The effect of classifier agreement on the accuracy of the combined classifier in decision level fusion

@article{Petrakos2001TheEO,
  title={The effect of classifier agreement on the accuracy of the combined classifier in decision level fusion},
  author={Michalis Petrakos and J{\'o}n Atli Benediktsson and Ioannis Kanellopoulos},
  journal={IEEE Trans. Geosci. Remote. Sens.},
  year={2001},
  volume={39},
  pages={2539-2546},
  url={https://api.semanticscholar.org/CorpusID:7999909}
}
The level of agreement between different classifiers used in remote sensing is assessed based on statistical measures and the increase of accuracy is observed for each combination of the individual classifications.
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