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Rock classification model based on transfer learning and convolutional neural network

Published: 29 October 2021 Publication History
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References

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Liu Y, Cheng GJ, Ma W & Guo Chao. (2016). Rock classification based on color space and morphological gradients of cast thin section images. Journal of Central South University (Natural Science Edition) (07), 2375-2382.
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Wang, P.Y. & Wang, Shuhong. (2019). A method for identifying four common slope rock classes and determining the boundary extent. Journal of Geotechnical Engineering (08), 1505-1512.
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Zhang Q, Jin Weizhun, Li Chengdong & Wang Yuanlong. 2010 A new genus of the genus Gastrodia (Coleoptera, Staphylinidae) from China. (2010). Re-discussing the classification of granites according to Sr-Yb: signatures. Journal of Petrology (04), 985-1015.
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Wei, J., Zhu, J., Sun, L. & Guo, Y. Min. (2013). Application of spectral enhancement technique in lithology identification of hyperspectral data. Resource Development and Marketing (11), 1123-1126+1188+1120.
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MŁYNARCZUK, Mariusz; GÓRSZCZYK, Andrzej; ŚLIPEK, Bartłomiej. The application of pattern recognition in the automatic classification of microscopic rock images. Computers & Geosciences, 2013, 60: 126-133.
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Lu, Hongtao & Zhang, Qinchuan. (2016). A review of research on the application of deep convolutional neural networks in computer vision. Data Acquisition and Processing (01), 1-17.
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Liu, J.W., Liu, Y. & Luo, X.L. (2014). Advances in deep learning research. Computer Applications Research (07), 1921-1930+1942.
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Xu Lei. (2016). The development status and prospect of machine vision technology. Equipment Management and Maintenance (09), 7-9.
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MARMO, Roberto, Textural identification of carbonate rocks by image processing and neural network: Methodology proposal and examples. Computers & geosciences, 2005, 31.5: 649-659.
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Cheng, G. J., Yang, J., Huang, Q. Z. & Liu, Y. (2013). Research on rock thin section image classification and recognition based on probabilistic neural network. Science Technology and Engineering (31), 9231-9235.
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Cheng, G.J.,Guo, W.H. & Fan, P.Z. (2017). Rock image classification based on convolutional neural network. Journal of Xi'an University of Petroleum (Natural Science Edition) (04), 116-122.
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PAN, Sinno Jialin; YANG, Qiang. A survey on transfer learning. IEEE Transactions on knowledge and data engineering, 2009, 22.10: 1345-1359.
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YOSINSKI, Jason, How transferable are features in deep neural networks?. arXiv preprint arXiv:1411.1792, 2014.

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          ICIIP '21: Proceedings of the 6th International Conference on Intelligent Information Processing
          July 2021
          347 pages
          ISBN:9781450390637
          DOI:10.1145/3480571
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          Published: 29 October 2021

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          Author Tags

          1. Convolutional neural network
          2. Finetune
          3. Rock classification
          4. Transfer learning
          5. VGG16 model

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