Implementation of the Principal Component Analysis onto High-Performance Computer Facilities for Hyperspectral Dimensionality Reduction: Results and Comparisons.
Ernestina MartelRaquel LazcanoJ. LopezDaniel MadroñalRubén SalvadorSebastián LópezE. JuarezRaúl GuerraCésar SanzRoberto SarmientoPublished in: CoRR (2024)
Keyphrases
- dimensionality reduction
- hyperspectral
- principal component analysis
- principal components
- hyperspectral data
- hyperspectral images
- remote sensing
- random projections
- multispectral
- low dimensional
- infrared
- dimension reduction
- hyperspectral imaging
- spectral imagery
- hyperspectral imagery
- high dimensionality
- linear discriminant analysis
- independent component analysis
- high dimensional data
- hyperspectral remote sensing
- spectral bands
- dimensionality reduction methods
- discriminant analysis
- feature extraction
- pixel classification
- high dimensional
- lower dimensional
- face recognition
- pattern recognition
- feature space
- multi band
- singular value decomposition
- data points
- target detection
- spatial resolution
- image data
- hyperspectral image classification
- parallel computers
- remote sensing images
- information content
- mutual information