Locality-preserving discriminant analysis and Gaussian mixture models for spectral-spatial classification of hyperspectral imagery.
Zhen YeSaurabh PrasadWei LiJames E. FowlerMingyi HePublished in: WHISPERS (2012)
Keyphrases
- discriminant analysis
- hyperspectral imagery
- gaussian mixture model
- locality preserving
- dimensionality reduction methods
- hyperspectral images
- feature extraction
- feature vectors
- face recognition
- linear discriminant analysis
- hyperspectral
- locality preserving projections
- feature space
- principal component analysis
- multispectral
- high dimensional feature space
- kernel trick
- mixture model
- remote sensing
- decision trees
- target detection
- machine learning
- image classification
- expectation maximization
- support vector machine svm
- spatial information
- support vector machine
- text classification
- covariance matrices
- manifold learning
- pattern recognition
- support vector
- dimension reduction
- training data
- high resolution
- probabilistic model
- image data
- dimensionality reduction
- maximum likelihood
- class labels
- em algorithm