Kernelized sparse graph-embedded dimensionality reduction for hyperspectral image classification.
Zhaohui XuePeijun DuHongjun SuPublished in: WHISPERS (2014)
Keyphrases
- dimensionality reduction
- hyperspectral image classification
- high dimensional
- random projections
- hyperspectral data
- sparse representation
- graph embedding
- kernel trick
- hyperspectral images
- hyperspectral
- manifold learning
- high dimensional data
- high dimensionality
- feature selection
- low dimensional
- principal component analysis
- kernel function
- linear discriminant analysis
- pattern recognition
- data points
- high dimensional feature space
- lower dimensional
- principal components
- data sets
- active learning
- sparse coding
- change detection
- high resolution
- decision trees
- image processing
- knn