Hyperspectral Image Segmentation with Markov Random Fields and a Convolutional Neural Network.
Xiangyong CaoFeng ZhouLin XuDeyu MengZongben XuJohn W. PaisleyPublished in: CoRR (2017)
Keyphrases
- markov random field
- convolutional neural network
- image segmentation
- energy function
- hyperspectral images
- mrf model
- low level vision
- textured images
- graph cuts
- mrf models
- label field
- hyperspectral
- scene labeling
- belief propagation
- image restoration
- segmentation algorithm
- random fields
- maximum a posteriori
- energy minimization
- potential functions
- level set
- hyperspectral imagery
- parameter estimation
- higher order
- segmentation method
- pairwise
- multiscale
- face detection
- remote sensing
- texture segmentation
- discriminative random fields
- neural network
- region growing
- conditional random fields
- multispectral
- image data
- pixel classification
- piecewise constant functions
- target detection
- bayesian framework
- natural images
- mutual information
- denoising
- color images
- multiresolution
- image analysis
- image processing
- computer vision