A Tutorial on Modeling and Inference in Undirected Graphical Models for Hyperspectral Image Analysis.
Utsav B. GewaliSildomar T. MonteiroPublished in: CoRR (2018)
Keyphrases
- hyperspectral
- undirected graphical models
- image analysis
- remote sensing
- multispectral
- hyperspectral images
- graphical models
- exact inference
- infrared
- conditional random fields
- image data
- hyperspectral data
- probabilistic model
- approximate inference
- probabilistic graphical models
- image processing
- factor graphs
- markov random field
- dynamic bayesian networks
- computer vision
- pattern recognition
- probabilistic inference
- belief networks
- satellite images
- image segmentation
- partition function
- random fields
- higher order
- belief propagation
- active learning
- structured prediction
- high dimensional
- information content