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Comparison of resampling methods on different remote sensing images for Vietnam’s urban classification

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Remotely-sensed data for urban classification is very diverse in data type, acquisition time, and spatial resolution. Therefore, preprocessing is needed for input data, in which the spatial resolution must be changed by different resampling methods. However, data transformations during resampling have many effects on classification results. In this research, resampling methods were evaluated. | Comparison of resampling methods on different remote sensing images for Vietnam’s urban classification

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