Weighted Low-Rank Representation-Based Dimension Reduction for Hyperspectral Image Classification.
Xiaotao WangFang LiuPublished in: IEEE Geosci. Remote. Sens. Lett. (2017)
Keyphrases
- dimension reduction
- hyperspectral image classification
- low rank representation
- low rank
- principal component analysis
- hyperspectral
- feature extraction
- hyperspectral images
- singular value decomposition
- high dimensional data
- active learning
- low dimensional
- high dimensional
- linear discriminant analysis
- manifold learning
- random projections
- feature selection
- cluster analysis
- affinity matrix
- high dimensionality
- dimensionality reduction
- feature space
- preprocessing
- remote sensing
- data sets
- unsupervised learning
- convex optimization
- learning algorithm
- image data
- neural network
- data points
- least squares