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Remote sensing scene classification model based on improved ShuffleNetV2 network
Image Processing | 更新时间：2024-11-28

    • Remote sensing scene classification model based on improved ShuffleNetV2 network

    • “The latest research proposes a remote sensing image classification method based on improved ShuffleNetV2 network and knowledge distillation, which effectively improves classification accuracy and reduces parameter count.”
    • Chinese Journal of Liquid Crystals and Displays   Vol. 39, Issue 11, Pages: 1557-1568(2024)

    • DOI：10.37188/CJLCD.2024-0148    

      CLC： TP751.1

    • Received：20 May 2024，

      Revised：30 June 2024，

      Published：05 November 2024

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  • XU Huiwen, ZHAO Weichao, LI Ze. Remote sensing scene classification model based on improved ShuffleNetV2 network[J]. Chinese journal of liquid crystals and displays, 2024, 39(11): 1557-1568. DOI： 10.37188/CJLCD.2024-0148.

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