Adaptive Subspace Decomposition for Hyperspectral Data Dimensionality Reduction.
Ye ZhangMita D. DesaiJunping ZhangMing JinPublished in: ICIP (2) (1999)
Keyphrases
- dimensionality reduction
- hyperspectral data
- random projections
- principal components
- low dimensional
- principal component analysis
- high dimensional data
- hyperspectral
- high dimensional
- hyperspectral imagery
- hyperspectral images
- lower dimensional
- feature space
- pattern recognition
- feature extraction
- input space
- high dimensionality
- dimensionality reduction methods
- feature selection
- principal components analysis
- singular value decomposition
- multispectral
- kernel pca
- data sets
- linear discriminant analysis
- remote sensing
- dimension reduction
- image reconstruction
- infrared
- image data
- data points
- principle component analysis
- image analysis