Kernel Supervised Ensemble Classifier for the Classification of Hyperspectral Data Using Few Labeled Samples.
Jike ChenJunshi XiaPeijun DuJocelyn ChanussotZhaohui XueXiangjian XiePublished in: Remote. Sens. (2016)
Keyphrases
- hyperspectral data
- ensemble classifier
- classification models
- support vector
- supervised learning
- unsupervised learning
- feature space
- semi supervised
- feature selection
- learning algorithm
- infrared
- support vector machine
- decision trees
- class labels
- machine learning
- remote sensing
- random forest
- high dimensionality
- pattern recognition
- classification accuracy
- labeled and unlabeled data
- base classifiers
- kernel function
- semi supervised learning
- training data
- training set
- preprocessing
- svm classifier
- classification algorithm
- machine learning methods
- text categorization
- k nearest neighbor
- image classification