Learning a local manifold representation based on improved neighborhood rough set and LLE for hyperspectral dimensionality reduction.
Wenbo YuMiao ZhangYi ShenPublished in: Signal Process. (2019)
Keyphrases
- rough sets
- dimensionality reduction
- hyperspectral
- rough set theory
- manifold learning
- high dimensional
- low dimensional
- learning algorithm
- nonlinear dimensionality reduction
- locally linear embedding
- learning process
- information entropy
- hyperspectral images
- image processing
- knowledge acquisition
- infrared
- remote sensing
- active learning
- real world
- databases
- attribute reduction
- dimensionality reduction methods
- hyperspectral remote sensing
- high dimensionality
- feature selection
- machine learning
- neural network