Laser & Optoelectronics Progress, Volume. 56, Issue 7, 071001(2019)
Intelligent Target Recognition Method of Unmanned Aerial Vehicle Combat Platform
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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Panfei Lü, Shuguang Wang. Intelligent Target Recognition Method of Unmanned Aerial Vehicle Combat Platform[J]. Laser & Optoelectronics Progress, 2019, 56(7): 071001
Category: Image Processing
Received: Sep. 17, 2018
Accepted: Oct. 22, 2018
Published Online: Jul. 30, 2019
The Author Email: Lü Panfei (1055392772@qq.com)