SLCRF: Subspace Learning With Conditional Random Field for Hyperspectral Image Classification.
Yun CaoJie MeiYuebin WangLiqiang ZhangJunhuan PengBing ZhangLihua LiYibo ZhengPublished in: IEEE Trans. Geosci. Remote. Sens. (2021)
Keyphrases
- subspace learning
- conditional random fields
- hyperspectral image classification
- active learning
- hyperspectral
- hyperspectral images
- crf model
- dimensionality reduction
- graphical models
- semi supervised
- generative model
- probabilistic model
- manifold learning
- hidden markov models
- higher order
- information extraction
- low dimensional
- sparse representation
- principal component analysis
- pairwise
- sparse coding
- data representation
- markov random field
- face recognition
- high dimensional
- high dimensional data
- learning algorithm
- superpixels
- segmentation method
- data analysis
- bayesian networks
- feature extraction
- remote sensing
- computer vision