Semisupervised Hyperspectral Image Classification Using Spatial-Spectral Information and Landscape Features
In hyperspectral image classification, the foremost task is that: how can we apply limited labeled samples to achieve good classification results? Spatial-spectral classification methods, which assign a label to each pixel regarding both spatial and spectral information, are effective to improve cla...
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| Principais autores: | , , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
IEEE
2019-01-01
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| coleção: | IEEE Access |
| Assuntos: | |
| Acesso em linha: | https://ieeexplore.ieee.org/document/8863901/ |
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