Simulation-assisted SAR Target Classification Based on Unsupervised Domain Adaptation and Model Interpretability Analysis
Convolutional Neural Networks (CNNs) are widely used in optical image classification. In the case of Synthetic Aperture Radar (SAR) images, obtaining sufficient training examples for CNNs is challenging due to the difficulties in and high cost of data annotation. Meanwhile, with the advancement of S...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
China Science Publishing & Media Ltd. (CSPM)
2022-02-01
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| Series: | Leida xuebao |
| Subjects: | |
| Online Access: | https://radars.ac.cn/cn/article/doi/10.12000/JR21179 |