Exploiting Sparsity in Hyperspectral Image Classification via Graphical Models.
Umamahesh SrinivasYi ChenVishal MongaNasser M. NasrabadiTrac D. TranPublished in: IEEE Geosci. Remote. Sens. Lett. (2013)
Keyphrases
- graphical models
- hyperspectral image classification
- belief propagation
- probabilistic model
- hyperspectral
- active learning
- random variables
- hyperspectral images
- probabilistic inference
- probabilistic graphical models
- bayesian networks
- approximate inference
- conditional random fields
- markov networks
- conditional independence
- structure learning
- map inference
- belief networks
- factor graphs
- high dimensional
- hyperspectral data
- loopy belief propagation
- computer vision
- undirected graphical models
- image processing
- exact inference
- statistical inference
- multispectral
- machine learning
- possibilistic networks