High-Resolution Mining-Induced Geo-Hazard Mapping Using Random Forest: A Case Study of Liaojiaping Orefield, Central China.
Yaozu QinLi CaoAli Darvishi BolooraniWeicheng WuPublished in: Remote. Sens. (2021)
Keyphrases
- random forest
- high resolution
- random forests
- decision trees
- low resolution
- ensemble methods
- feature set
- image processing
- fold cross validation
- feature importance
- ensemble learning
- data mining
- rotation forest
- remote sensing
- knowledge discovery
- base classifiers
- text mining
- small number
- neural network
- genetic algorithm ga
- logistic regression
- multi label
- prediction accuracy
- information extraction
- feature selection