Spectral-Spatial Hyperspectral Image Classification Using Subspace-Based Support Vector Machines and Adaptive Markov Random Fields.
Haoyang YuLianru GaoJun LiShanshan LiBing ZhangJón Atli BenediktssonPublished in: Remote. Sens. (2016)
Keyphrases
- markov random field
- hyperspectral image classification
- spectral signatures
- hyperspectral
- hyperspectral images
- support vector
- belief propagation
- mrf model
- graph cuts
- higher order
- energy minimization
- active learning
- hyperspectral data
- hyperspectral imagery
- parameter estimation
- random fields
- image restoration
- image segmentation
- learning machines
- energy function
- low level vision
- remote sensing
- maximum a posteriori
- pairwise
- multispectral
- conditional random fields
- potential functions
- infrared
- image data
- low dimensional
- map inference
- piecewise constant functions
- spatial information
- kernel function
- dimensionality reduction
- support vector machine
- high dimensional
- target detection
- markov networks
- linear discriminant analysis
- graphical models
- feature space
- image processing