A Convex Low-Rank Regularization Method for Hyperspectral Super-Resolution.
Ruiyuan WuQiang LiXiao FuWing-Kin MaPublished in: SSP (2018)
Keyphrases
- low rank
- super resolution
- hyperspectral
- convex optimization
- image restoration
- total variation
- remote sensing
- high resolution
- regularization parameter
- low resolution
- image reconstruction
- multispectral
- image data
- spatial resolution
- motion estimation
- linear combination
- missing data
- high quality
- high order
- depth map
- semi supervised
- singular value decomposition
- image patches
- high dimensional data
- cross validation
- data sets
- image analysis
- pattern recognition
- feature selection