Randomized Tensor Robust PCA for Noisy Hyperspectral Image Classification.
Mohammad M. SalutDavid V. AndersonPublished in: IEEE Geosci. Remote. Sens. Lett. (2023)
Keyphrases
- hyperspectral image classification
- principal component analysis
- dimensionality reduction
- noisy environments
- principal components
- feature extraction
- feature space
- mutual information
- hyperspectral images
- hyperspectral
- high order
- tensor analysis
- random projections
- dimension reduction
- data sets
- low dimensional
- image analysis
- e learning