Change Detection Using High Resolution Remote Sensing Images Based on Active Learning and Markov Random Fields.
Huai YuWen YangGuang HuaHui RuPingping HuangPublished in: Remote. Sens. (2017)
Keyphrases
- change detection
- markov random field
- active learning
- remote sensing images
- graph cuts
- maximum a posteriori
- remote sensing
- random fields
- mrf model
- belief propagation
- higher order
- energy minimization
- semi supervised
- parameter estimation
- remotely sensed images
- energy function
- pairwise
- conditional random fields
- satellite images
- remote sensing imagery
- data streams
- image restoration
- supervised learning
- image segmentation
- low level vision
- image registration
- training set
- random sampling
- machine learning
- learning algorithm
- potts model
- land cover
- potential functions
- map estimation
- map inference
- piecewise constant functions
- bayesian framework
- image analysis
- image sequences
- discriminative random fields