Imbalanced learning in land cover classification

Douzas, G., Bacao, F., Fonseca, J., & Khudinyan, M. (2019). Imbalanced learning in land cover classification: Improving minority classes' prediction accuracy using the geometric SMOTE algorithm. Remote Sensing, 11(24), [3040]. https://doi.org/10.3390/rs11243040

Detalhes bibliográficos
Autor principal: Douzas, Georgios (author)
Outros Autores: Bacao, Fernando (author), Fonseca, Joao (author), Khudinyan, Manvel (author)
Formato: article
Idioma:eng
Publicado em: 2020
Assuntos:
Class imbalance
Geometric-SMOTE
Imbalanced learning
LULC classification
Oversampling
Earth and Planetary Sciences(all)
SDG 15 - Life on Land
Texto completo:http://hdl.handle.net/10362/91747
País:Portugal
Oai:oai:run.unl.pt:10362/91747
Descrição
Resumo:Douzas, G., Bacao, F., Fonseca, J., & Khudinyan, M. (2019). Imbalanced learning in land cover classification: Improving minority classes' prediction accuracy using the geometric SMOTE algorithm. Remote Sensing, 11(24), [3040]. https://doi.org/10.3390/rs11243040

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