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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...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2020
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| Materias: | |
| 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 |