Gaussian mixture classifier with regularized covariance estimator for hyperspectral data classification.
Bor-Chen KuoJinn-Min YangDavid A. LandgrebePublished in: IGARSS (2003)
Keyphrases
- hyperspectral data
- gaussian mixture
- hyperspectral
- hyperspectral images
- hyperspectral imagery
- support vector
- class labels
- remote sensing
- covariance matrix
- random projections
- feature space
- support vector machine
- svm classifier
- multispectral
- feature selection
- decision trees
- feature extraction
- feature set
- infrared
- gaussian mixture model
- least squares
- machine learning
- density estimation
- em algorithm
- image classification
- supervised learning
- feature vectors
- expectation maximization
- closed form
- data compression
- training set
- data sets
- image processing
- image segmentation
- training data
- target detection
- pattern recognition
- data streams
- principal components
- image analysis
- principal component analysis
- maximum likelihood
- unsupervised learning
- model selection