-09

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