Decoder-side dimensionality determination for compressive-projection principal component analysis of hyperspectral data.
Wei LiJames E. FowlerPublished in: ICIP (2011)
Keyphrases
- random projections
- hyperspectral data
- dimensionality reduction
- principal component analysis
- lower dimensional
- compressive sensing
- dimension reduction
- high dimensionality
- principal components
- feature space
- low dimensional
- high dimensional
- high dimensional data
- pattern recognition
- linear discriminant analysis
- independent component analysis
- original data
- feature extraction
- sparse representation
- image reconstruction
- face recognition
- principle component analysis
- singular value decomposition
- feature selection
- data sets
- input space
- hyperspectral
- random sampling
- face images
- data points
- support vector
- kernel pca
- image processing
- hyperspectral imagery