A Novel Conditional Alignment and Pseudolabel Generation Method for Cross-Scene Hyperspectral Image Classification
A key bottleneck in cross-scene hyperspectral image (HSI) classification comes from domain shift, which poses a significant challenge for applying network models to some new, unlabeled scenes. Unsupervised domain adaptation, which aims to align the distributions of the source and target domains, has...
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| Autori principali: | , , , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
IEEE
2026-01-01
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| Serie: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| Soggetti: | |
| Accesso online: | https://ieeexplore.ieee.org/document/11487963/ |
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