Chinese Journal of Liquid Crystals and Displays, Volume. 38, Issue 3, 368(2023)

Hyperspectral image classification based on multi-scale hybrid convolutional network

Yun YANG*, Yao ZHOU, and Jia-ning CHEN
Author Affiliations
  • School of Electronic Information and Artificial Intelligence,Shaanxi University of Science & Technology,Xi'an 710021,China
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    References(21)

    [3] XU M S, LEI S G, YANG X C et al. Analysis of vegetation coverage and diversity of dump based on hyperspectral remote sensing[J]. Chinese Journal of Ecology, 41, 603-609(2022).

    [4] LI Y S, LI H K, XU F. Research progress of hyperspectral remote sensing monitoring in mine environmental contamination[J]. Nonferrous Metals Science and Engineering, 13, 108-114(2022).

    [16] LIAO J L, ZHANG L, ZHOU X S et al. A hyperspectral image vegetation classification method using 2D-3D CNNs and vegetation index[J]. Science Technology and Engineering, 21, 11656-11662(2021).

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    Yun YANG, Yao ZHOU, Jia-ning CHEN. Hyperspectral image classification based on multi-scale hybrid convolutional network[J]. Chinese Journal of Liquid Crystals and Displays, 2023, 38(3): 368

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    Paper Information

    Category: Research Articles

    Received: Jul. 1, 2022

    Accepted: --

    Published Online: Apr. 3, 2023

    The Author Email: Yun YANG (yangyun0806@163.com)

    DOI:10.37188/CJLCD.2022-0225

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