Unpublished conference/Abstract (Scientific congresses, symposiums and conference proceedings)
Satellite Image Mosaic Combination Problem
COMBARRO SIMON, Manuel; DANOY, Grégoire; MUSIAL, Jedrzej et al.
2023International Conference on Optimization and Learning
Peer reviewed
 

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Keywords :
satellite images; combinatorial optimisation; geometric weighted set cover
Research center :
ULHPC - University of Luxembourg: High Performance Computing
Disciplines :
Computer science
Author, co-author :
COMBARRO SIMON, Manuel   ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > PCOG
DANOY, Grégoire  ;  University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Computer Science (DCS)
MUSIAL, Jedrzej ;  University of Luxembourg ; Poznan University of Technology
Tchernykh, Andrei;  Centro de Investigación Científica y de Educación Superior de Ensenada > Computer Science Department
ALSWAITTI, Mohammed ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > PCOG
PECERO SANCHEZ, Johnatan Eliabeth ;  University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Computer Science (DCS)
BOUVRY, Pascal ;  University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Computer Science (DCS)
 These authors have contributed equally to this work.
External co-authors :
yes
Language :
English
Title :
Satellite Image Mosaic Combination Problem
Publication date :
2023
Number of pages :
3
Event name :
International Conference on Optimization and Learning
Event place :
Malaga, Spain
Event date :
from 03-05-2023 to 05-05-2023
Audience :
International
Peer reviewed :
Peer reviewed
Focus Area :
Computational Sciences
Development Goals :
9. Industry, innovation and infrastructure
FnR Project :
FNR17043604 - A Satellite Data Marketplace Model With Data Lake Storage, 2022 (01/03/2022-31/10/2025) - Manuel Combarro Simon
Funders :
FNR - Fonds National de la Recherche [LU]
Funding number :
17043604
Available on ORBilu :
since 05 January 2024

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