Bayesian filtering and supervised classification in image remote sensing

DOI10.1016/0167-9473(95)91132-AzbMath0875.62198OpenAlexW1990422512MaRDI QIDQ672016

Vincent Granville, Jean-Paul Rasson

Publication date: 27 February 1997

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0167-9473(95)91132-a

zbMATH Keywords

Supervised classificationMarkov random fieldsFilteringICM algorithmImage remote sensing

Mathematics Subject Classification ID

Random fields (60G60) Nonparametric robustness (62G35) Computer graphics; computational geometry (digital and algorithmic aspects) (68U05) Inference from stochastic processes (62M99)

Related Items (1)

Discriminant analysis and density estimation on the finite d-dimensional grid

Cites Work

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• Density estimation on a finite regular lattice
• Parameter estimation for hidden Gibbs chains
• On consistency of a class of estimators for exponential families of Markov random fields on the lattice
• A new modelisation of noise in image remote sensing
• Clustering, classification and image segmentation on the grid
• A Bayesian filter for a mixture model of noise in image remote sensing
• Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images

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