Hyperspectral Tensor Completion Using Low-Rank Modeling and Convex Functional Analysis.
Chia-Hsiang LinYangrui LiuChong-Yung ChiChih-Chung HsuHsuan RenTony Q. S. QuekPublished in: IEEE Trans. Neural Networks Learn. Syst. (2024)
Keyphrases
- low rank
- hyperspectral
- functional analysis
- convex optimization
- trace norm
- high order
- remote sensing
- hyperspectral images
- infrared
- tensor decomposition
- minimization problems
- matrix factorization
- multispectral
- image data
- linear combination
- missing data
- singular value decomposition
- hyperspectral data
- rank minimization
- high dimensional data
- low rank matrix
- matrix completion
- kernel matrix
- higher order
- convex relaxation
- low dimensional
- dimensionality reduction
- singular values
- collaborative filtering
- least squares
- semi supervised
- information content
- small number
- feature selection
- learning algorithm