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The study investigated the performance of support vector machine (SVM) classifier for regional land cover mapping. First, 8 input features derived from MODIS time series and DEM data were selected by Jeffreys-Matusita distance. Then, all the features were analyzed to generate land cover map of Sanjiang Plain in China, using SVM algorithm. Finally, we evaluated the impact of sample size and its distribution...
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