Classification of Potential Water Bodies Using Landsat 8 OLI and a Combination of Two Boosted Random Forest Classifiers.
ByoungChul KoHyeong Hun KimJae-Yeal NamPublished in: Sensors (2015)
Keyphrases
- random forest
- decision trees
- feature set
- fold cross validation
- random forests
- ensemble classifier
- supervised classification
- feature reduction
- classifier combination
- feature selection
- feature ranking
- multiple classifier systems
- classification accuracy
- machine learning algorithms
- class labels
- classification algorithm
- classification method
- training set
- ensemble methods
- support vector
- base classifiers
- majority voting
- decision tree learning algorithms
- cancer classification
- rotation forest
- classification models
- ensemble learning
- feature space
- logistic regression
- naive bayes
- feature vectors
- multi label
- training data
- individual classifiers
- machine learning methods
- support vector machine
- svm classifier
- text classification
- classifier ensemble
- image classification
- bayesian classifier
- unsupervised learning
- classifier fusion
- feature extraction
- data points
- multi class
- training samples
- test data