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Neural architecture search combined with efficient attention for hyperspectral image classification
Image Processing | 更新时间：2025-04-09

    • Neural architecture search combined with efficient attention for hyperspectral image classification

    • “In the field of hyperspectral classification, researchers have proposed a neural architecture search algorithm that combines efficient attention mechanisms, achieving automatic design of deep learning networks and improving classification accuracy and algorithm design efficiency.”
    • Chinese Journal of Liquid Crystals and Displays   Vol. 40, Issue 4, Pages: 630-641(2025)

    • DOI：10.37188/CJLCD.2024-0254    

      CLC： TP391
    • CSTR：32172.14.CJLCD.2024-0254    

    • Received：28 August 2024，

      Revised：24 September 2024，

      Published：05 April 2025

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  • CHEN Haisong, ZHANG Kang, LÜ Haoran, et al. Neural architecture search combined with efficient attention for hyperspectral image classification[J]. Chinese journal of liquid crystals and displays, 2025, 40(4): 630-641. DOI： 10.37188/CJLCD.2024-0254. CSTR： 32172.14.CJLCD.2024-0254.

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