An approximate message passing approach for compressive hyperspectral imaging using a simultaneous low-rank and joint-sparsity prior.
Yangqing LiSaurabh PrasadWei ChenChangchuan YinZhu HanPublished in: WHISPERS (2016)
Keyphrases
- message passing
- low rank
- hyperspectral imaging
- target detection
- matrix factorization
- convex optimization
- missing data
- linear combination
- belief propagation
- singular value decomposition
- distributed systems
- high dimensional data
- sparse representation
- approximate inference
- semi supervised
- high dimensional
- high order
- markov random field
- compressive sensing
- graphical models
- nearest neighbor
- pairwise
- stereo matching
- collaborative filtering
- computer vision
- data analysis
- multiscale
- higher order
- bayesian networks
- image segmentation