Stochastic modeling of image content in remote sensing image archives |
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algorithms approach auto-binomial model AutoClass Bayes Bayesian classification Bayesian inference Bayesian network calculate chapter characteristic characteristic classes clique clustering by melting complexity computer vision conditional least squares content-based query cover-type labels cross-entropy data points database dataset defined denote depicted in Fig describe dissertation energy function entropy ETHZ example Gabor filters Gaussian Geman Gibbs random fields given GLCM hierarchical hyper-parameters image archive image classification image content image data information extraction interactive K-means Landsat Landsat TM likelihood Markov random field matrix maximum a posteriori minimum description length MMDEMO model selection number of clusters obtain optimum parameter estimation parameter space parameter vector parametric modeling particular pixel pixel values posterior map posterior probability prior prior probability random field models Rehrauer remote sensing image robust semantic sensor signal classes signal models spatial spectral stochastic modeling techniques texture features texture model tion training regions un-supervised clustering user interests vocabulary X-SAR