• Infrared and Laser Engineering
  • Vol. 49, Issue 7, 20200154 (2020)
Shan Xue, Zhen Zhang, Qiongying Lv, Guohua Cao, and Yiwei Mao
Author Affiliations
  • 长春理工大学 机电工程学院,吉林 长春 130022
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    DOI: 10.3788/IRLA20200154 Cite this Article
    Shan Xue, Zhen Zhang, Qiongying Lv, Guohua Cao, Yiwei Mao. Image recognition method of anti UAV system based on convolutional neural network[J]. Infrared and Laser Engineering, 2020, 49(7): 20200154 Copy Citation Text show less
    Sample data set thumbnail of UAV
    Fig. 1. Sample data set thumbnail of UAV
    Diagram of picture scale
    Fig. 2. Diagram of picture scale
    Data amplification
    Fig. 3. Data amplification
    ReLU function diagram
    Fig. 4. ReLU function diagram
    Structure of convolutional neural network
    Fig. 5. Structure of convolutional neural network
    Self-made optical system
    Fig. 6. Self-made optical system
    UAV sample on-site collection diagram
    Fig. 7. UAV sample on-site collection diagram
    Loss function of 2 000 training times
    Fig. 8. Loss function of 2 000 training times
    Accuracy variation diagram of 2 000 training times
    Fig. 9. Accuracy variation diagram of 2 000 training times
    Comparison of recognition accuracy of different data sets
    Fig. 10. Comparison of recognition accuracy of different data sets
    Python experimental results
    Fig. 11. Python experimental results
    Comparison of experimental results of different models
    Fig. 12. Comparison of experimental results of different models
    UAV typeNumber of shotsNumber after amplification
    MAVIC 2176704
    Bebop 2.0176704
    AP10 Pro176704
    XPLORER V176704
    C2000176704
    Total8803520
    Table 1. 5 number of UAV pictures
    Parameter settingRecognition accuracy
    0.490.2%
    0.595.9%
    0.693.3%
    0.788.4%
    Table 2. Results of different parameters of Dropout layer
    Shan Xue, Zhen Zhang, Qiongying Lv, Guohua Cao, Yiwei Mao. Image recognition method of anti UAV system based on convolutional neural network[J]. Infrared and Laser Engineering, 2020, 49(7): 20200154
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