Zobrazeno 1 - 10 of 18 pro vyhledávání: '"Lopez Radcenco, Manuel"'
1
Report
SRoll3: A neural network approach to reduce large-scale systematic effects in the Planck High Frequency Instrument maps
Autor: López-Radcenco, Manuel, Delouis, Jean-Marc, Vibert, Laurent
Publikováno v: A&A 651, A65 (2021)
In the present work, we propose a neural network based data inversion approach to reduce structured contamination sources, with a particular focus on the mapmaking for Planck High Frequency Instrument (Planck-HFI) data and the removal of large-scale
Externí odkaz: http://arxiv.org/abs/2012.09702
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2
Dissertation/ Thesis
Data-driven approaches for ocean remote sensing : from the non-negative decomposition of operators to the reconstruction of satellite-derived sea surface dynamics
Autor: Lopez Radcenco, Manuel
Au cours des dernières années, la disponibilité toujours croissante de données de télédétection multi-source de l'océan a été un facteur clé pour améliorer notre compréhension des dynamiques de la surface de l'océan. A cet égard, il es
Externí odkaz: http://www.theses.fr/2018IMTA0107/document
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3
Report
Locally-adapted convolution-based super-resolution of irregularly-sampled ocean remote sensing data
Autor: López-Radcenco, Manuel, Fablet, Ronan, Aïssa-El-Bey, Abdeldjalil, Ailliot, Pierre
Super-resolution is a classical problem in image processing, with numerous applications to remote sensing image enhancement. Here, we address the super-resolution of irregularly-sampled remote sensing images. Using an optimal interpolation as the low
Externí odkaz: http://arxiv.org/abs/1704.02162
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5
Approches pilotées par les données pour la télédétection océanique : de la décomposition non négative d'opérateurs à la reconstruction des dynamiques de la surface de l'océan à partir de données satellitaires
Autor: Lopez Radcenco, Manuel
Publikováno v: Signal and Image processing. Ecole nationale supérieure Mines-Télécom Atlantique, 2018. English. ⟨NNT : 2018IMTA0107⟩
In the last few decades, the ever-growing availability of multi-source ocean remote sensing data has been a key factor for improving our understanding of upper ocean dynamics. In this regard, developing efficient approaches to exploit these datasets
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______2592::3340d52af6e2267e20802410e10ec18f
https://tel.archives-ouvertes.fr/tel-02083495
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6
Can SWOT Improve the Reconstruction of Sea Level Anomaly Fields? Insights for Data-driven Approaches in the Western Mediterranean Sea
Autor: Lopez Radcenco, Manuel, Pascual, Ananda, Gomez-Navarro, Laura, Aissa El Bey, Abdeldjalil, Chapron, Bertrand, Fablet, Ronan
Current generation satellite altimetry missions have played a fundamental role in improving our understanding of sea surface dynamics, despite only being able to provide measurements along the satellite track. In this respect, the future SWOT altimet
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::7570dc4efd5ba8480ee6885cf4e38078
https://hal.science/hal-01891689/file/article_jstars_igarss_2018_preprint.pdf
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7
Non-negative Observation-based Decomposition of Operators
Autor: Lopez Radcenco, Manuel, Fablet, Ronan, Aissa El Bey, Abdeldjalil
The problem of observation-based characterization of operators, closely related to the well-studied problem of blind source separation, remains nonetheless considerably less studied. Inspired by the recent success of non-negative and sparse blind sou
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::2a4f7f3afc81fbdfc73ec47dedda6b8a
https://hal.archives-ouvertes.fr/hal-01891692/document
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8
Analog data assimilation of along-track nadir and SWOT altimetry observations in the Western Mediterranean Sea
Autor: Lopez Radcenco, Manuel, Pascual, Ananda, Gomez-Navarro, Laura, Aissa El Bey, Abdeldjalil, Fablet, Ronan
Publikováno v: European Geosciences Union (EGU) General Assembly
European Geosciences Union (EGU) General Assembly, Apr 2018, Vienne, Austria
International audience; The growing availability of ocean data brought forth by recent advancements in remote sensing, in situ measurements and numerical models supports the development of data-driven strategies as a powerful, computationally-efficie
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::6d1633745ef402f2459225a2adae820d
https://hal.archives-ouvertes.fr/hal-01739799
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9
Akademický článek
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10
Non-negative Decomposition of Sea Surface Dynamics from Multi-source Ocean Remote Sensing Data
Autor: Lopez Radcenco, Manuel, Aissa El Bey, Abdeldjalil, Ailliot, Pierre, Tandeo, Pierre, Fablet, Ronan
Publikováno v: ACO 2016 : A connected ocean: new approaches, new technologies, new challenges for knowledge of ocean processes
ACO 2016 : A connected ocean: new approaches, new technologies, new challenges for knowledge of ocean processes, Oct 2016, Brest, France
ACO 2016 : A connected ocean: new approaches, new technologies, new challenges for knowledge of ocean processes, Oct 2016, Brest, France. 52, 2016
International audience; The growing availability of multi-source ocean remote sensing data is a key factor for improving our understanding of upper ocean dynamics, ocean circulation and atmospheric-ocean interactions. Following an ongoing body of wor
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::b99e20779a76eae9bced3b675c80860d
https://hal.archives-ouvertes.fr/hal-01611018
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