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Hyperspectral Image Classification with Imbalanced Data Based on Semi-Supervised Learning
Hyperspectral remote sensing image classification has been widely employed for numerous applications, such as environmental monitoring, agriculture, and mineralogy. During such classification, the number of training samples in each class often varies significantly. This imbalance in the dataset is o...
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| Hoofdauteurs: | , , , , , , |
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| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
MDPI AG
2022-04-01
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| Reeks: | Applied Sciences |
| Onderwerpen: | |
| Online toegang: | https://www.mdpi.com/2076-3417/12/8/3943 |
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