An Improved Locality Preserving Projection Method for Dimensionality Reduction with Hyperspectral Image.
Juan XiongSheng DingBo LiPublished in: ICSI (2) (2017)
Keyphrases
- locality preserving
- projection method
- dimensionality reduction
- hyperspectral images
- locality preserving projections
- hyperspectral
- manifold learning
- hyperspectral imagery
- data representation
- kernel trick
- remote sensing
- low dimensional
- high dimensional
- dimensionality reduction methods
- high dimensional data
- feature extraction
- pattern recognition
- principal component analysis
- feature selection
- subspace learning
- multispectral
- high dimensionality
- random projections
- input space
- lower dimensional
- manifold structure
- linear discriminant analysis
- singular value decomposition
- embedding space
- data points
- target detection
- nonlinear dimensionality reduction
- feature space
- principal components
- metric learning
- kernel pca
- locally linear embedding
- dimension reduction
- image processing
- sparse representation
- machine learning
- hash functions
- data sets
- infrared