Fast SVD With Random Hadamard Projection for Hyperspectral Dimensionality Reduction.
Vineetha MenonQian DuJames E. FowlerPublished in: IEEE Geosci. Remote. Sens. Lett. (2016)
Keyphrases
- hyperspectral
- dimensionality reduction
- singular value decomposition
- hyperspectral data
- hyperspectral images
- random projections
- remote sensing
- multispectral
- infrared
- hyperspectral imagery
- principal component analysis
- low dimensional
- image data
- high dimensional data
- high dimensional
- hyperspectral remote sensing
- high dimensionality
- spatial resolution
- pixel classification
- pattern recognition
- hyperspectral imaging
- feature selection
- hyperspectral image classification
- feature extraction
- target detection
- spectral bands
- dimension reduction
- information content
- dimensionality reduction methods
- linear discriminant analysis
- data points
- feature space
- lower dimensional
- satellite images
- input space
- spectral data
- data sets
- image analysis
- kernel pca
- sparse representation
- frequency domain
- least squares
- reflectance spectra
- image segmentation
- neural network