Semisupervised Dimension Reduction Based on Pairwise Constraint Propagation for Hyperspectral Images.
Weibao DuMeng LvQiuling HouLing JingPublished in: IEEE Geosci. Remote. Sens. Lett. (2016)
Keyphrases
- dimension reduction
- constraint propagation
- hyperspectral images
- pairwise
- semi supervised
- unsupervised learning
- hyperspectral
- feature extraction
- constraint programming
- constraint satisfaction problems
- principal component analysis
- remote sensing
- low dimensional
- temporal constraints
- constraint satisfaction
- high dimensional data
- singular value decomposition
- high dimensional
- multispectral
- linear discriminant analysis
- feature space
- random projections
- feature selection
- high dimensionality
- partial least squares
- dimensionality reduction
- supervised learning
- search space
- multispectral images
- cluster analysis
- similarity measure
- neural network
- infrared
- information content
- preprocessing
- computer vision
- machine learning
- data sets