Panfei Lü, Shuguang Wang. Intelligent Target Recognition Method of Unmanned Aerial Vehicle Combat Platform[J]. Laser & Optoelectronics Progress, 2019, 56(7): 071001
- Laser & Optoelectronics Progress
- Vol. 56, Issue 7, 071001 (2019)
Fig. 1. Diagram of YOLOv3 feature extraction and recognition
Fig. 2. Inception module
Fig. 3. Inception-ResNet module
Fig. 4. Diagram of darknet-139
Fig. 5. Curve of total loss
Fig. 6. Loss curve of 10000-50000 iterations
Fig. 7. Partial intermediate convolution results. (a) Layer 1; (b) layer 2; (c) layer 3; (d) layer 4; (e) layer 5; (f) layer 6; (g) layer 7; (h) layer 8; (i) original graph
Fig. 8. Target recognition effects. (a)(b) Tank target recognition; (c)(d) long-range rocket gun recognition; (e)-(h) antiaircraft gun recognition; (i) warship recognition
Fig. 9. Comparison of model recognition effect. (a)(b) YOLOv3; (c)(d) proposed model
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Table 1. Comparison of computational complexity of different networks
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Table 2. Performance comparison of algorithms
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