Improving Soil Thickness Estimations Based on Multiple Environmental Variables with Stacking Ensemble Methods.
Xinchuan LiJuhua LuoXiuliang JinQiaoning HeYun NiuPublished in: Remote. Sens. (2020)
Keyphrases
- ensemble methods
- ensemble learning
- base classifiers
- environmental variables
- prediction accuracy
- multiple models
- combining multiple
- decision trees
- random forests
- machine learning methods
- benchmark datasets
- environmental factors
- environmental conditions
- bootstrap sampling
- random forest
- generalization ability
- majority voting
- classifier ensemble
- image data
- image analysis
- artificial neural networks