Adaptive Markov Random Fields for Joint Unmixing and Segmentation of Hyperspectral Images.
Olivier EchesJón Atli BenediktssonNicolas DobigeonJean-Yves TourneretPublished in: IEEE Trans. Image Process. (2013)
Keyphrases
- hyperspectral images
- markov random field
- image segmentation
- energy function
- mrf model
- hyperspectral
- low level vision
- textured images
- hyperspectral data
- label field
- graph cuts
- hyperspectral imagery
- scene labeling
- energy minimization
- belief propagation
- remote sensing
- segmentation algorithm
- higher order
- parameter estimation
- multispectral
- level set
- image restoration
- random fields
- maximum a posteriori
- segmentation method
- discriminative random fields
- conditional random fields
- pixel classification
- pairwise
- region growing
- potential functions
- image labeling
- multiscale
- piecewise constant functions
- multispectral images
- target detection
- image analysis
- gibbs energy
- computer vision
- spatial resolution
- change detection
- infrared
- edge detection
- image data
- feature selection