Patch-Free Bilateral Network for Hyperspectral Image Classification Using Limited Samples
Recently, data-driven methods represented by deep learning have been widely used in hyperspectral image (HSI) classification and achieved the promising success. However, using less labeled samples to obtain higher classification accuracy is still a challenging task. In this study, we propose a patch...
Αποθηκεύτηκε σε:
| Κύριοι συγγραφείς: | , |
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| Μορφή: | Artigo |
| Γλώσσα: | Inglês |
| Έκδοση: |
IEEE
2021-01-01
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| Σειρά: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| Θέματα: | |
| Διαθέσιμο Online: | https://ieeexplore.ieee.org/document/9585561/ |
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