Nonlinear Bayesian unmixing of geospatial data based on GIBBS sampling.
Ryuei NishiiPan QinDaisuke UchiPublished in: IGARSS (2013)
Keyphrases
- geospatial data
- gibbs sampling
- dirichlet process mixture
- markov chain monte carlo
- spatial data
- markov chain
- topic models
- parameter estimation
- em algorithm
- expectation maximization
- latent dirichlet allocation
- maximum likelihood
- data processing
- approximate inference
- data collection
- belief networks
- data management
- posterior distribution
- multiple sources
- bayesian inference
- data sources
- heterogeneous data
- exact inference
- bayesian networks
- posterior probability
- generative model
- spatial objects
- graphical models
- probability distribution
- spatial databases
- data integration
- particle filter
- information extraction
- data analysis
- databases