Self-Supervised Assisted Semi-Supervised Residual Network for Hyperspectral Image Classification
Due to the scarcity and high cost of labeled hyperspectral image (HSI) samples, many deep learning methods driven by massive data cannot achieve the intended expectations. Semi-supervised and self-supervised algorithms have advantages in coping with this phenomenon. This paper primarily concentrates...
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| Main Authors: | , , , , |
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| Format: | Artigo |
| Language: | Inglês |
| Published: |
MDPI AG
2022-06-01
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| Series: | Remote Sensing |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2072-4292/14/13/2997 |
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