Laser & Optoelectronics Progress, Volume. 61, Issue 18, 1828006(2024)

Remote-Sensing Scene Classification Based on Memristor Convolutional Neural Network

Yibo Zhao1,2、*, Yi Zhang1,2, Chengcheng Yu1,2, and Qing Yang1,2
Author Affiliations
  • 1School of Electronic & Information Engineering, Nanjing University of Information Science & Technology, Nanjing 210044, Jiangsu, China
  • 2Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, Nanjing University of Information Science & Technology, Nanjing, 210044, Jiangsu, China
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    References(41)

    [16] He Q, Zhang J Y, Huang D M et al. RA-ProtoNet: classification based on meta-learning for few-shot remote sensing scene[J]. Laser & Optoelectronics Progress, 60, 1028003(2023).

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    Yibo Zhao, Yi Zhang, Chengcheng Yu, Qing Yang. Remote-Sensing Scene Classification Based on Memristor Convolutional Neural Network[J]. Laser & Optoelectronics Progress, 2024, 61(18): 1828006

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    Paper Information

    Category: Remote Sensing and Sensors

    Received: Jan. 19, 2024

    Accepted: Mar. 4, 2024

    Published Online: Sep. 9, 2024

    The Author Email: Yibo Zhao (yibozhaodn@163.com)

    DOI:10.3788/LOP240560

    CSTR:32186.14.LOP240560

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