Shiyi Li, Guangyuan Fu, Zhongma Cui, Xiaoting Yang, Hongqiao Wang, Yukui Chen. Data Augmentation in SAR Images Based on Multi-Scale Generative Adversarial Networks[J]. Laser & Optoelectronics Progress, 2020, 57(20): 201018
- Laser & Optoelectronics Progress
- Vol. 57, Issue 20, 201018 (2020)
Fig. 1. Structure of the pyramidal multi-scale GAN
Fig. 2. Structure of generator
Fig. 3. Inception block
Fig. 4. Linear convolutional layer and 1×1 convolutional layer. (a) Linear convolution layer; (b) 1×1 convolution layer
Fig. 5. Residual dense block
Fig. 6. Structure of the discriminator
Fig. 7. Image generated from single image. (a) Image1 of small ship; (b) image2 of small ship; (c) image with noise in background; (d) image of large ship
Fig. 8. Images generated by different networks. (a) Images used for training; (b) images generated by the original network; (c) images generated by the improved network
Fig. 9. Error detection of training on different data sets. (a) Correct test results; (b) SSDD data set; (c) SSDD data set + generated sample data set
Fig. 10. False alarms of training on different data sets. (a) Correct test results; (b) SSDD data set; (c) SSDD data set + generated sample data set
Fig. 11. Missed detection of training on different data sets. (a) Correct test results; (b) SSDD data set; (c) SSDD data set + generated sample data set
Fig. 12. Undetected result after adding the generated data set. (a) Correct test results; (b) SSDD data set; (c) SSDD data set + generated sample data set
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Table 1. Parameters of the generator
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Table 2. AP of different methods to generate images
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