Few-Shot SAR ATR via Multilevel Contrastive Learning and Dependence Matrix-Based Measurement
In recent years, deep learning has achieved remarkable success in synthetic aperture radar (SAR) automatic target recognition (ATR). However, the performance of most deep learning-based models heavily depends on a large quantity of high-quality labeled data, which presents severe challenges in the c...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
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| Series: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10919038/ |
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