Multiresolution Supervised Classification of Panchromatic and Multispectral Images by Markov Random Fields and Graph Cuts.
Gabriele MoserAndrea De GiorgiSebastiano Bruno SerpicoPublished in: IEEE Trans. Geosci. Remote. Sens. (2016)
Keyphrases
- supervised classification
- multispectral images
- graph cuts
- markov random field
- multiresolution
- multispectral
- image segmentation
- energy function
- belief propagation
- energy minimization
- supervised learning
- spatial resolution
- higher order
- high spatial resolution
- remote sensing images
- maximum a posteriori
- parameter estimation
- pairwise
- segmentation algorithm
- image fusion
- unsupervised learning
- wavelet transform
- remote sensing
- fusion method
- random fields
- conditional random fields
- hyperspectral images
- color images
- image analysis
- edge information
- mrf optimization
- iterated conditional modes
- image reconstruction
- image data
- machine learning
- loopy belief propagation
- pattern recognition
- low level vision
- high resolution
- hyperspectral
- change detection
- similarity measure
- multiscale
- segmentation method
- labeling problems