Supervised segmentation of remote sensing images based on a tree-structured MRF model.
Giovanni PoggiGiuseppe ScarpaJosiane ZerubiaPublished in: IEEE Trans. Geosci. Remote. Sens. (2005)
Keyphrases
- mrf model
- remote sensing images
- markov random field
- image segmentation
- change detection
- multispectral
- remote sensing
- energy function
- mrf models
- marked point processes
- remotely sensed images
- observation model
- bayesian framework
- multi spectral images
- maximum a posteriori
- segmentation algorithm
- segmentation scheme
- land cover
- parameter estimation
- multispectral images
- satellite images
- conditional random fields
- graph cuts
- image analysis
- initial segmentation
- long range
- random fields
- learning algorithm
- neural network
- smoothness prior
- pairwise
- region growing
- higher order
- supervised learning
- feature selection
- image processing
- bayesian networks
- pixel level
- potential functions
- machine learning
- multiscale
- active contours
- data sets
- data streams
- semi supervised
- image registration
- pattern recognition
- segmentation method
- hyperspectral