Hyperspectral Image Recovery Using Non-Convex Low-Rank Tensor Approximation.
Hongyi LiuHanyang LiZebin WuZhihui WeiPublished in: Remote. Sens. (2020)
Keyphrases
- low rank
- hyperspectral images
- frobenius norm
- convex optimization
- nuclear norm
- trace norm
- high order
- hyperspectral
- tensor decomposition
- matrix completion
- matrix factorization
- low rank matrix
- minimization problems
- missing data
- linear combination
- singular value decomposition
- low rank approximation
- kernel matrix
- rank minimization
- semi supervised
- remote sensing
- multispectral
- high dimensional data
- approximation methods
- tensor factorization
- target detection
- higher order
- convex relaxation
- total variation
- image data
- singular values
- dimensionality reduction