A GAN generates synthetic built-up pixels that, when added to a tiny training set, raise an ANN classifier's accuracy and kappa on Landsat7 imagery.
Deep gen- erative models: Survey,
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Application of Generative Adversarial Network (GAN) for Synthetic Training Data Creation to improve performance of ANN Classifier for extracting Built-Up pixels from Landsat Satellite Imagery
A GAN generates synthetic built-up pixels that, when added to a tiny training set, raise an ANN classifier's accuracy and kappa on Landsat7 imagery.