A review on graph-based semi-supervised learning methods for hyperspectral image classification
In this article, a comprehensive review of the state-of-art graph-based learning methods for classification of the hyperspectral images (HSI) is provided, including a spectral information based graph semi-supervised classification and a spectral-spatial information based graph semi-supervised classi...
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| Автори: | , |
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| Формат: | Artigo |
| Мова: | Inglês |
| Опубліковано: |
Elsevier
2020-08-01
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| Серія: | Egyptian Journal of Remote Sensing and Space Sciences |
| Предмети: | |
| Онлайн доступ: | http://www.sciencedirect.com/science/article/pii/S1110982318301960 |
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