Active Landmark Sampling for Manifold Learning Based Spectral Unmixing.
Junhwa ChiMelba M. CrawfordPublished in: IEEE Geosci. Remote. Sens. Lett. (2014)
Keyphrases
- manifold learning
- hyperspectral
- hyperspectral images
- hyperspectral data
- low dimensional
- dimensionality reduction
- nonlinear dimensionality reduction
- semi supervised
- subspace learning
- high dimensional
- diffusion maps
- laplacian eigenmaps
- hyperspectral imagery
- dimension reduction
- high dimensional data
- feature extraction
- manifold structure
- remote sensing
- locally linear embedding
- head pose estimation
- spectral analysis
- nonlinear manifold
- random sampling
- multispectral
- sparse representation
- pattern recognition
- blind source separation
- riemannian manifolds
- independent component analysis
- non stationary
- active learning
- feature space
- low dimensional manifolds
- image processing
- manifold embedding
- machine learning