Unsupervised Discriminative Dimension Reduction for Hyperspectral Chemical Plume Segmentation.
James M. MurphyMauro MaggioniPublished in: IGARSS (2019)
Keyphrases
- dimension reduction
- hyperspectral
- pixel classification
- unsupervised learning
- discriminative information
- feature extraction
- remote sensing
- hyperspectral images
- random projections
- hyperspectral data
- semi supervised
- multispectral
- infrared
- principal component analysis
- hyperspectral imagery
- high dimensional
- low dimensional
- target detection
- linear discriminant analysis
- image data
- feature selection
- high dimensional data
- image analysis
- image segmentation
- supervised learning
- partial least squares
- singular value decomposition
- satellite images
- high dimensionality
- hyperspectral remote sensing
- information content
- dimensionality reduction
- cluster analysis
- feature space
- preprocessing
- change detection
- image processing
- active learning
- learning algorithm
- model selection
- discriminant analysis
- data analysis
- video sequences
- face recognition
- principle component analysis