• Spectroscopy and Spectral Analysis
  • Vol. 42, Issue 3, 873 (2022)
Qing-lin TIAN1,*, Bang-jie GUO1,1;, Fa-wang YE1,1;, Yao LI2,2;..., Peng-fei LIU1,1; and Xue-jiao CHEN1,1;|Show fewer author(s)
Author Affiliations
  • 11. National Key Laboratory of Remote Sensing Information and Image Analysis Technology, Beijing Research Institute of Uranium Geology, Beijing 100029, China
  • 22. Zachry Department of Civil and Environmental Engineering, Texas A&M University, Texas 77843, USA
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    DOI: 10.3964/j.issn.1000-0593(2022)03-0873-05 Cite this Article
    Qing-lin TIAN, Bang-jie GUO, Fa-wang YE, Yao LI, Peng-fei LIU, Xue-jiao CHEN. Mineral Spectra Classification Based on One-Dimensional Dilated Convolutional Neural Network[J]. Spectroscopy and Spectral Analysis, 2022, 42(3): 873 Copy Citation Text show less
    References

    [3] Y Cheng F, M Jia G, F Yang J et al. Chinese Journal of Aeronautics, 31, 2280(2018).

    [4] C Sun Y, X Yu M, F Zhu B et al. Neurocomputing, 378, 270(2020).

    [5] B Kingsbury, N Sainath T, G Saon et al. Neural Networks, 64, 39(2015).

    [6] J Gu, J Kuen, Z Wang et al. Pattern Rocognition, 77, 354(2018).

    [10] C Chen L, I Kokkinos, G Papandreou et al. Deaplab: Semantic Image Sengmentation With Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs, IEEE Transactions on Pattern Analysis and Machine Intelligence(2018).

    Qing-lin TIAN, Bang-jie GUO, Fa-wang YE, Yao LI, Peng-fei LIU, Xue-jiao CHEN. Mineral Spectra Classification Based on One-Dimensional Dilated Convolutional Neural Network[J]. Spectroscopy and Spectral Analysis, 2022, 42(3): 873
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