A quantitative and comparative analysis of linear and nonlinear spectral mixture models using radial basis function neural networks.
Kerri J. GuilfoyleMark L. G. AlthouseChein-I ChangPublished in: IEEE Trans. Geosci. Remote. Sens. (2001)
Keyphrases
- comparative analysis
- mixture model
- radial basis function neural network
- pattern classification
- rbfnn
- gaussian mixture model
- em algorithm
- unsupervised learning
- radial basis function
- generative model
- probabilistic model
- model selection
- maximum likelihood
- back propagation
- expectation maximization
- rbf neural network
- multilayer perceptron
- language model
- rbf network
- function approximation
- neural network
- hidden layer
- generalization ability
- machine learning
- image segmentation
- face recognition
- artificial neural networks
- image processing
- data sets