Using local transition probability models in Markov Random Field for multi-temporal image classification.
Wei FuZiqi GuoQiang ZhouCaixia LiuBaogang ZhangPublished in: IGARSS (2010)
Keyphrases
- markov random field
- probability models
- image classification
- probability distribution
- mrf model
- maximum a posteriori
- parameter estimation
- graph cuts
- higher order
- belief propagation
- spatial continuity
- statistical models
- image segmentation
- prior distribution
- image restoration
- energy function
- pairwise
- energy minimization
- feature extraction
- prior model
- machine learning
- image features
- closed curves
- computer vision
- shape model
- bayesian framework
- similarity measure
- feature selection