• Chinese Journal of Quantum Electronics
  • Vol. 41, Issue 3, 553 (2024)
YANG Miao1,*, ZHAN Ye2, FU Yuting3, and YANG Guang3
Author Affiliations
  • 1College of Electrical Engineering, Changchun Technical University of Automobile, Changchun 130013, China
  • 2College of Aviation Combat & Service, Aviation University of Air Force, Changchun , 130012, China
  • 3College of Instrumentation & Electrical Engineering, Jilin University, Changchun , 130061, China
  • show less
    DOI: 10.3969/j.issn.1007-5461.2024.03.017 Cite this Article
    Miao YANG, Ye ZHAN, Yuting FU, Guang YANG. Lithology analysis of rock with high repetition frequency laser⁃induced breakdown spectroscopy combined with convolutional neural network[J]. Chinese Journal of Quantum Electronics, 2024, 41(3): 553 Copy Citation Text show less
    References

    [1] Zhao X D, Luo Y X, Liu J J et al. Machine learning automated analysis of enormous synchrotron X-ray diffraction datasets[J]. The Journal of Physical Chemistry C, 127, 14830-14838(2023).

    [2] Bonanni V, Gianoncelli A. Soft X-ray fluorescence and near-edge absorption microscopy for investigating metabolic features in biological systems: A review[J]. International Journal of Molecular Sciences, 24, 3220(2023).

    [3] Li H C, Liu T Y, Fu Y C et al. Improving the accuracy of high-repetition-rate LIBS based on laser ablation and scanning parameters optimization[J]. Optics Express, 30, 37470-37483(2022).

    [4] Zhao Y, Guindo M L, Xu X et al. Deep learning associated with laser-induced breakdown spectroscopy (LIBS) for the prediction of lead in soil[J]. Applied Spectroscopy, 73, 565-573(2019).

    [5] Yan M G, Dong X Z, Li Y et al. Classification of geological samples with laser-induced breakdown spectroscopy based on self-organizing feature map network and correlation discrimination analysis[J]. Spectroscopy and Spectral Analysis, 38, 1874-1879(2018).

    [6] Yang F, Xu W M, Cui Z C et al. Convolutional neural network chemometrics for rock identification based on laser-induced breakdown spectroscopy data in Tianwen-1 pre-flight experiments[J]. Remote Sensing, 14, 5343(2022).

    [7] Song G D, Zhu S G, Zhang W H et al. Automatic rock classification of LIBS combined with 1DCNN based on an improved Bayesian optimization[J]. Applied Optics, 61, 10603-10614(2022).

    [8] Qu D M, Yang G, Jin X Y et al. Parameter optimization of microjoule high pulse repetition frequency laser induced breakdown spectroscopy for aluminum alloy identification[J]. Spectrochimica Acta, 209, 106794(2023).

    [9] Zeng G P. On the confusion matrix in credit scoring and its analytical properties[J]. Communications in Statistics - Theory and Methods, 49, 2080-2093(2020).

    [10] Diwu P Y, Bian X H, Wang Z F et al. Study on the selection of spectral preprocessing methods[J]. Spectroscopy and Spectral Analysis, 39, 2800-2806(2019).

    [11] Pu S S, Zheng E R, Chen B. Research on a classification algorithm of near-infrared spectroscopy based on 1D-CNN[J]. Spectroscopy and Spectral Analysis, 43, 2446-2451(2023).

    [12] Li X L, Kong W W, Liu X L et al. Application of laser-induced breakdown spectroscopy coupled with spectral matrix and convolutional neural network for identifying geographical origins of Gentiana rigescens franch[J]. Frontiers in Artificial Intelligence, 4, 735533(2021).

    [13] Wu X, Yang Y, Liu G et al. Pig individual recognition method based on transfer learning and improved ResNet34 for real environment[J]. Journal of Chinese Agricultural Mechanization, 44, 214-221(2023).

    Miao YANG, Ye ZHAN, Yuting FU, Guang YANG. Lithology analysis of rock with high repetition frequency laser⁃induced breakdown spectroscopy combined with convolutional neural network[J]. Chinese Journal of Quantum Electronics, 2024, 41(3): 553
    Download Citation