Nonlinear Dimensionality Reduction of Hyperspectral Data Using Spectral Correlation as a Similarity Measure.
Evgeny MyasnikovPublished in: AIST (2017)
Keyphrases
- hyperspectral data
- nonlinear dimensionality reduction
- similarity measure
- hyperspectral
- hyperspectral imagery
- hyperspectral images
- random projections
- dimensionality reduction
- manifold learning
- low dimensional
- multispectral
- remote sensing
- infrared
- dimensionality reduction methods
- high dimensional data
- principal components
- riemannian manifolds
- locally linear embedding
- distance measure
- spatial resolution
- image data
- target detection
- euclidean distance
- principal component analysis
- sparse representation
- multispectral images
- pattern recognition
- data sets
- similarity search
- clustering method
- mutual information
- euclidean space
- dimension reduction
- image analysis
- high dimensional
- feature space
- data analysis