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Uncertainty in deep learning has recently received a lot of attention in research. While stateof- the-art neural networks have managed to break many benchmarks in terms of accuracy, it has been shown that by applying minor perturbations to the input data, ...
Fusion of very high spatial resolution multispectral (VHR) images and lower spatial resolution image time series with more spectral bands can improve land cover classification, combining geometric and semantic advantages of both sources. This study present ...