Image Augmentation for Satellite Images. (arXiv:2207.14580v1 [cs.CV])

This study proposes the use of generative models (GANs) for augmenting the
EuroSAT dataset for the Land Use and Land Cover (LULC) Classification task. We
used DCGAN and WGAN-GP to generate images for each class in the dataset. We
then explored the effect of augmenting the original dataset by about 10% in
each case on model performance. The choice of GAN architecture seems to have no
apparent effect on the model performance. However, a combination of geometric
augmentation and GAN-generated …

arxiv augmentation cv image images satellite satellite images