Low-Rank and Sparse Matrix Recovery for Hyperspectral Image Reconstruction Using Bayesian Learning.
Yanbin ZhangLong-Ting HuangYangqing LiKai ZhangChangchuan YinPublished in: Sensors (2022)
Keyphrases
- image reconstruction
- hyperspectral
- low rank and sparse
- convex optimization
- low rank
- remote sensing
- multispectral
- maximum a posteriori
- posterior distribution
- image data
- super resolution
- compressed sensing
- model selection
- matrix factorization
- high resolution
- computer vision
- semi supervised
- probability distribution
- em algorithm
- high quality