Hyperspectral Image Classification by Bootstrap AdaBoost With Random Decision Stumps.
Kawaguchi KawaguchiRyuei NishiiPublished in: IEEE Trans. Geosci. Remote. Sens. (2007)
Keyphrases
- decision stumps
- hyperspectral image classification
- active learning
- decision forest
- learning algorithm
- ensemble learning
- hyperspectral images
- weak classifiers
- ensemble classifier
- selection algorithm
- logistic regression
- hyperspectral
- kernel machines
- support vector machine
- generalization bounds
- decision trees
- base classifiers
- support vector
- cross validation
- base learners
- pattern recognition
- imbalanced data
- infrared
- confidence intervals
- multi class
- image segmentation
- feature selection
- computer vision
- machine learning