5 citations · 7 across the 6 of their papers we have counts for
4 papers · 1 filter
Conditional Progressive Generative Adversarial Network for satellite image generation
Renato Cardoso, Sofia Vallecorsa, Edoardo Nemni
Image generation and image completion are rapidly evolving fields, thanks to machine learning algorithms that are able to realistically replace missing pixels. However, generating…
SAR-based landslide classification pretraining leads to better segmentation
Vanessa Böhm, Wei Ji Leong, Ragini Bal Mahesh +5
Rapid assessment after a natural disaster is key for prioritizing emergency resources. In the case of landslides, rapid assessment involves determining the extent of the area affec…
Dual-Tasks Siamese Transformer Framework for Building Damage Assessment
Hongruixuan Chen, Edoardo Nemni, Sofia Vallecorsa +3
Accurate and fine-grained information about the extent of damage to buildings is essential for humanitarian relief and disaster response. However, as the most commonly used archite…
PulseSatellite: A tool using human-AI feedback loops for satellite image analysis in humanitarian contexts
Tomaz Logar, Joseph Bullock, Edoardo Nemni +3
Humanitarian response to natural disasters and conflicts can be assisted by satellite image analysis. In a humanitarian context, very specific satellite image analysis tasks must b…