Chinese Journal of Liquid Crystals and Displays, Volume. 40, Issue 9, 1308(2025)

Aerial small target detection algorithm based on context collaborative perception

Luxia YANG1,2, Zekai LIU1,2, Hongrui ZHANG1,2、*, and Yongjie MA3
Author Affiliations
  • 1School of Computer Science and Technology, Taiyuan Normal University, Jinzhong 030619, China
  • 2Shanxi Provincial Key Laboratory of Intelligent Optimization Computing and Blockchain Technology, Jinzhong 030619, China
  • 3School of Physics and Electronic Engineering, Northwest Normal University, Lanzhou 730070, China
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    Aiming at the problem of low detection accuracy of small targets caused by large scale change and complex background in aerial photography, a detection algorithm based on multi-scale collaborative perception of context is proposed. Firstly, a lightweight multi-scale enhancement module (LMEM) is constructed to activate local significance information with attention mechanism to enhance feature capture capability of small targets. Secondly, the context-driven cross-level feature fusion architecture module (CCFFAM) is designed. The integration of receptive field attention convolution and dynamic sampling technology realizes multi-layer feature space-channel dual alignment and adaptive weighted fusion to enhance feature fusion capability. Finally, the scale distribution of the detection head was reconstructed, and the original loss function was replaced with Focaler-CIoU to optimize the bounding box regression process, ensuring that the model is lightweight while having a high detection efficiency. Experiments on VisDrone2019 and DOTAv1 data sets show that the proposed method reduces the number of model parameters by 27.9% (2.17M) compared with the original model, and the mAP increases by 5.3% and 1.4% respectively, which verifies that the algorithm has a good detection effect.

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    Luxia YANG, Zekai LIU, Hongrui ZHANG, Yongjie MA. Aerial small target detection algorithm based on context collaborative perception[J]. Chinese Journal of Liquid Crystals and Displays, 2025, 40(9): 1308

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    Paper Information

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    Received: Apr. 25, 2025

    Accepted: --

    Published Online: Sep. 25, 2025

    The Author Email: Hongrui ZHANG (zhanghongrui@tynu.edu.cn)

    DOI:10.37188/CJLCD.2025-0095

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