Multiview Locally Linear Embedding for Spectral-Spatial Dimensionality Reduction of Hyperspectral Imagery.
Haochen JiZongyu ZuoPublished in: IEEE CAA J. Autom. Sinica (2022)
Keyphrases
- hyperspectral imagery
- locally linear embedding
- dimensionality reduction
- spectral signatures
- nonlinear dimensionality reduction
- manifold learning
- hyperspectral images
- low dimensional
- hyperspectral data
- hyperspectral
- high dimensional data
- spatial resolution
- high dimensional feature space
- multispectral
- high dimensional
- principal component analysis
- target detection
- spatial information
- remote sensing
- pattern recognition
- dimensionality reduction methods
- random projections
- infrared
- subspace learning
- feature space
- multi view
- feature extraction
- linear discriminant analysis
- high dimensionality
- data points
- principal components
- euclidean distance
- dimension reduction
- dimensional data
- spatial frequency
- frequency domain
- computer vision
- principal components analysis
- feature vectors
- feature selection
- sparse representation
- triangular mesh
- multi dimensional
- image analysis