Hyperspectral Image Spectral-Spatial Feature Extraction via Tensor Principal Component Analysis.
Yuemei RenLiang LiaoStephen John MaybankYanning ZhangXin LiuPublished in: IEEE Geosci. Remote. Sens. Lett. (2017)
Keyphrases
- principal component analysis
- hyperspectral images
- spectral signatures
- feature extraction
- frequency domain
- dimensionality reduction
- hyperspectral
- hyperspectral imagery
- hyperspectral data
- random projections
- principal components
- dimension reduction
- linear discriminant analysis
- discriminant analysis
- subspace projection
- spectral bands
- remote sensing
- face recognition
- feature space
- low dimensional
- multispectral
- spatial frequency
- spectral data
- hyperspectral image classification
- independent component analysis
- hyperspectral imaging
- face images
- band selection
- spectral features
- spectral resolution
- target detection
- pattern recognition
- covariance matrix
- spatial resolution
- infrared
- singular value decomposition
- wavelet transform
- information content
- image data
- spatial information
- principle component analysis
- feature vectors
- change detection
- kernel pca
- feature set
- image processing
- edge information
- feature selection
- computer vision