Unsupervised Bayesian Classification of a Hyperspectral Image Based on the Spectral Mixture Model and Markov Random Field.
Yuan FangLinlin XuJunhuan PengHonglei YangAlexander WongDavid A. ClausiPublished in: IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. (2018)
Keyphrases
- mixture model
- markov random field
- hyperspectral
- unsupervised learning
- hyperspectral images
- remote sensing
- infrared
- multispectral
- maximum a posteriori
- probabilistic model
- belief propagation
- em algorithm
- expectation maximization
- generative model
- graph cuts
- parameter estimation
- energy function
- conditional random fields
- higher order
- image segmentation
- maximum likelihood
- pairwise
- supervised learning
- image data
- spatial resolution
- model selection
- semi supervised
- supervised classification
- computer vision
- object recognition
- image analysis
- bayesian classifiers
- semi supervised learning
- feature extraction
- image processing
- information retrieval