Fusion and classification of multi-source images by SVM with selected features in a kernel space.
Su RuanNan ZhangStéphane LebonvalletQingmin LiaoYue Min ZhuPublished in: IPTA (2010)
Keyphrases
- selected features
- kernel space
- classification method
- svm classifier
- feature selection
- classification accuracy
- support vector machine svm
- source images
- feature set
- support vector
- classification rate
- informative features
- support vector machine
- cross validation
- image fusion
- feature space
- hyperplane
- feature subset
- extracted features
- feature selection algorithms
- fusion method
- fusion algorithm
- data fusion
- classification algorithm
- feature vectors
- pattern recognition
- fused image
- training set
- training data
- knn
- image classification
- feature extraction
- multi class
- random forest
- k nearest neighbor
- recognition rate
- text classification
- principal components
- naive bayes
- kernel function
- machine learning
- decision trees
- maximum margin
- selection algorithm
- ensemble methods
- high resolution