Laplacian Regularized Tensor Low-Rank Minimization for Hyperspectral Snapshot Compressive Imaging.
Yi YangFei JiangHongtao LuPublished in: ICASSP (2021)
Keyphrases
- hyperspectral
- trace norm
- low rank
- norm minimization
- compressive sensing
- minimization problems
- spectral resolution
- high order
- remote sensing
- hyperspectral images
- sparse representation
- convex optimization
- sparse coding
- multispectral
- infrared
- matrix completion
- high resolution
- missing data
- image data
- matrix factorization
- hyperspectral data
- linear combination
- image analysis
- singular value decomposition
- low rank matrix
- spatial resolution
- random projections
- multi task
- information content
- image processing
- tensor decomposition
- kernel matrix
- high dimensional data
- semi supervised
- higher order
- image representation
- signal processing
- graph laplacian
- total variation
- face recognition