Infrared and Laser Engineering, Volume. 51, Issue 9, 20211101(2022)
Image recognition method of anti drone system based on coordinate attention mechanism
Fig. 1. Effect drawing of image preprocessing
Fig. 2. Images display of drone image dataset
Fig. 3. Diagram sketch of Dense Block
Fig. 4. Structure diagram of TL-DenseNet-121
Fig. 5. Different attention mechanism modules. (a) SE Block; (b) CA Block
Fig. 6. Dense convolutional network incorporating different number of SE Blocks in different locations. (a) TL-SE1-DenseNet-121; (b) TL-SE4-DenseNet-121
Fig. 7. Dense convolutional network incorporating different number of CA Blocks in different locations. (a) TL-CA1-DenseNet-121; (b) TL-CA4-DenseNet-121
Fig. 8. Experimental scene pictures
Fig. 9. Initial training results of TL-DenseNet-121
Fig. 10. Complete training results of TL-DenseNet-121
Fig. 11. Training results of DenseNet-121
Fig. 12. Complete training results of TL-CA4-DenseNet-121
Fig. 13. Comparison curves of various networks. (a) Network comparison curves introduced by SE Block; (b) Network comparison curves introduced by CA Block
Fig. 14. Comparison curves of various models
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Shan Xue, Yuchao Chen, Qiongying Lv, Guohua Cao. Image recognition method of anti drone system based on coordinate attention mechanism[J]. Infrared and Laser Engineering, 2022, 51(9): 20211101
Category: Image processing
Received: Dec. 20, 2021
Accepted: --
Published Online: Jan. 6, 2023
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