Laser & Optoelectronics Progress, Volume. 56, Issue 16, 161502(2019)

Typical Target Detection for Infrared Homing Guidance Based on YOLO v3

Tieming Chen*, Guangyuan Fu, Shiyi Li, and Yuan Li
Author Affiliations
  • Department of Information Engineering, Rocket Force University of Engineering, Xi'an, Shaanxi 710025, China
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    Figures & Tables(10)
    Illustration of positions of predicting and bounding boxes
    Visible image of airport
    Infrared image of airport
    Accelerated convergence by SGD with momentum
    Diagram of infrared homing guidance target detection method based on improved YOLO v3
    Relationship between IOU and number of anchor box
    Curve of loss
    Curve of cross validation loss
    • Table 1. Parameters for contrastive experiments

      View table

      Table 1. Parameters for contrastive experiments

      AlgorithmTraining epochTotal training timeParameter
      SGD with momentum1-20022 h 24 minLr0=10-6,decay is 0.5,decay period is 5,momentum is 0.999
      Weighted SGDwith momentum1-20022 h 32 minLr0=10-7,decay is 0.5,decay period is 5,momentum is 0.999
      Adam1-20023 h 20 minLr0=10-3,β1 = 0.9,β2 = 0.999,ε = 10-8
      Weighted Adam1-20023 h 28 minLr0=10-3,β1 = 0.9,β2 = 0.999,ε = 10-8
      Adam in unitedtraining method1-10011 h 40 minLr0=10-3,β1 = 0.9,β2 = 0.999,ε = 10-8
      SGD with momentum inunited training method101-20011 h 10 minLr0=10-4,decay is 0.5,decay period is 10,momentum is 0.999
      Adam in weightedunited training method1-10011 h 44 minLr0=10-3,β1 = 0.9,β2 = 0.999,ε = 10-8
      SGD with momentumin weighted unitedtraining method101-20011 h 16 minLr0=10-4,decay is 0.5,decay period is 10,momentum is 0.999
    • Table 2. Comparison of different testing methods

      View table

      Table 2. Comparison of different testing methods

      AlgorithmSGD withmomentumAdamWeightedAdamUnitedtrainingWeighted unitedtraining
      Epoch100200100200100200100200100200
      mAP /%-16.2432.5667.5558.0667.7332.5677.7358.0677.89
      Special vehicle /%-13.0547.4963.1653.3261.7947.4967.3653.3269.56
      Ship /%5.3018.2321.9793.5487.0986.8521.9798.4887.0997.97
      Aircraft /%-17.4528.2145.9533.7754.5428.2167.3433.7766.14
      MA /%91.2462.3864.2057.7857.72
      FA /%7.2715.458.3714.2913.58
      Rate /(frame·s-1)26.7926.8825.8325.4425.6225.5325.3825.2725.6225.33
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    Tieming Chen, Guangyuan Fu, Shiyi Li, Yuan Li. Typical Target Detection for Infrared Homing Guidance Based on YOLO v3[J]. Laser & Optoelectronics Progress, 2019, 56(16): 161502

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    Paper Information

    Category: Machine Vision

    Received: Jan. 29, 2019

    Accepted: Mar. 27, 2019

    Published Online: Aug. 5, 2019

    The Author Email: Chen Tieming (chentieming1995@163.com)

    DOI:10.3788/LOP56.161502

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