Bayesian Subpixel Mapping of Hyperspectral Imagery via Discrete Endmember Variability Mixture Model and Markov Random Field.
Yujia ChenRongming ZhuoLinlin XuJunhuan PengXiaoman QiZhaoxu ZhangZhongzheng HuPublished in: IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. (2022)
Keyphrases
- hyperspectral imagery
- mixture model
- markov random field
- maximum likelihood
- hyperspectral images
- maximum a posteriori
- em algorithm
- gaussian mixture model
- multispectral
- graph cuts
- remote sensing
- hyperspectral
- spatial resolution
- higher order
- probabilistic model
- high dimensional feature space
- expectation maximization
- target detection
- generative model
- energy function
- posterior distribution
- parameter estimation
- image segmentation
- model selection
- language model
- pairwise
- unsupervised learning
- bayesian networks
- optical flow
- probability density function
- prior distribution
- infrared
- image reconstruction
- gaussian distribution
- text classification
- hyperparameters
- dimensionality reduction