An Impartial Semi-Supervised Learning Strategy for Imbalanced Classification on VHR Images

Imbalanced learning is a common problem in remote sensing imagery-based land-use and land-cover classifications. Imbalanced learning can lead to a reduction in classification accuracy and even the omission of the minority class. In this paper, an impartial semi-supervised learning strategy based on...

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Detalles Bibliográficos
Autores principales: Sun, Fei, Fang, Fang, Wang, Run, Wan, Bo, Guo, Qinghua, Li, Hong, Wu, Xincai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7700671/
https://www.ncbi.nlm.nih.gov/pubmed/33238513
http://dx.doi.org/10.3390/s20226699

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7700671/
https://www.ncbi.nlm.nih.gov/pubmed/33238513
http://dx.doi.org/10.3390/s20226699

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