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Lightweight algorithm for small object detection in UAV images
Image Processing | 更新时间：2026-03-02

    • Lightweight algorithm for small object detection in UAV images

    • “Experts have proposed the PRSU-YOLO model to address the challenge of detecting small targets in drone imagery. Through innovative module design and optimization, the model significantly improves detection accuracy, effectively controls computational costs, and provides an effective solution for ground observation target detection by drones.”
    • Chinese Journal of Liquid Crystals and Displays   Vol. 41, Issue 2, Pages: 253-266(2026)

    • DOI：10.37188/CJLCD.2025-0250    

      CLC： TP391.4
    • CSTR：32172.14.CJLCD.2025-0250    

    • Received：16 December 2025，

      Revised：2026-01-21，

      Published：05 February 2026

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  • LUO Kexin, LI Songjiang, WANG Peng, et al. Lightweight algorithm for small object detection in UAV images[J]. Chinese Journal of Liquid Crystals and Displays, 2026, 41(2): 253-266. DOI： 10.37188/CJLCD.2025-0250. CSTR： 32172.14.CJLCD.2025-0250.

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