Data Augmentation and Spectral Structure Features for Limited Samples Hyperspectral Classification
For both traditional classification and current popular deep learning methods, the limited sample classification problem is very challenging, and the lack of samples is an important factor affecting the classification performance. Our work includes two aspects. First, the unsupervised data augmentat...
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| Principais autores: | , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
MDPI AG
2021-02-01
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| Series: | Remote Sensing |
| Assuntos: | |
| Acceso en liña: | https://www.mdpi.com/2072-4292/13/4/547 |
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