Metric learning for hyperspectral image segmentation.
Brian D. BueDavid R. ThompsonMartha S. GilmoreRebecca CastañoPublished in: WHISPERS (2011)
Keyphrases
- hyperspectral
- metric learning
- image segmentation
- remote sensing
- hyperspectral images
- multispectral
- distance metric
- infrared
- hyperspectral data
- pairwise
- learning tasks
- semi supervised
- dimensionality reduction
- image data
- hyperspectral imagery
- image analysis
- markov random field
- satellite images
- distance function
- multi task
- information content
- feature space
- image processing
- semi supervised learning
- graph cuts
- expectation maximization
- computer vision
- neural network
- kernel function
- learning problems
- image features
- data points
- active learning
- random projections
- pattern recognition
- decision trees