5 citations · 6 across the 3 of their papers we have counts for
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cs.CV2024★ 1 cited
Mapping Land Naturalness from Sentinel-2 using Deep Contextual and Geographical Priors
Burak Ekim, Michael Schmitt
In recent decades, the causes and consequences of climate change have accelerated, affecting our planet on an unprecedented scale. This change is closely tied to the ways in which…
cs.CV2023★ 5 cited
UnCRtainTS: Uncertainty Quantification for Cloud Removal in Optical Satellite Time Series
Patrick Ebel, Vivien Sainte Fare Garnot, Michael Schmitt +2
Clouds and haze often occlude optical satellite images, hindering continuous, dense monitoring of the Earth's surface. Although modern deep learning methods can implicitly learn to…
cs.CV2023
Explaining Multimodal Data Fusion: Occlusion Analysis for Wilderness Mapping
Burak Ekim, Michael Schmitt
Jointly harnessing complementary features of multi-modal input data in a common latent space has been found to be beneficial long ago. However, the influence of each modality on th…