Superpixel-based classification of hyperspectral data using sparse representation and conditional random fields.
Ribana RoscherBjörn WaskePublished in: IGARSS (2014)
Keyphrases
- hyperspectral data
- sparse representation
- random projections
- conditional random fields
- dictionary learning
- hyperspectral images
- image classification
- hyperspectral
- probabilistic model
- superpixels
- hyperspectral imagery
- graphical models
- face recognition
- information extraction
- higher order
- hidden markov models
- dimensionality reduction
- image patches
- image representation
- markov random field
- generative model
- remote sensing
- multispectral
- signal processing
- dimension reduction
- pattern recognition
- image reconstruction
- high dimensionality
- principal components
- feature extraction
- learning algorithm
- machine learning
- feature selection
- feature space
- pairwise
- principal component analysis
- svm classifier
- high dimensional data