Multispectral image context classification using stochastic relaxation

@article{Zhang1990MultispectralIC,
  title={Multispectral image context classification using stochastic relaxation},
  author={Mingchuan Zhang and Robert M. Haralick and James B. Campbell},
  journal={IEEE Trans. Systems, Man, and Cybernetics},
  year={1990},
  volume={20},
  pages={128-140}
}
A new multispectral image context classification, which is based on a stochastic relaxation algorithm and Markov-Gibbs random field, is presented. The implementation of the relaxation algorithm is related to a form of optimization programming using annealing. The authors motivate a Bayesian context decision rule, and a Markov-Gibbs model for the original… CONTINUE READING