Per-pixel accuracy as a weighting criterion for combining ensemble of extreme learning machine classifiers for satellite image classification.
Hamid EbrahimyZhou ZhangPublished in: Int. J. Appl. Earth Obs. Geoinformation (2023)
Keyphrases
- image classification
- extreme learning machine
- multiple classifier systems
- individual classifiers
- multiple classifiers
- feature selection
- multi category
- ensemble learning
- training data
- classifier ensemble
- majority voting
- combining multiple
- svm classifier
- training set
- neural network
- hidden nodes
- support vector
- feedforward neural networks
- ensemble classifier
- prediction accuracy
- classification accuracy
- feed forward neural networks
- decision trees
- support vector regression
- generalization ability
- machine learning algorithms
- classification algorithm
- remote sensing
- weak classifiers
- maximum likelihood
- artificial neural networks
- random forest
- support vector machine
- single layer
- ensemble methods