Sparsity promoting dimensionality reduction for classification of high dimensional hyperspectral images.
Minshan CuiSaurabh PrasadPublished in: ICASSP (2013)
Keyphrases
- hyperspectral images
- high dimensional
- dimensionality reduction
- high dimensionality
- hyperspectral data
- low dimensional
- hyperspectral
- feature space
- random projections
- high dimensional data
- dimensionality reduction methods
- dimension reduction
- hyperspectral imagery
- hyperspectral image classification
- feature extraction
- pattern recognition
- remote sensing
- similarity search
- feature selection
- data points
- sparse representation
- support vector machine
- multispectral
- principal component analysis
- input space
- spectral bands
- machine learning
- active learning
- lower dimensional
- feature vectors
- support vector
- linear discriminant analysis
- nearest neighbor
- image classification
- pixel classification
- neural network