GJTD-LR: A Trainable Grouped Joint Tensor Dictionary With Low-Rank Prior for Single Hyperspectral Image Super-Resolution.
Cong LiuZhihao FanGuixu ZhangPublished in: IEEE Trans. Geosci. Remote. Sens. (2022)
Keyphrases
- image super resolution
- low rank
- hyperspectral
- low resolution
- trace norm
- super resolution
- high order
- remote sensing
- high resolution
- matrix factorization
- convex optimization
- maximum a posteriori
- multispectral
- missing data
- dictionary learning
- singular value decomposition
- image registration
- image data
- linear combination
- low resolution images
- sparse representation
- high dimensional data
- image reconstruction
- edge preserving
- spatial resolution
- semi supervised
- higher order
- computer vision
- machine learning
- high quality
- object detection
- least squares
- principal component analysis
- image patches
- pairwise
- face images
- decision trees
- dimensionality reduction