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Target detection algorithm based on improved YOLOv11s UAV aerial image
Image Processing | 更新时间：2025-12-12

    • Target detection algorithm based on improved YOLOv11s UAV aerial image

    • “In the field of small object detection in drone aerial images, the HMD-YOLO algorithm effectively improves detection accuracy and efficiency by optimizing the model structure and loss function.”
    • Chinese Journal of Liquid Crystals and Displays   Vol. 40, Issue 11, Pages: 1744-1756(2025)

    • DOI：10.37188/CJLCD.2025-0193    

      CLC： TP391.4
    • CSTR：32172.14.CJLCD.2025-0193    

    • Received：17 September 2025，

      Revised：2025-09-30，

      Published：05 November 2025

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  • LÜ Xuehan, LI Fu, QI Mingrui, et al. Target detection algorithm based on improved YOLOv11s UAV aerial image[J]. Chinese Journal of Liquid Crystals and Displays, 2025, 40(11): 1744-1756. DOI： 10.37188/CJLCD.2025-0193. CSTR： 32172.14.CJLCD.2025-0193.

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LV Xuehan

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School of Computer Science School of Cyber Science and Engineering， Nanjing University of Information Science and Technology
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