Registration of high-dimensional remote sensing data based on a new dimensionality reduction rule.
Min XuHao ChenPramod K. VarshneyPublished in: ICIP (2009)
Keyphrases
- remote sensing data
- dimensionality reduction
- high dimensional
- remote sensing
- low dimensional
- high dimensional data
- high dimensionality
- multispectral
- remote sensing images
- image registration
- data points
- pattern recognition
- manifold learning
- principal component analysis
- land cover
- feature space
- high dimensional spaces
- earth observation
- change detection
- principal components
- unsupervised learning
- remotely sensed data
- linear discriminant analysis
- hyperspectral
- feature selection
- graph embedding
- low dimensional spaces
- dimension reduction
- similarity search
- random projections
- nearest neighbor
- land cover classification
- image pairs
- kernel pca
- locally linear embedding
- feature extraction
- hyperspectral images
- multi dimensional
- image data
- embedding space
- image analysis
- neural network