A Markov random field-based approach to decision-level fusion for remote sensing image classification

@article{Nishii2003AMR,
  title={A Markov random field-based approach to decision-level fusion for remote sensing image classification},
  author={Ryuei Nishii},
  journal={IEEE Trans. Geoscience and Remote Sensing},
  year={2003},
  volume={41},
  pages={2316-2319}
}
A method is proposed for the enhancement of the quality of a classification result by fusing this result with remote sensing images, based on a Markov random field approach. The classification accuracy is estimated by a modified posterior probability, which is used for choosing the optimal classification result. The procedure is applied to a benchmark dataset for discrimination provided by the IEEE Geoscience and Remote Sensing Society Data Fusion Committee, and it shows an excellent… CONTINUE READING
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