Hyperspectral remote sensing image classification based on the integration of support vector machine and random forest.
Peijun DuJunshi XiaJocelyn ChanussotXiyan HePublished in: IGARSS (2012)
Keyphrases
- random forest
- image classification
- hyperspectral remote sensing
- support vector machine
- multi label
- svm classifier
- random forests
- decision trees
- hyperspectral
- remote sensing
- ensemble classifier
- feature set
- k nearest neighbor
- multi class
- support vector
- sparse representation
- feature extraction
- ensemble methods
- feature selection
- feature vectors
- machine learning
- text classification
- training data
- support vector machine svm
- image processing
- multispectral
- nearest neighbor
- image features
- base classifiers
- knn
- high resolution
- image analysis
- class specific
- object recognition