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ACKNOWLEDGEMENTS
This study was financially supported by a NSERC discovery
grant that was awarded to Prof. Dr. Jonathan Li at the
University of Waterloo.
39 Features
48 Features
Kappa = 0.551 Kappa =0.565
36 Features | 30 Features
Kappa =0.573 _ Kappa =0.689
26 : Features 22
Abe
b | a
a =0.681
Kappa =0.756
Kapp
15 Features
Kappa =(.726
Figure 5. the Maximum Likelihood classification results based on feature selection of Random Forests
