Multimodal Low-Rank Tensor Subspace Learning for Hyperspectral Image Restoration.
Junrui LvXuegang LuoWang JuanPublished in: IEEE Geosci. Remote. Sens. Lett. (2023)
Keyphrases
- image restoration
- low rank
- subspace learning
- hyperspectral
- dimensionality reduction
- high dimensional data
- high order
- singular value decomposition
- semi supervised
- remote sensing
- total variation
- markov random field
- convex optimization
- low dimensional
- linear combination
- image processing
- higher order
- manifold learning
- missing data
- image data
- kernel matrix
- super resolution
- matrix factorization
- high dimensional
- high dimensionality
- principal component analysis
- sparse coding
- data representation
- sparse representation
- pairwise
- data points
- machine learning
- unsupervised learning
- pattern recognition
- natural images
- nearest neighbor
- feature extraction
- face recognition
- neural network
- high resolution
- random projections
- feature selection
- model selection
- image registration
- feature space
- multiscale