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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Detalles Bibliográficos
Autores principales: Gao, Fei, Ma, Fei, Wang, Jun, Sun, Jinping, Yang, Erfu, Zhou, Huiyu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6111978/
https://www.ncbi.nlm.nih.gov/pubmed/30126120
http://dx.doi.org/10.3390/s18082706

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6111978/
https://www.ncbi.nlm.nih.gov/pubmed/30126120
http://dx.doi.org/10.3390/s18082706

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