A Robust PCA Approach With Noise Structure Learning and Spatial-Spectral Low-Rank Modeling for Hyperspectral Image Restoration.
Wenfei CaoKaidong WangGuodong HanJing YaoAndrzej CichockiPublished in: IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. (2018)
Keyphrases
- image restoration
- hyperspectral
- low rank
- structure learning
- hyperspectral data
- missing data
- total variation
- convex optimization
- remote sensing
- singular value decomposition
- bayesian networks
- graphical models
- multispectral
- linear combination
- image data
- image processing
- markov random field
- spatial resolution
- principal component analysis
- high dimensional data
- semi supervised
- parameter estimation
- super resolution
- principal components
- transfer learning
- high dimensional
- incomplete data
- face recognition
- nearest neighbor
- optical flow
- dimensionality reduction
- markov networks
- image analysis
- feature extraction
- learning algorithm