Dual-Student Self-Distillation for Hyperspectral Image Classification With Noisy Labels
Hyperspectral image classification (HSIC) is a critical task in remote sensing. However, the performance of deep-learning-based HSIC methods degrades significantly when training data contain noisy labels—an unavoidable problem in real-world applications that can cause error accumulation. To a...
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| Principais autores: | , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
IEEE
2026-01-01
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| Colecção: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| Assuntos: | |
| Acesso em linha: | https://ieeexplore.ieee.org/document/11318582/ |
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