Automatic Classification of Rock Spectral Features Based on Fusion Learning Model

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

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Fig. 2. Reflectance spectra of the whole samples

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Fig. 3. Reflectance spectra of granite

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Fig. 4. Reflectance spectra of limestone

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Fig. 5. Reflectance spectra of sandstone

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Table 1. Classification accuracy of rock spectra based on different models
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Table 1. Classification accuracy of rock spectra based on different models
模型准确率/%
DT 88.84
RF 93.80
KNN 97.10
SVM 98.76
融合模型(RF+KNN+SVM) 99.17

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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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