Parametric projection pursuit for dimensionality reduction of hyperspectral data.
Huang-de LinLori M. BrucePublished in: IGARSS (2003)
Keyphrases
- hyperspectral data
- dimensionality reduction
- random projections
- principal components
- hyperspectral
- hyperspectral images
- hyperspectral imagery
- low dimensional
- lower dimensional
- principal component analysis
- high dimensional
- multispectral
- high dimensionality
- feature selection
- pattern recognition
- high dimensional data
- feature extraction
- dimensionality reduction methods
- remote sensing
- linear discriminant analysis
- dimension reduction
- infrared
- input space
- target detection
- sparse representation
- data points
- data compression
- feature space
- computer vision
- original data
- singular value decomposition
- image segmentation
- image reconstruction
- data sets