Active Manifold Learning for Hyperspectral Image Classification.
Zhou ZhangGülsen Taskin KayaMelba M. CrawfordPublished in: IGARSS (2018)
Keyphrases
- manifold learning
- hyperspectral image classification
- active learning
- dimensionality reduction
- semi supervised
- low dimensional
- nonlinear dimensionality reduction
- hyperspectral images
- hyperspectral
- diffusion maps
- high dimensional data
- high dimensional
- dimension reduction
- feature space
- sparse representation
- remote sensing
- feature extraction
- data points
- machine learning
- input space
- data analysis
- low dimensional manifolds
- e learning
- learning algorithm