title: 3-D contextual Bayesian classifiers.
abstract: We extend a series of multivariate Bayesian two-dimensional (2-D) contextual classifiers to three-dimensional (3-D) by specifying a simultaneous Gaussian distribution for the feature vectors as well as a prior distribution of the class variables of a pixel and its six nearest 3-D neighbors.
authors.affiliation: Department of Mathematical Modelling, Technical University of Denmark, DK-2800 Lyngby, Denmark. rl@imm.dtu.dk
authors.forename: R
authors.initials: R
authors.lastname: Larsen