Acta Photonica Sinica, Volume. 50, Issue 11, 1128002(2021)

Scene Classification of Optical High-resolution Remote Sensing Images Using Vision Transformer and Graph Convolutional Network

Jianan WANG1... Yue GAO1,*, Jun SHI2 and Ziqi LIU1 |Show fewer author(s)
Author Affiliations
  • 1Space Star Technology Co.,Ltd.,Beijing 100095,China
  • 2School of Software,Hefei University of Technology,Hefei 230601,China
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    References(23)

    [1] A KRIZHEVSKY, I SUTSKEVER, G E HINTON. ImageNet classification with deep convolutional neural networks, 1097-1105(2012).

    [19] Xiaoyong BIAN, Xiongjun FEI, Nan MU. Remote sensing image scene classification based on scale-attention network. Journal of Computer Applications, 40, 872-877(2020).

    [20] A DOSOVITSKIY, L BEYER, A KOLESNIKOV et al. An image is worth 16 × 16 words: Transformers for image recognition at scale. arXiv preprint, arXiv(2020).

    [21] T N KIPF, M WELLING. Semi-supervised classification with graph convolutional networks. arXiv preprint, arXiv(2017).

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    Jianan WANG, Yue GAO, Jun SHI, Ziqi LIU. Scene Classification of Optical High-resolution Remote Sensing Images Using Vision Transformer and Graph Convolutional Network[J]. Acta Photonica Sinica, 2021, 50(11): 1128002

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    Paper Information

    Category: Remote Sensing and Sensors

    Received: May. 25, 2021

    Accepted: Jul. 26, 2021

    Published Online: Dec. 2, 2021

    The Author Email: GAO Yue (bjlguniversity@163.com)

    DOI:10.3788/gzxb20215011.1128002

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