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Lightweight frequency and spatial feature fused multi-scale remote sensing scene classification network
更新时间：2026-02-03

    • Lightweight frequency and spatial feature fused multi-scale remote sensing scene classification network

    • “A new breakthrough has been made in the field of remote sensing image classification. Experts have designed the FS-LMFFNet network, which integrates frequency and spatial features to effectively solve the problem of land cover classification. The experimental accuracy is as high as 99.10%, providing new ideas for remote sensing image classification.”
    • Journal of Jilin University(Engineering and Technology Edition)   Vol. 55, Issue 10, Pages: 3361-3371(2025)
    • 作者机构：

      长沙理工大学 计算机与通信工程学院， 长沙 410114

    • DOI：10.13229/j.cnki.jdxbgxb.20240054    

      CLC： TP391.4

    • Received：15 January 2024，

      Published：01 October 2025

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  • WANG Wei,SUN Yu-jie,WANG Xin.Lightweight frequency and spatial feature fused multi-scale remote sensing scene classification network[J].Journal of Jilin University(Engineering and Technology Edition),2025,55(10):3361-3371. DOI： 10.13229/j.cnki.jdxbgxb.20240054.

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