Bilinear Factorization via Recursive Sample Factoring for Low-Rank Hyperspectral Image Recovery.
Yuxuan WangTimothy Apasiba AbeoLiangjun WangDickson Keddy WornyoXiang-Jun ShenPublished in: ICIG (3) (2019)
Keyphrases
- low rank
- hyperspectral
- image recovery
- singular value decomposition
- remote sensing
- matrix factorization
- convex optimization
- infrared
- missing data
- multispectral
- linear combination
- matrix completion
- low rank matrix
- convex sets
- compressive sensing
- non rigid structure from motion
- image data
- high order
- semi supervised
- information content
- high dimensional data
- least squares
- dimensionality reduction
- sample size
- dimension reduction
- principal component analysis
- active learning
- data sets
- nearest neighbor
- wavelet transform
- high dimensional
- multiscale