Contextual Unmixing of Geospatial Data based on Gaussian Mixture Models and Markov Random Fields.
Ryuei NishiiYoko SawamuraAkiko NakamotoShuji KawaguchiPublished in: IGARSS (4) (2008)
Keyphrases
- markov random field
- gaussian mixture model
- geospatial data
- spatial data
- mixture model
- data collection
- data processing
- higher order
- image segmentation
- maximum a posteriori
- random fields
- expectation maximization
- graph cuts
- em algorithm
- maximum likelihood
- belief propagation
- parameter estimation
- feature vectors
- data sources
- energy function
- hyperspectral
- data management
- pairwise
- multiple sources
- heterogeneous data
- hyperspectral images
- probability density function
- spatial objects
- big data
- unsupervised learning
- visual words
- non stationary
- data mining
- model selection
- data model
- feature space
- image processing