Why principal component analysis is not an appropriate feature extraction method for hyperspectral data.
Anil M. CheriyadatLori M. BrucePublished in: IGARSS (2003)
Keyphrases
- hyperspectral data
- principal component analysis
- random projections
- principal components
- hyperspectral
- hyperspectral images
- dimensionality reduction
- hyperspectral imagery
- dimension reduction
- multispectral
- infrared
- low dimensional
- lower dimensional
- covariance matrix
- independent component analysis
- feature extraction
- linear discriminant analysis
- original data
- face recognition
- remote sensing
- face images
- principle component analysis
- feature space
- singular value decomposition
- data sets
- data compression
- target detection
- image data
- spatial correlation