Opto-Electronic Engineering, Volume. 50, Issue 6, 220341(2023)

A denoising algorithm based on neural network for side-scatter lidar signal

Yuzhao Ma1,*... Yanfeng Zhang1 and Shuai Feng2 |Show fewer author(s)
Author Affiliations
  • 1Tianjin Key Laboratory for Advanced Signal Processing, Civil Aviation University of China, Tianjin 300300, China
  • 2Engineering Techniques Training Center, Civil Aviation University of China, Tianjin 300300, China
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    References(3)

    [17] [17] Klambauer G, Unterthiner T, Mayr A, et al. Self-normalizing neural networks[C]//Proceedings of the 31st International Conference on Neural Information Processing Systems, 2017: 972–981.

    [21] [21] He K M, Zhang X Y, Ren S Q, et al. Deep residual learning for image recognition[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2016: 770–778. https://doi.org/10.1109/CVPR.2016.90.

    [22] [22] Woo S, Park J, Lee J Y, et al. CBAM: convolutional block attention module[C]//Proceedings of the 15th European Conference on Computer Vision (ECCV), 2018: 3–19. https://doi.org/10.1007/978-3-030-01234-2_1.

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    Yuzhao Ma, Yanfeng Zhang, Shuai Feng. A denoising algorithm based on neural network for side-scatter lidar signal[J]. Opto-Electronic Engineering, 2023, 50(6): 220341

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    Paper Information

    Category: Article

    Received: Dec. 15, 2022

    Accepted: Mar. 24, 2023

    Published Online: Aug. 9, 2023

    The Author Email:

    DOI:10.12086/oee.2023.220341

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