Electro-Optic Technology Application, Volume. 40, Issue 2, 41(2025)

Research on Infrared Target Detection Algorithm Based on Deep Learning

SHU Xiaofang1, GUAN Tiantian2, WU Zhuokun2, and XU Shiwei2
Author Affiliations
  • 1National Key Laboratory of Electromagnetic Space Security, Tianjin, China
  • 2Academy of Opto-Electronics, China Electronics Technology Group Corporation (AOE CETC), Tianjin, China
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    References(5)

    [1] [1] BAE T W, SOHNG K I. Small target detection using bilateral filter based on edge component[J]. Journal of Infrared Millimeter and Terahertz Waves, 2010, 31(6): 735-743.

    [2] [2] ZHU H, LIU S, DENG L, et al. Infrared small target detection via low-rank tensor completion with top-hat regularization[J]. IEEE Transactions on Geoscience and Remote Sensing, 2019, 58(2): 1004-1016.

    [3] [3] GIRSHICK R. Fast R-CNN[C]//Proceedings of the IEEE International Conference on Computer Vision. New York: IEEE, 2015: 1440-1448.

    [4] [4] REDMON J, DIVVALA S, GIRSHICK R, et al. You only look once: unifield, real-time object detection[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. New York: IEEE, 2016: 779-788.

    [5] [5] WANG H, ZHOU L P, WANG L. Miss detection vs. false alarm: adversarial learning for small object segmentation in infrared images[C]//2019 IEEE/CVF International Conference on Computer Vision (ICCV). New York: IEEE, 2019: 8508-8517.

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    SHU Xiaofang, GUAN Tiantian, WU Zhuokun, XU Shiwei. Research on Infrared Target Detection Algorithm Based on Deep Learning[J]. Electro-Optic Technology Application, 2025, 40(2): 41

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    Paper Information

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    Received: Nov. 20, 2024

    Accepted: Jul. 2, 2025

    Published Online: Jul. 2, 2025

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