Typical Target Detection for Infrared Homing Guidance Based on YOLO v3

Tieming Chen; Guangyuan Fu; Shiyi Li; Yuan Li

doi:10.3788/LOP56.161502

Journals >Laser & Optoelectronics Progress >Volume 56 >Issue 16 >Page 161502 > Article

Laser & Optoelectronics Progress
Vol. 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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DOI: 10.3788/LOP56.161502 Cite this Article Set citation alerts

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 Copy Citation Text

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Fig. 1. Illustration of positions of predicting and bounding boxes

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Fig. 2. Visible image of airport

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Fig. 3. Infrared image of airport

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Fig. 4. Accelerated convergence by SGD with momentum

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Fig. 5. Diagram of infrared homing guidance target detection method based on improved YOLO v3

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Fig. 6. Relationship between IOU and number of anchor box

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Fig. 7. Curve of loss

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Fig. 8. Curve of cross validation loss

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Algorithm	Training epoch	Total training time	Parameter
SGD with momentum	1-200	22 h 24 min	L_r0=10^-6,decay is 0.5,decay period is 5,momentum is 0.999
Weighted SGDwith momentum	1-200	22 h 32 min	L_r0=10^-7,decay is 0.5,decay period is 5,momentum is 0.999
Adam	1-200	23 h 20 min	L_r0=10^-3,β₁ = 0.9,β₂ = 0.999,ε = 10^-8
Weighted Adam	1-200	23 h 28 min	L_r0=10^-3,β₁ = 0.9,β₂ = 0.999,ε = 10^-8
Adam in unitedtraining method	1-100	11 h 40 min	L_r0=10^-3,β₁ = 0.9,β₂ = 0.999,ε = 10^-8
SGD with momentum inunited training method	101-200	11 h 10 min	L_r0=10^-4,decay is 0.5,decay period is 10,momentum is 0.999
Adam in weightedunited training method	1-100	11 h 44 min	L_r0=10^-3,β₁ = 0.9,β₂ = 0.999,ε = 10^-8
SGD with momentumin weighted unitedtraining method	101-200	11 h 16 min	L_r0=10^-4,decay is 0.5,decay period is 10,momentum is 0.999

Table 1. Parameters for contrastive experiments

Algorithm	SGD withmomentum		Adam		WeightedAdam		Unitedtraining		Weighted unitedtraining
Epoch	100	200	100	200	100	200	100	200	100	200
mAP /%	-	16.24	32.56	67.55	58.06	67.73	32.56	77.73	58.06	77.89
Special vehicle /%	-	13.05	47.49	63.16	53.32	61.79	47.49	67.36	53.32	69.56
Ship /%	5.30	18.23	21.97	93.54	87.09	86.85	21.97	98.48	87.09	97.97
Aircraft /%	-	17.45	28.21	45.95	33.77	54.54	28.21	67.34	33.77	66.14
MA /%	91.24		62.38		64.20		57.78		57.72
FA /%	7.27		15.45		8.37		14.29		13.58
Rate /(frame·s^-1)	26.79	26.88	25.83	25.44	25.62	25.53	25.38	25.27	25.62	25.33

Table 2. Comparison of different testing methods

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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