Hyperspectral image compressive reconstruction with low-rank tensor constraint.
Yangyang LiJianping ZhangGuiling SunShijie WangPublished in: J. Electronic Imaging (2020)
Keyphrases
- trace norm
- low rank
- hyperspectral images
- compressive sensing
- high order
- hyperspectral
- tensor decomposition
- low rank matrix
- linear combination
- random projections
- missing data
- non rigid structure from motion
- convex optimization
- remote sensing
- sparse representation
- singular value decomposition
- high dimensional data
- rank minimization
- semi supervised
- multispectral
- matrix factorization
- matrix completion
- image reconstruction
- image representation
- target detection
- infrared
- reconstruction error
- principal component analysis
- singular values
- higher order
- image data
- high resolution
- feature space
- dimensionality reduction
- multispectral images
- nearest neighbor
- high quality