Spectral-Spatial Hyperspectral Image Classification Using Cascaded Markov Random Fields.
Xianghai CaoXiaozhen WangDa WangJing ZhaoLicheng JiaoPublished in: IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. (2019)
Keyphrases
- markov random field
- hyperspectral image classification
- hyperspectral
- hyperspectral images
- active learning
- graph cuts
- parameter estimation
- higher order
- random fields
- energy function
- maximum a posteriori
- belief propagation
- image restoration
- hyperspectral imagery
- energy minimization
- hyperspectral data
- mrf model
- image segmentation
- potential functions
- low level vision
- spatial information
- conditional random fields
- pairwise
- map inference
- remote sensing
- multispectral
- potts model
- loopy belief propagation
- piecewise constant functions
- computer vision
- map estimation
- face detection
- image data
- object recognition
- machine learning
- markov networks
- spatial resolution
- bayesian framework
- infrared
- graphical models
- training data