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    • ADC-CPANet：A remote sensing image classification method based on local-global feature fusion

    • “In the field of remote sensing image scene classification, experts have designed the ADC-CPANet model, which achieves a high classification accuracy of 96.43% through local and global feature extraction.”
    • Vol. 28, Issue 10, Pages: 2661-2672(2024)   

      Received：07 December 2022，

      Published：07 October 2024

    • DOI： 10.11834/jrs.20232658     

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  • Wang W，Li X J and Wang X. 2024. ADC-CPANet：A remote sensing image classification method based on local-global feature fusion. National Remote Sensing Bulletin， 28（10）：2661-2672 DOI： 10.11834/jrs.20232658.
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Li Xijie 长沙理工大学 计算机与通信工程学院
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