A hybrid convolution transformer for hyperspectral image classification
Hyperspectral images play a crucial role in remote sensing applications surveillance, environment and precision agriculture, containing abundant object information. However, they often face challenges such as limited labelled data and imbalanced classes. In recent years, convolutional neural network...
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| Asıl Yazarlar: | , , |
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| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
Taylor & Francis Group
2024-12-01
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| Seri Bilgileri: | European Journal of Remote Sensing |
| Konular: | |
| Online Erişim: | https://www.tandfonline.com/doi/10.1080/22797254.2024.2330979 |
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