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Found 3 papers, 2 papers with code
Explaining Multimodal Data Fusion: Occlusion Analysis for Wilderness Mapping
Jointly harnessing complementary features of multi-modal input data in a common latent space has been found to be beneficial long ago.
MapInWild: A Remote Sensing Dataset to Address the Question What Makes Nature Wild
Antrophonegic pressure (i. e. human influence) on the environment is one of the largest causes of the loss of biological diversity.
A Multi-Task Deep Learning Framework for Building Footprint Segmentation
The task of building footprint segmentation has been well-studied in the context of remote sensing (RS) as it provides valuable information in many aspects, however, difficulties brought by the nature of RS images such as variations in the spatial arrangements and in-consistent constructional patterns require studying further, since it often causes poorly classified segmentation maps.
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