Empirical mode decomposition for dimensionality reduction of hyperspectral data.
Kuan-Lin WuPi-Fuei HsiehPublished in: IGARSS (2005)
Keyphrases
- empirical mode decomposition
- hyperspectral data
- dimensionality reduction
- random projections
- principal components
- hyperspectral
- non stationary
- multi band
- hyperspectral imagery
- hilbert huang transform
- feature extraction
- principal component analysis
- hyperspectral images
- multispectral
- low dimensional
- pattern recognition
- high dimensionality
- high dimensional data
- high dimensional
- feature space
- linear discriminant analysis
- dimensionality reduction methods
- wavelet decomposition
- feature selection
- data points
- dimension reduction
- eeg signals
- infrared
- remote sensing
- intrinsic mode functions
- singular value decomposition
- kernel pca
- sparse representation
- data compression
- information content