Baodai Shi, Qin Zhang, Yao Li, Yuhuan Li. SAR Image Target Recognition Based on Improved Residual Attention Network[J]. Laser & Optoelectronics Progress, 2021, 58(8): 0810008
- Laser & Optoelectronics Progress
- Vol. 58, Issue 8, 0810008 (2021)
Fig. 1. 10 types of target optical images and corresponding SAR images
Fig. 2. ResNet101 precision curve
Fig. 3. SENet structure
Fig. 4. Residual shrinkage block
Fig. 5. Structure diagram of model S
Fig. 6. Concrete structure of the first stage
Fig. 7. Occlusion effect pictures
Fig. 8. Pictures of salt and pepper noise
|
Table 1. Data category and number of samples
|
Table 2. Recognition rates of different algorithms
|
Table 3. Recognition rate of original residual attention network
|
Table 4. Experimental results of different improvement stages
|
Table 5. Recognition results of different models
|
Table 6. Occlusion recognition results
|
Table 7. Recognition results of model under salt and pepper noise
Set citation alerts for the article
Please enter your email address
© Copyright 2018-2021 | Chinese Laser Press. All Rights Reserved 沪ICP备15018463号-20