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Analysis of hyperspectral image based on multi-scale cascaded convolutional neural network
更新时间：2025-05-26

    • Analysis of hyperspectral image based on multi-scale cascaded convolutional neural network

    • “In the field of leaf hyperspectral image modeling, experts have proposed multi-scale 3D and 1D cascaded convolutional neural network models, which effectively improve the generalization performance of the model under small sample conditions and reduce computational complexity.”
    • Journal of Jilin University(Engineering and Technology Edition)   Vol. 53, Issue 12, Pages: 3547-3557(2023)
    • 作者机构：

      1.浙江工业大学 机械工程学院， 杭州 310023

      2.浙大城市学院 计算机与计算科学学院， 杭州 310015

      3.智能植物工厂浙江省工程实验室， 杭州 310015

      4.浙江大学 计算机科学与技术学院， 杭州 310027

    • DOI：10.13229/j.cnki.jdxbgxb.20220096    

      CLC： S24

    • Received：25 January 2022，

      Published：01 December 2023

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  • ZHU Feng-le,LIU Yi,QIAO Xin,et al.Analysis of hyperspectral image based on multi-scale cascaded convolutional neural network[J].Journal of Jilin University(Engineering and Technology Edition),2023,53(12):3547-3557. DOI： 10.13229/j.cnki.jdxbgxb.20220096.

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