Outlier-robust dimension reduction and its impact on hyperspectral endmember extraction.
Hao-En HuangTsung-Han ChanArul-Murugan AmbikapathiWing-Kin MaChong-Yung ChiPublished in: WHISPERS (2012)
Keyphrases
- dimension reduction
- hyperspectral
- hyperspectral images
- hyperspectral imagery
- hyperspectral data
- random projections
- infrared
- multispectral
- remote sensing
- principal component analysis
- feature extraction
- target detection
- high dimensional
- hyperspectral remote sensing
- linear discriminant analysis
- low dimensional
- feature space
- feature selection
- partial least squares
- singular value decomposition
- high dimensionality
- high dimensional data
- image data
- satellite images
- spatial resolution
- dimensionality reduction
- cluster analysis
- neural network
- data sets
- high quality
- object recognition
- preprocessing
- information content
- feature vectors
- information extraction