Dimensionality Reduction of Hyperspectral Images Based on Robust Spatial Information Using Locally Linear Embedding.
Yu FangHao LiYong MaKun LiangYingjie HuShaojie ZhangHongyuan WangPublished in: IEEE Geosci. Remote. Sens. Lett. (2014)
Keyphrases
- spatial information
- dimensionality reduction
- locally linear embedding
- hyperspectral images
- nonlinear dimensionality reduction
- facial pose
- manifold learning
- low dimensional
- high dimensional
- high dimensional data
- hyperspectral
- pattern recognition
- dimensionality reduction methods
- spatial resolution
- feature space
- high dimensionality
- subspace learning
- feature extraction
- feature selection
- principal component analysis
- remote sensing
- random projections
- linear discriminant analysis
- principal components analysis
- principal components
- data sets
- target detection
- multispectral
- data points
- dimension reduction
- dimensional data
- image processing
- neural network