Hyperspectral Image Classification With Markov Random Fields and a Convolutional Neural Network.
Xiangyong CaoFeng ZhouLin XuDeyu MengZongben XuJohn W. PaisleyPublished in: IEEE Trans. Image Process. (2018)
Keyphrases
- markov random field
- convolutional neural network
- hyperspectral image classification
- active learning
- hyperspectral
- hyperspectral images
- face detection
- graph cuts
- mrf model
- higher order
- belief propagation
- pairwise
- random fields
- maximum a posteriori
- parameter estimation
- image restoration
- neural network
- energy function
- energy minimization
- image segmentation
- potential functions
- conditional random fields
- hyperspectral data
- map estimation
- map inference
- potts model
- machine learning
- remote sensing
- low level vision
- object recognition
- spatial resolution
- learning process
- image analysis