Improved Gaussian mixture model with expectation-maximization for clustering of remote sensing imagery.
Victor-Emil NeagoeVlad Chirila-BerbenteaPublished in: IGARSS (2016)
Keyphrases
- gaussian mixture model
- expectation maximization
- remote sensing imagery
- em algorithm
- k means
- mixture model
- unsupervised learning
- remote sensing
- model based clustering
- change detection
- maximum likelihood
- gaussian mixture
- bayesian information criterion
- clustering algorithm
- finite mixture models
- probabilistic model
- parameter estimation
- wavelet transformation
- remote sensing data
- feature vectors
- mixture of gaussians
- generative model
- land cover
- feature space
- language model
- data points
- prior knowledge
- model selection
- high resolution
- image segmentation
- information retrieval