Huang, Zhi; Lees, Brian G
Most models of forest type for predictive mapping cannot produce estimates of confidence in the prediction of individual pixels, even where they provide good overall accuracy. A new strategy that combines several models based on different principles not only provides estimates of prediction confidence, but also improves the mapping accuracy. In this study, the theoretical foundation of Artificial Neural Networks, Decision Trees, and Dempster-Shafer's Evidence Theory are briefly reviewed,...[Show more]
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