• Spectroscopy and Spectral Analysis
  • Vol. 41, Issue 1, 141 (2021)
Jin-xin HE1、1、*, Xiao-yu REN1、1, Sheng-bo CHEN1、1, Yue XIONG1、1, Zhi-qiang XIAO1、1, and Hai ZHOU1、1
Author Affiliations
  • 1[in Chinese]
  • 11. College of Earth Sciences, Jilin University, Changchun 130061, China
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    DOI: 10.3964/j.issn.1000-0593(2021)01-0141-04 Cite this Article
    Jin-xin HE, Xiao-yu REN, Sheng-bo CHEN, Yue XIONG, Zhi-qiang XIAO, Hai ZHOU. Automatic Classification of Rock Spectral Features Based on Fusion Learning Model[J]. Spectroscopy and Spectral Analysis, 2021, 41(1): 141 Copy Citation Text show less
    Distribution of rocks in the study area1: Quaternary: Gravel, Loess, silty Clay; 2: Diorite; 3: Limestone; 4: Granite 5: Sandstone; 6: Andesite; 7: Basalt
    Fig. 1. Distribution of rocks in the study area
    1: Quaternary: Gravel, Loess, silty Clay; 2: Diorite; 3: Limestone; 4: Granite 5: Sandstone; 6: Andesite; 7: Basalt
    Reflectance spectra of the whole samples
    Fig. 2. Reflectance spectra of the whole samples
    Reflectance spectra of granite
    Fig. 3. Reflectance spectra of granite
    Reflectance spectra of limestone
    Fig. 4. Reflectance spectra of limestone
    Reflectance spectra of sandstone
    Fig. 5. Reflectance spectra of sandstone
    模型准确率/%
    DT88.84
    RF93.80
    KNN97.10
    SVM98.76
    融合模型(RF+KNN+SVM)99.17
    Table 1. Classification accuracy of rock spectra based on different models
    Jin-xin HE, Xiao-yu REN, Sheng-bo CHEN, Yue XIONG, Zhi-qiang XIAO, Hai ZHOU. Automatic Classification of Rock Spectral Features Based on Fusion Learning Model[J]. Spectroscopy and Spectral Analysis, 2021, 41(1): 141
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