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- He, J., et al. Show all 4 Authors
- International journal of remote sensing 2015 v.36 no.8 pp. 2252-2276
- neural networks; remote sensing; support vector machines; Arctic region; Canada
- ... To map Arctic lithology in central Victoria Island, Canada, the relative performance of advanced classifiers (Neural Network (NN), Support Vector Machine (SVM), and Random Forest (RF)) were compared to Maximum Likelihood Classifier (MLC) results using Landsat-7 and Landsat-8 imagery. A ten-repetition cross-validation classification approach was applied. Classification performance was evaluated vis ...