Classification of Hyperspectral Remote Sensing Images by an Ensemble of Support Vector Machines Under Imbalanced Data.
Laxmi Narayana EetiKrishna Mohan BuddhirajuPublished in: IGARSS (2018)
Keyphrases
- imbalanced data
- support vector
- support vector machine
- svm classifier
- feature selection
- ensemble methods
- generalization ability
- ensemble classifier
- classification accuracy
- classification models
- ensemble learning
- class distribution
- class imbalance
- decision boundary
- support vector machine svm
- linear regression
- decision trees
- cross validation
- pattern classification
- hyperplane
- sampling methods
- feature vectors
- binary classification
- machine learning
- training set
- feature space
- pattern recognition
- feature extraction
- kernel function
- cost sensitive
- low dimensional
- image classification
- supervised learning
- training data
- learning algorithm