Assessment of a Modified Version of the EM Algorithm for Remote Sensing Data Classification.
Thales Sehn KörtingLuciano Vieira DutraGuaraci J. ErthalLeila Maria Garcia FonsecaPublished in: CIARP (2010)
Keyphrases
- em algorithm
- remote sensing data
- expectation maximization
- maximum likelihood
- mixture model
- density estimation
- generative model
- maximum likelihood estimation
- parameter estimation
- likelihood function
- gaussian mixture model
- pattern recognition
- decision trees
- multispectral
- gaussian mixture
- unsupervised learning
- log likelihood
- model selection
- incomplete data
- penalized likelihood
- hyperspectral images
- remotely sensed data
- estimate the model parameters
- maximum a posteriori
- probability density function
- support vector
- remote sensing
- text classification
- image classification
- feature vectors
- machine learning
- finite mixture models
- expectation maximisation
- mixture modeling
- feature space
- model based clustering
- supervised learning
- class labels
- remote sensing images
- image reconstruction