GPU implementation of hyperspectral image classification based on weighted Markov random fields.
Zebin WuQicong WangAntonio PlazaJun LiJie WeiZhihui WeiPublished in: WHISPERS (2016)
Keyphrases
- markov random field
- gpu implementation
- hyperspectral image classification
- active learning
- random fields
- real time
- higher order
- hyperspectral images
- graph cuts
- energy function
- parameter estimation
- feature tracking
- hyperspectral
- belief propagation
- pairwise
- maximum a posteriori
- image segmentation
- potential functions
- message passing
- graphics processing units
- object tracking
- parallel processing
- structure from motion
- multispectral
- image analysis
- image sequences