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Jun Cao [4]Junxing Cao [2]
  1.  4
    A Seismic Facies Classification Method Based on CNN-PFSSC.Zhege Liu, Junxing Cao, Yujia Lu, Shuna Chen & Jianli Liu - forthcoming - Interpretation:1-59.
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    Critical Reflection Illumination Analysis.Jun Cao & Joel D. Brewer - 2013 - Interpretation: SEG 1 (1):T57-T61.
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    Model-Based ILC with a Modified Q-Filter for Complex Motion Systems: Practical Considerations and Experimental Verification on a Wafer Stage.Fazhi Song, Yang Liu, Jun Cao, Li Li & Jiubin Tan - 2018 - Complexity 2018:1-11.
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  4. Ru Shang Xiu Yang: Ru Jia Zu Zhi Xing Wei Shi Jian de Dang Dai Yuan Ze.Jun Cao - 2008 - Dong Fang Chu Ban She.
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  5. Introduction to Special Section: Machine Learning in Seismic Data Analysis.Haibin Di, Tao Zhao, Vikram Jayaram, Xinming Wu, Lei Huang, Ghassan AlRegib, Jun Cao, Mauricio Araya-Polo, Satinder Chopra, Saleh Al-Dossary, Fangyu Li, Erwan Gloaguen, Youzuo Lin, Anne Solberg & Hongliu Zeng - 2019 - Interpretation 7 (3):SEi-SEii.
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  6. A Seismic Facies Classification Method Based on the Convolutional Neural Network and the Probabilistic Framework for Seismic Attributes and Spatial Classification.Zhege Liu, Junxing Cao, Yujia Lu, Shuna Chen & Jianli Liu - 2019 - Interpretation 7 (3):SE225-SE236.
    In the early stage of oil and gas exploration, due to the lack of available drilling data, the automatic seismic facies classification technology mainly relies on the unsupervised clustering method combined with the seismic multiattribute. However, the clustering results are unstable and have no clear geologic significance. The supervised classification method based on manual interpretation can provide corresponding geologic significance, but there are still some problems such as the discrete classification results and low accuracy. To solve these problems, inspired by (...)
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