Hyperspectral Image Superresolution Using Global Gradient Sparse and Nonlocal Low-Rank Tensor Decomposition With Hyper-Laplacian Prior.
Yidong PengWeisheng LiXiaobo LuoJiao DuPublished in: IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. (2021)
Keyphrases
- tensor decomposition
- low rank
- super resolution
- high order
- high resolution
- image restoration
- remote sensing
- linear combination
- data representation
- image reconstruction
- missing data
- matrix factorization
- convex optimization
- hyperspectral
- low rank matrix
- singular value decomposition
- auxiliary information
- rank minimization
- tensor factorization
- matrix completion
- edge detection
- motion estimation
- high quality
- high dimensional data
- semi supervised
- higher order
- image denoising
- collaborative filtering
- optical flow
- target detection
- data analysis
- multiscale
- similarity measure