Randomized nonlinear component analysis for dimensionality reduction of hyperspectral images.
Bharath Bhushan DamodaranNicolas CourtyRomain TavenardPublished in: IGARSS (2017)
Keyphrases
- component analysis
- hyperspectral images
- linear dimensionality reduction
- dimensionality reduction
- kernel pca
- hyperspectral
- linear transform
- hyperspectral imagery
- factor analysis
- hyperspectral data
- remote sensing
- multispectral
- subspace projection
- blind source separation
- low dimensional
- target detection
- random projections
- machine learning
- feature selection
- spatial resolution
- satellite images
- subspace learning
- manifold learning
- change detection
- high dimensional
- feature extraction
- image processing
- neural network