Sparse graph embedding dimension reduction for hyperspectral image with a new spectral similarity metric.
Fubiao FengWei LiQian DuQiong RanPublished in: IGARSS (2017)
Keyphrases
- dimension reduction
- similarity metric
- graph embedding
- hyperspectral images
- low dimensional
- high dimensional
- dimensionality reduction
- hyperspectral
- hyperspectral imagery
- random projections
- spectral signatures
- high dimensional data
- dictionary learning
- principal component analysis
- manifold learning
- similarity measure
- discriminant analysis
- remote sensing
- linear discriminant analysis
- multispectral
- data points
- sparse representation
- feature space
- high dimensionality
- subspace learning
- feature extraction
- multispectral images
- singular value decomposition
- sparse coding
- feature representation
- partial least squares
- data representation
- semi supervised
- label information
- feature selection
- unsupervised learning
- image data
- similarity search
- nearest neighbor
- cluster analysis
- neural network
- infrared
- probabilistic model