Kent mixture model for classification of remote sensing data on spherical manifolds.
Dalton D. LungaOkan K. ErsoyPublished in: AIPR (2011)
Keyphrases
- mixture model
- remote sensing data
- density estimation
- model selection
- unsupervised classification
- gaussian mixture model
- unsupervised learning
- em algorithm
- probabilistic model
- generative model
- von mises fisher
- feature space
- language model
- remote sensing
- decision trees
- maximum likelihood
- expectation maximization
- mixture modeling
- machine learning
- probability density function
- image classification
- pattern recognition
- discriminative learning
- land cover
- feature extraction
- unit sphere
- remotely sensed data
- multi variate
- probabilistic mixture model
- supervised classification
- gaussian mixture
- class labels
- semi supervised learning
- active learning