Attribute-Guided Generative Adversarial Network With Improved Episode Training Strategy for Few-Shot SAR Image Generation

Attribute-Guided Generative Adversarial Network With Improved Episode Training Strategy for Few-Shot SAR Image Generation

Deep-learning-based models usually require a large amount of data for training, which guarantees the effectiveness of the trained model. Generative models are no exception, and sufficient training data are necessary for the diversity of generated images. However, for synthetic aperture radar (SAR) i...

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Bibliographic Details
Main Authors: Yuanshuang Sun, Yinghua Wang, Liping Hu, Yuanyuan Huang, Hongwei Liu, Siyuan Wang, Chen Zhang
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Few-shot image generation
generative adversarial network (GAN)
meta-learning
synthetic aperture radar (SAR)
transfer learning
Online Access:https://ieeexplore.ieee.org/document/10025584/

Internet

https://ieeexplore.ieee.org/document/10025584/

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