MOP2.PJ.7
Adaptive Federated Learning for Ship Detection on Multi-Source Satellite Imagery
Tran-Vu La, EarthLab, Luxembourg; Yu Li, Thanh-Huy Nguyen, Patrick Matgen, Marco Chini, Luxembourg Institute of Science and Technology, Luxembourg
Session:
MOP2.PJ: Earth Observation for Civil Security Poster
Track:
Community Contributed Themes
Location:
Columbia, Poster Area J
Presentation Time:
Monday, 10 August, 15:00 - 16:15
Session Co-Chairs:
Sergio Albani, European Union Satellite Centre and Marco Chini, Luxembourg Institute of Science and Technology (LIST)
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Session MOP2.PJ
MOP2.PJ.1: Space-to-Seabed Maritime Infrastructure Surveillance with SAR, AIS, and DAS
Kristian Aalling Sørensen, Hasse Bülow Pedersen, Lucas Orellana, Henning Heiselberg, Technical University of Denmark, Denmark
MOP2.PJ.2: Geographically aware AIS trajectory forecasting with curriculum learning
Freja Berth, Mathias Povelsen, Idil Turasi, Jesus Nevarro, Peder Heiselberg, Technical University of Denmark, Denmark
MOP2.PJ.3: architectures for discretized vessel trajectory prediction in resource-constrained settings
Andrea Sanvito, Antonio Riverso, Daniil Losev, Peder Heiselberg, Technical University of Denmark, Denmark
MOP2.PJ.4: CRHT: a continuous regression hybrid transformer for vessel trajectory prediction with online cluster sampling
Alexander Schiøtz, Bertram Hage, Christian Rand, Felix Thomsen, Peder Heiselberg, Technical University of Denmark, Denmark
MOP2.PJ.5: FROM SHIP WAKES TO PSEUDO-AIS: DARK VESSEL DETECTION WITH SENTINEL-1 AND SENTINEL-2
Angela Carmen Cristofano, Andrea Mazzeo, Maria Daniela Graziano, Alfredo Renga, University of Naples Federico II, Italy; Giuliano Vernengo, University of Genoa, Italy; Davide Bonaldo, Consiglio Nazionale delle Ricerche, Italy; Diego Villa, Nicola Petacco, University of Genoa, Italy; Gian Marco Scarpa, Federica Braga, Paolo Vavasori, Stefano Menegon, Consiglio Nazionale delle Ricerche, Italy
MOP2.PJ.6: NASA’s Land, Atmosphere Near real-time Capability for Earth observation – bridging data systems and society today and into the future
Jenny Hewson, Diane Davies, NASA, United States
MOP2.PJ.7: Adaptive Federated Learning for Ship Detection on Multi-Source Satellite Imagery
Tran-Vu La, EarthLab, Luxembourg; Yu Li, Thanh-Huy Nguyen, Patrick Matgen, Marco Chini, Luxembourg Institute of Science and Technology, Luxembourg
Resources
No resources available.