Optical Technique, Volume. 48, Issue 6, 755(2022)

Weak and small targets detection of airborne infrared detection system in the Near-earth background

LI Nan
Author Affiliations
  • [in Chinese]
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    References(8)

    [6] [6] Hou X, J Ma, Zang S. Airborne infrared aircraft target detection algorithm based on YOLOv4-tiny[J]. Journal of Physics: Conference Series,2021,1865(4):042007-042013.

    [12] [12] Zhou R, Jiang C, Xu Q. A survey on generative adversarial network-based text-to-image synthesis[J]. Neurocomputing,2021,451(1):316-336.

    [16] [16] Shill A, Rahman M A. Plant disease detection based on YOLOv3 and YOLOv4[C]∥ 2021 International Conference on Automation, Control and Mechatronics for Industry 4.0,Xi’an, China:ACM,2021:33-39.

    [17] [17] Li X F, Pu H B, Wei Y, et al. Introduce GIoU into RFB net to optimize object detection bounding box[C]∥2019 the 5th International Conference on Communication and Information Processing. Chongqing,China:ACM,2019:108-113.

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    LI Nan. Weak and small targets detection of airborne infrared detection system in the Near-earth background[J]. Optical Technique, 2022, 48(6): 755

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    Paper Information

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    Received: Jun. 10, 2022

    Accepted: --

    Published Online: Jan. 20, 2023

    The Author Email:

    DOI:

    CSTR:32186.14.

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