Multivariate Regression-Based Pan-Sharpening With Low Rank Regularization.
Yufei ZhangHeng LiLiang XiaoPublished in: IGARSS (2018)
Keyphrases
- low rank
- rank minimization
- trace norm
- minimization problems
- kernel matrices
- group sparsity
- linear combination
- missing data
- matrix completion
- matrix factorization
- convex optimization
- low rank matrix
- singular value decomposition
- high dimensional data
- regression model
- semi supervised
- matrix decomposition
- kernel matrix
- high order
- gaussian process
- affinity matrix
- robust principal component analysis
- norm minimization
- active learning
- non rigid structure from motion
- multiscale
- low rank matrices
- low rank and sparse
- training data