Opto-Electronic Engineering, Volume. 49, Issue 9, 220007(2022)

Nighttime sea fog recognition based on remote sensing satellite and deep neural decision tree

Tao Li... Wei Jin*, Randi Fu, Gang Li and Caoqian Yin |Show fewer author(s)
Author Affiliations
  • Faculty of Electrical Engineering and Computer Science, Ningbo University, Ningbo, Zhejiang 315211, China
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    References(4)

    [5] [5] Zhou Z W, Siddiquee M M R, Tajbakhsh N, et al. UNet++: a nested U-Net architecture for medical image segmentation[M]//Stoyanov D, Taylor Z, Carneiro G, et al. Deep learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support. Cham: Springer, 2018: 3–11.

    [18] [18] Ioffe S, Szegedy C. Batch normalization: accelerating deep network training by reducing internal covariate shift[C]//Proceedings of the 32nd International Conference on International Conference on Machine Learning, 2015: 448–456.

    [19] [19] Wan A, Dunlap L, Ho D, et al. NBDT: neural-backed decision trees[Z]. arXiv: 2004.00221, 2020. https://arxiv.org/abs/2004.00221.

    [20] [20] He K M, Zhang X Y, Ren S Q, et al. Deep residual learning for image recognition[C]//2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016.

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    Tao Li, Wei Jin, Randi Fu, Gang Li, Caoqian Yin. Nighttime sea fog recognition based on remote sensing satellite and deep neural decision tree[J]. Opto-Electronic Engineering, 2022, 49(9): 220007

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    Paper Information

    Category: Article

    Received: Mar. 1, 2022

    Accepted: --

    Published Online: Oct. 13, 2022

    The Author Email: Jin Wei (xyjw1969@126.com)

    DOI:10.12086/oee.2022.220007

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