Temporal-Domain Adaptation for Satellite Image Time-Series Land-Cover Mapping With Adversarial Learning and Spatially Aware Self-Training
Nowadays, satellite image time series (SITS) are commonly employed to derive land-cover maps (LCM) to support decision makers in a variety of land management applications. In the most general workflow, the production of LCM strongly relies on available GT data to train supervised machine learning mo...
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| Asıl Yazarlar: | , , , , |
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| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
IEEE
2023-01-01
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| Seri Bilgileri: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| Konular: | |
| Online Erişim: | https://ieeexplore.ieee.org/document/10089508/ |
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