Markov random field with homogeneous areas priors for hyperspectral image classification.
Yang XuZebin WuZhihui WeiPublished in: IGARSS (2014)
Keyphrases
- markov random field
- hyperspectral image classification
- homogeneous areas
- maximum a posteriori
- prior model
- active learning
- hyperspectral
- map estimation
- image structure
- labeling problems
- diffusion process
- higher order cliques
- belief propagation
- mrf model
- graph cuts
- energy function
- image restoration
- parameter estimation
- bayesian framework
- image segmentation
- higher order
- pairwise
- smoothness prior
- scale space
- image sequences
- high quality
- multiscale
- feature vectors
- image data
- input image
- maximum likelihood
- remote sensing
- random variables