• Infrared and Laser Engineering
  • Vol. 50, Issue S2, 20210323 (2021)
Youchen Fan, Xu Ma, Shuli Ma, Kechang Qian, and Hongxing Hao
Author Affiliations
  • School of Space Information, Space Engineering University, Beijing 101416, China
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    DOI: 10.3788/IRLA20210323 Cite this Article
    Youchen Fan, Xu Ma, Shuli Ma, Kechang Qian, Hongxing Hao. Evaluation method of laser jamming effect based on deep learning[J]. Infrared and Laser Engineering, 2021, 50(S2): 20210323 Copy Citation Text show less
    Network structure of YOLOV5s
    Fig. 1. Network structure of YOLOV5s
    Flow chart of evaluation algorithm for laser jamming effect
    Fig. 2. Flow chart of evaluation algorithm for laser jamming effect
    Diagram of different grades of laser jamming effect
    Fig. 3. Diagram of different grades of laser jamming effect
    Part of the original image of the data set
    Fig. 4. Part of the original image of the data set
    YOLOV5x training results
    Fig. 5. YOLOV5x training results
    YOLOV5l training results
    Fig. 6. YOLOV5l training results
    YOLOV5m training results
    Fig. 7. YOLOV5m training results
    YOLOV5s training results
    Fig. 8. YOLOV5s training results
    YOLOV5 laser interference test renderings
    Fig. 9. YOLOV5 laser interference test renderings
    ParameterQuantity (pieces)
    Total data set3 020
    Training set1 812
    Validation set604
    Test set604
    Table 1. Data set division of laser interference detection
    ParameterConfiguration
    Operating systemLinux
    LanguagePython 3.6
    CUDA10.2
    Table 2. Experimental parameter configuration
    Network structureYOLOV5sYOLOV5mYOLOV5lYOLOV5x
    Time/s1.1191.2081.2821.367
    Test resultsFig.9 (a)Fig.9 (b)Fig.9 (c)Fig.9 (d)
    Recognition accuracy0.860.810.900.92
    Table 3. Laser jamming image test results
    AlgorithmRecognition accuracyTime/s
    YOLOV30.763.68
    YOLOV40.802.37
    YOLOV50.851.19
    Table 4. Experimental results of laser interference images with evaluate three algorithms
    Youchen Fan, Xu Ma, Shuli Ma, Kechang Qian, Hongxing Hao. Evaluation method of laser jamming effect based on deep learning[J]. Infrared and Laser Engineering, 2021, 50(S2): 20210323
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