Spectroscopy and Spectral Analysis, Volume. 41, Issue 7, 2028(2021)

Near-Infrared Spectral Feature Selection of Water-Bearing Rocks Based on Mutual Information

Xiu-lian ZHANG1、*, Fang ZHANG1、1; 2; *;, Nuan ZHOU1、1; 2;, Jing-jie ZHANG1、1; 2;, Wen-fang LIU3、3;, Shuai ZHANG1、1; 2;, and Xiao-jie YANG1、1; 2;
Author Affiliations
  • 11. State Key Laboratory for Geomechanics and Deep Underground Engineering, China University of Mining and Technology, Beijing 100083, China
  • 33. College of Resources and Civil Engineering, Northeastern University, Shenyang 110004, China
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    Figures & Tables(14)
    (a) Water sorption test system and near-infrared testing device; (b) schematic diagram of the experimental setup
    Visible light map of the conglomerate water absorption process(a): 409 s; (b): 558 s; (c): 704 s; (d): 775 s; (e): 1 224 s
    Near-infrared spectrum of conglomerate point 1(a): Original spectrum; (b): NPS+B-corr pre-processed spectrum
    Schematic diagram of initial characteristic variables
    Peak height of water content and water content level partition(a): Point 1; (b): Point 2; (c): Point 3
    Water content level C-feature f scatter plot(a): Height-C; (b): LHW-C; (c): RHW-C
    The accuracies of the decision tree classifier for peak R1 (a) and peak R2 (b)
    • Table 1. Basic information of the conglomerate samples

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      Table 1. Basic information of the conglomerate samples

      岩性外貌描述颜色干燥后质量/g尺寸/mm
      砾岩疏松多孔, 块状结构青灰色922.60约为80×90×60
    • Table 2. Mineral composition of the conglomerate samples

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      Table 2. Mineral composition of the conglomerate samples

      岩性石英/%钾长石/%钠长石/%方解石/%白云石/%角闪石/%石盐/%黏土矿物总量/%
      砾岩30.42.223.511.89.72.06.913.5
    • Table 3. Experimental parameters of near infrared spectrometer acquisition system

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      Table 3. Experimental parameters of near infrared spectrometer acquisition system

      探头类型反射探头
      采样方式漫反射-固体
      光谱范围400~2 500 nm
      测样角度90°
      测试方式直接与样品接触
    • Table 4. Initial characteristic variables of near-infrared spectra at 1 450 nm (only part of data listed)

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      Table 4. Initial characteristic variables of near-infrared spectra at 1 450 nm (only part of data listed)

      特征值Ff1
      /nm
      f2
      /nm
      f3
      /nm
      f4
      /nm
      f5
      /nm
      f6
      O1-10.00636.7020.29417.64119.0610.925
      O1-20.014103.2421.62821.97181.2710.270
      O1-30.071118.6209.146352.16166.4600.784 8
      O3-160.157119.69420.56253.40966.2850.806
      均值0.079110.14610.43947.65262.4940.770
      标准方差0.04126.5405.51212.99014.8500.120
      最大值0.177123.64923.95254.43481.2710.938
      最小值0.00536.0320.27916.30518.5890.270
    • Table 5. Normalized initial characteristic variables of near-infrared spectra at 1 450 nm (only part of data listed)

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      Table 5. Normalized initial characteristic variables of near-infrared spectra at 1 450 nm (only part of data listed)

      特征值Ff1/nmf2/nmf3/nmf4/nmf5/nmf6
      O1-10.005 80.007 60.000 60.035 00.007 50.980 5
      O1-20.052 30.767 10.057 00.148 61.000 00.000 0
      O1-30.383 70.942 60.374 60.940 40.763 70.770 7
      O3-160.883 70.954 90.856 80.973 10.760 90.802 4
      均值0.432 60.845 90.429 20.822 10.700 40.747 9
      标准方差0.040 626.540 25.511 812.989 614.850 30.120 3
      最大值1.000 01.000 01.000 01.000 01.000 01.000 0
      最小值0.000 00.000 00.000 00.000 00.000 00.000 0
    • Table 6. Mutual information values of characteristic variables and water content levels

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      Table 6. Mutual information values of characteristic variables and water content levels

      吸收峰I(C, Height)I(C, LHW)I(C, RHW)
      R10.618 80.553 80.675 3
      R20.584 00.529 80.530 6
    • Table 7. MIC values for correlation between the characteristic variables and water content levels

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      Table 7. MIC values for correlation between the characteristic variables and water content levels

      吸收峰MIC(C, Height)MIC(C, LHW)MIC(C, RHW)
      R10.692 30.787 10.609 5
      R20.716 30.787 10.370 6
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    Xiu-lian ZHANG, Fang ZHANG, Nuan ZHOU, Jing-jie ZHANG, Wen-fang LIU, Shuai ZHANG, Xiao-jie YANG. Near-Infrared Spectral Feature Selection of Water-Bearing Rocks Based on Mutual Information[J]. Spectroscopy and Spectral Analysis, 2021, 41(7): 2028

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    Paper Information

    Category: Research Articles

    Received: May. 26, 2020

    Accepted: --

    Published Online: Sep. 8, 2021

    The Author Email: Xiu-lian ZHANG (xiulian1985@163.com)

    DOI:10.3964/j.issn.1000-0593(2021)07-2028-08

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