Multiple Feature Kernel Sparse Representation Classifier for Hyperspectral Imagery.
Le GanJunshi XiaPeijun DuJocelyn ChanussotPublished in: IEEE Trans. Geosci. Remote. Sens. (2018)
Keyphrases
- sparse representation
- hyperspectral imagery
- multiple features
- feature space
- high dimensional feature space
- feature set
- dimensionality reduction
- image representation
- kernel function
- feature vectors
- kernel methods
- support vector
- image classification
- class labels
- high dimensional data
- hyperspectral
- face recognition
- low dimensional
- remote sensing
- spatial resolution
- object tracking
- training samples
- training data
- input space
- feature selection
- metric learning
- support vector machine
- random projections
- kernel matrix
- data fusion
- image retrieval
- high dimensional
- multiple instance learning
- input data
- principal component analysis
- data points
- training set
- multiple views
- signal processing
- image segmentation
- classification accuracy
- mean shift
- data sets
- machine learning