Correlation matrix feature extraction based on spectral clustering for hyperspectral image segmentation.
Bor-Chen KuoWei-Ming ChangCheng-Hsuan LiChih-Cheng HungPublished in: WHISPERS (2012)
Keyphrases
- spectral clustering
- correlation matrix
- hyperspectral
- signal subspace
- feature extraction
- image segmentation
- remote sensing
- covariance matrix
- infrared
- hyperspectral images
- image processing
- multispectral
- singular value decomposition
- eigenvalue decomposition
- normalized cut
- clustering method
- data clustering
- pairwise
- image data
- kernel pca
- principal component analysis
- hyperspectral data
- graph partitioning
- information content
- k means
- clustering algorithm
- laplacian matrix
- face recognition
- computer vision
- feature selection
- dimension reduction
- linear discriminant analysis
- least squares
- feature vectors
- pattern recognition
- sample size
- frequency domain
- dimensionality reduction
- co occurrence
- reinforcement learning