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Improved YOLOv5s algorithm for target detection in hyperspectral remote sensing images
更新时间：2025-07-22

    • Improved YOLOv5s algorithm for target detection in hyperspectral remote sensing images

    • “In the field of hyperspectral image object detection, experts have proposed an image object detection method based on the improved YOLOv5s algorithm, which effectively distinguishes small spectral feature differences in images, avoids spectral confusion, and ensures detection accuracy.”
    • Journal of Jilin University(Engineering and Technology Edition)   Vol. 55, Issue 5, Pages: 1742-1748(2025)
    • 作者机构：

      黑龙江八一农垦大学 信息与电气工程学院，黑龙江 大庆 163319

    • DOI：10.13229/j.cnki.jdxbgxb.20240459    

      CLC： TP123

    • Received：28 April 2024，

      Published：01 May 2025

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  • TIAN Li,JIA Yu-hui.Improved YOLOv5s algorithm for target detection in hyperspectral remote sensing images[J].Journal of Jilin University(Engineering and Technology Edition),2025,55(05):1742-1748. DOI： 10.13229/j.cnki.jdxbgxb.20240459.

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