An overflow free fixed-point eigenvalue decomposition algorithm: Case study of dimensionality reduction in hyperspectral images.
Bibek KabiAnand S. SahadevanTapan PradhanPublished in: DASIP (2017)
Keyphrases
- fixed point
- hyperspectral images
- decomposition algorithm
- dimensionality reduction
- hyperspectral
- decomposition method
- hyperspectral data
- working set
- principal component analysis
- remote sensing
- high dimensional data
- sufficient conditions
- multispectral
- random projections
- belief propagation
- feature extraction
- high dimensional
- dynamical systems
- low dimensional
- pattern recognition
- recognition algorithm
- data points
- principal components
- least squares
- multispectral images
- feature selection
- feature space
- input space
- search space
- image data
- graph cuts
- multiscale