Corpus ID: 10780082

Combining Non-Parametric based models for multisource predictive forest mapping

@inproceedings{Huang2001CombiningNB,
  title={Combining Non-Parametric based models for multisource predictive forest mapping},
  author={Zhi Huang},
  year={2001}
}
  • Zhi Huang
  • Published 2001
  • Using a single model for forest type predictive mapping will not produce good estimates of confidence in the prediction of individual pixels, even with good overall accuracy. A new strategy which combines several models based on different philosophy could not only reduce the uncertainty of predictive modelling, but also improve the mapping accuracy. In our study, a Artificial Neural Networks, a Decision Trees, and a model of Dempster-Shafer’s Evidence Theory were individually applied to a… CONTINUE READING

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