A Prototype-Based Semisupervised Learning Method for Few-Shot SAR Target Recognition
Deep learning-based methods have achieved extraordinary success in SAR automatic target recognition. However, deep learning conventionally necessitates a substantial number of labeled samples to achieve effective training, and labeled samples of new classes in real-world scenarios are scarce, which...
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| Principais autores: | , , , , , |
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| Format: | Artigo |
| Jezik: | Inglês |
| Izdano: |
IEEE
2026-01-01
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| Serija: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| Teme: | |
| Online dostop: | https://ieeexplore.ieee.org/document/11298499/ |
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