Bayesian Updating of Seismic Ground Failure Estimates via Causal Graphical Models and Satellite Imagery.
Susu XuJoshua DimasakaDavid J. WaldHae Young NohPublished in: CoRR (2022)
Keyphrases
- graphical models
- satellite imagery
- bayesian networks
- remote sensing
- change detection
- belief propagation
- satellite images
- probabilistic model
- random variables
- probabilistic inference
- statistical inference
- probabilistic graphical models
- approximate inference
- causal relationships
- posterior probability
- models with hidden variables
- conditional random fields
- conditional independence
- structure learning
- markov networks
- urban areas
- possibilistic networks
- marginal probabilities
- land cover
- exact inference
- maximum likelihood
- map inference
- causal networks
- factor graphs
- remote sensing images
- belief networks
- probability distribution
- bayesian inference
- image analysis
- multispectral
- pattern recognition
- bayesian framework
- high quality
- high resolution
- computer vision