Semi-Supervised Deep Transfer Learning-Based on Adversarial Feature Learning for Label Limited SAR Target Recognition

Semi-Supervised Deep Transfer Learning-Based on Adversarial Feature Learning for Label Limited SAR Target Recognition

The data-driven convolutional neural networks (CNNs) have achieved great progress in Synthetic Aperture Radar automatic target recognition (SAR-ATR) after being trained in a large scale of labeled samples. However, the insufficiency of labeled SAR data always leads to over-fitting, causing significa...

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Bibliographic Details
Main Authors: Wei Zhang, Yongfeng Zhu, Qiang Fu
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
SAR-ATR
convolutional neural networks (CNNs)
semi-supervised transfer learning
adversarial feature learning
Online Access:https://ieeexplore.ieee.org/document/8877822/

Internet

https://ieeexplore.ieee.org/document/8877822/

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