Unsupervised Bayesian Subpixel Mapping of Hyperspectral Imagery Based on Band-Weighted Discrete Spectral Mixture Model and Markov Random Field.
Yujia ChenLinlin XuYuan FangJunhuan PengWenfu YangAlexander WongDavid A. ClausiPublished in: IEEE Geosci. Remote. Sens. Lett. (2021)
Keyphrases
- markov random field
- hyperspectral imagery
- mixture model
- spectral bands
- unsupervised learning
- maximum likelihood
- hyperspectral
- hyperspectral images
- multispectral
- em algorithm
- maximum a posteriori
- hyperspectral data
- gaussian mixture model
- remote sensing
- graph cuts
- higher order
- expectation maximization
- pairwise
- probabilistic model
- spatial resolution
- parameter estimation
- target detection
- image segmentation
- generative model
- posterior distribution
- model selection
- energy function
- optical flow
- bayesian networks
- multispectral images
- infrared
- prior distribution
- language model
- probability density function
- semi supervised
- image analysis
- supervised learning
- image data
- image reconstruction
- machine learning
- image processing