Mixtures of Factor Analyzers and Deep Mixtures of Factor Analyzers Dimensionality Reduction Algorithms For Hyperspectral Images Classification.
Bin ZhaoMagnus O. UlfarssonJohannes R. SveinssonJocelyn ChanussotPublished in: IGARSS (2019)
Keyphrases
- factor analyzers
- low dimensional
- hyperspectral images
- dimensionality reduction
- hyperspectral data
- dimensionality reduction methods
- pattern recognition
- high dimensional
- hyperspectral
- high dimensional data
- feature space
- feature selection
- feature extraction
- computational cost
- dimension reduction
- image data
- hyperspectral image classification
- image processing
- feature set
- principal components
- high dimensionality
- infrared
- machine learning
- image analysis
- computer vision