Randomized Principal Component Analysis for Hyperspectral Image Classification.
Mustafa UstunerPublished in: CoRR (2024)
Keyphrases
- hyperspectral image classification
- principal component analysis
- active learning
- hyperspectral
- hyperspectral images
- principal components
- independent component analysis
- hyperspectral data
- dimensionality reduction
- dimension reduction
- covariance matrix
- face recognition
- feature extraction
- linear discriminant analysis
- low dimensional
- face images
- random projections
- multispectral
- remote sensing
- feature space
- singular value decomposition
- image data
- frame rate
- target detection
- learning environment
- multi band
- hyperspectral imagery
- learning algorithm