Supervised Spectral-Spatial Hyperspectral Image Classification With Weighted Markov Random Fields.
Le SunZebin WuJianjun LiuLiang XiaoZhihui WeiPublished in: IEEE Trans. Geosci. Remote. Sens. (2015)
Keyphrases
- markov random field
- hyperspectral image classification
- hyperspectral
- hyperspectral images
- active learning
- random fields
- graph cuts
- hyperspectral data
- belief propagation
- mrf model
- higher order
- maximum a posteriori
- energy function
- image segmentation
- hyperspectral imagery
- map inference
- image restoration
- spatial information
- energy minimization
- parameter estimation
- pairwise
- remote sensing
- semi supervised
- potential functions
- multispectral
- conditional random fields
- low level vision
- potts model
- learning algorithm
- infrared
- image data
- discriminative random fields
- feature selection
- markov networks
- map estimation
- target detection
- remote sensing images
- random sampling
- spatial resolution
- information content
- mutual information
- multiscale
- bayesian networks
- piecewise constant functions