- Technical Note
Imbalanced Learning in Land Cover Classification: Improving Minority Classes’ Prediction Accuracy Using the Geometric SMOTE Algorithm
- Georgios Douzas,
- Fernando Bacao,
- Joao Fonseca and
- Manvel Khudinyan
The automatic production of land use/land cover maps continues to be a challenging problem, with important impacts on the ability to promote sustainability and good resource management. The ability to build robust automatic classifiers and produce ac...

