Dimensionality Reduction with Weighted K-Means for Hyperspectral Image Classification.
Michael WongChih-Cheng HungPublished in: IGARSS (2020)
Keyphrases
- dimensionality reduction
- hyperspectral image classification
- k means
- active learning
- hyperspectral
- hyperspectral images
- high dimensional
- high dimensional data
- pattern recognition
- data clustering
- principal components
- cluster analysis
- low dimensional
- hyperspectral data
- clustering method
- input space
- principal component analysis
- remote sensing
- high dimensionality
- clustering algorithm
- dimension reduction
- dimensionality reduction methods
- spectral clustering
- semi supervised
- feature extraction
- information content
- random projections
- image data
- training set