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Hyperspectral image classification based on multi-branch spatial-spectral feature enhancement
Image Processing | 更新时间：2024-06-27
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    • Hyperspectral image classification based on multi-branch spatial-spectral feature enhancement

    • “In the field of hyperspectral image classification, researchers have proposed a novel model SSFE-MBACNN, which effectively improves classification accuracy through multi branch feature extraction and attention mechanism, providing innovative solutions to solve the problems of noise interference and insufficient samples.”
    • Chinese Journal of Liquid Crystals and Displays   Vol. 39, Issue 6, Pages: 844-855(2024)

    • DOI：10.37188/CJLCD.2023-0158    

      CLC： TP751

    • Received：28 April 2023，

      Revised：25 May 2023，

      Published：05 June 2024

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  • LI Tie, LI Wenxu, WANG Junguo, et al. Hyperspectral image classification based on multi-branch spatial-spectral feature enhancement[J]. Chinese journal of liquid crystals and displays, 2024, 39(6): 844-855. DOI： 10.37188/CJLCD.2023-0158.

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