SVM Classifier Fusion Using Belief Functions: Application to Hyperspectral Data Classification.
Marie LachaizeSylvie Le Hégarat-MascleEmanuel AldeaAude MaitrotRoger ReynaudPublished in: BELIEF (2016)
Keyphrases
- classifier fusion
- hyperspectral data
- belief functions
- support vector
- support vector machine svm
- svm classifier
- hyperspectral
- hyperspectral images
- support vector machine
- feature selection
- majority voting
- classification algorithm
- hyperspectral imagery
- pattern recognition
- remote sensing
- multispectral
- random projections
- feature vectors
- classification accuracy
- generalization ability
- machine learning
- feature space
- training set
- class labels
- multiple classifier systems
- data compression
- binary classification
- feature subset
- knn
- classifier ensemble
- feature set
- feature extraction
- image classification