Content-Aware Subspace Low-Rank Tensor Recovery for Hyperspectral Image Restoration.
Xueyao XiaoWei ZhangYi ChangShuning CaoWei HeHouzhang FangLuxin YanPublished in: IEEE Trans. Geosci. Remote. Sens. (2023)
Keyphrases
- image restoration
- hyperspectral
- low rank
- high order
- high dimensional data
- dimensionality reduction
- total variation
- remote sensing
- multispectral
- convex optimization
- markov random field
- infrared
- singular value decomposition
- higher order
- linear combination
- low dimensional
- missing data
- image processing
- matrix factorization
- image data
- kernel matrix
- super resolution
- spatial resolution
- high dimensional
- semi supervised
- blurred images
- feature extraction
- information content
- principal component analysis
- data sets
- data analysis
- feature space
- multiscale
- satellite images
- principal components
- original data
- pairwise
- pattern recognition
- learning algorithm
- machine learning
- gaussian noise
- image analysis