Comparison of Random Forest, Support Vector Machines, and Neural Networks for Post-Disaster Forest Species Mapping of the Krkonoše/Karkonosze Transboundary Biosphere Reserve.
Bogdan ZagajewskiMarcin KluczekEdwin RaczkoAjda NjegovecAnca DabijaMarlena KyckoPublished in: Remote. Sens. (2021)
Keyphrases
- random forest
- neural network
- support vector
- random forests
- decision trees
- fold cross validation
- large margin classifiers
- ensemble methods
- feature set
- logistic regression
- feature ranking
- artificial neural networks
- ensemble learning
- rotation forest
- multi label
- kernel function
- training examples
- feature selection
- higher order
- feature importance
- multi class
- support vector machine
- ensemble classifier
- active learning
- bayesian networks
- data sets