GeoMultiTaskNet: remote sensing unsupervised domain adaptation using geographical coordinates

Land cover maps are a pivotal element in a wide range of Earth Observation (EO) applications. However, annotating large datasets to develop supervised systems for remote sensing (RS) semantic segmentation is costly and time-consuming. Unsupervised Domain Adaptation (UDA) could tackle these issues by adapting a model trained on a source domain, where labels are available, to a target domain, without annotations.