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Semi-Supervised Generative Adversarial Nets with Multiple Generators for SAR Image Recognition
As an important model of deep learning, semi-supervised learning models are based on Generative Adversarial Nets (GANs) and have achieved a competitive performance on standard optical images. However, the training of GANs becomes unstable when they are applied to SAR images, which reduces the featur...
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| Gepubliceerd in: | Sensors (Basel) |
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| Hoofdauteurs: | , , , , , |
| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
MDPI
2018
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| Onderwerpen: | |
| Online toegang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6111978/ https://ncbi.nlm.nih.gov/pubmed/30126120 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s18082706 |
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