Classification of Multisensor and Multiresolution Remote Sensing Images Through Hierarchical Markov Random Fields.
Ihsen HedhliGabriele MoserSebastiano B. SerpicoJosiane ZerubiaPublished in: IEEE Geosci. Remote. Sens. Lett. (2017)
Keyphrases
- markov random field
- remote sensing images
- multi sensor
- image fusion
- remote sensing
- multiresolution
- landsat etm
- multi spectral images
- multispectral
- data fusion
- change detection
- coarse to fine
- discriminative random fields
- energy minimization
- parameter estimation
- infrared
- energy function
- graph cuts
- higher order
- maximum a posteriori
- image restoration
- random fields
- image segmentation
- potential functions
- fusion method
- machine learning
- wavelet transform
- image registration
- conditional random fields
- belief propagation
- image processing
- hyperspectral
- mrf model
- piecewise constant functions
- pattern recognition
- satellite images
- wavelet coefficients
- low level vision
- markov networks
- information extraction
- dempster shafer
- image classification
- pairwise
- feature vectors
- high quality
- maximum entropy
- real time