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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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Principais autores: Emmanuel Capliez, Dino Ienco, Raffaele Gaetano, Nicolas Baghdadi, Adrien Hadj Salah
Formato: Artigo
Idioma:Inglês
Publicado em: IEEE 2023-01-01
coleção:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
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Acesso em linha:https://ieeexplore.ieee.org/document/10089508/
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