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Robust Multispectral data analysis for target detection and IDentification

Ispectral data analysis for target detection and ID. MultID is a scientific project financed by the ANR and DGA as part of the ASTRID ANR projects. The aim of this project is to design, study and apply multispectral data analysis tools on the context of surveillance imaging to tackle the problem of robust target detection and identification. 1 - Design and study fully supervised source separation techniques to decompose multispectral data in large-scale spectral dictionaries.

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Robust Multispectral data analysis for target detection and IDentification | multid.cosmostat.org Reviews
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Ispectral data analysis for target detection and ID. MultID is a scientific project financed by the ANR and DGA as part of the ASTRID ANR projects. The aim of this project is to design, study and apply multispectral data analysis tools on the context of surveillance imaging to tackle the problem of robust target detection and identification. 1 - Design and study fully supervised source separation techniques to decompose multispectral data in large-scale spectral dictionaries.
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Robust Multispectral data analysis for target detection and IDentification | multid.cosmostat.org Reviews

https://multid.cosmostat.org

Ispectral data analysis for target detection and ID. MultID is a scientific project financed by the ANR and DGA as part of the ASTRID ANR projects. The aim of this project is to design, study and apply multispectral data analysis tools on the context of surveillance imaging to tackle the problem of robust target detection and identification. 1 - Design and study fully supervised source separation techniques to decompose multispectral data in large-scale spectral dictionaries.

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cosmostat.org cosmostat.org

Projects | CosmoStat

http://www.cosmostat.org/project

An AIM laboratory @CEA Saclay. Joint Planck PR1 WMAP CMB Map. Joint Planck PR2 WMAP CMB map. Galaxy colour component separation. PSF estimation and images restoration. Jean-Luc Starck, Head of CosmoStat. Jerome Bobin, co-head of CosmoStat. Sparse BSS with GMCALab. Non-negative matrix factorization with nGMCA. WMAP9 Point Source Free Map. Euclid CEA - IAP meetings. Euclid WL 2p-stat meeting. Machine learning day at SAp. RAS discussion meeting on Cosmology with Maps. How to get to SAp. Develop tools for an...

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Robust Multispectral data analysis for target detection and IDentification

Ispectral data analysis for target detection and ID. MultID is a scientific project financed by the ANR and DGA as part of the ASTRID ANR projects. The aim of this project is to design, study and apply multispectral data analysis tools on the context of surveillance imaging to tackle the problem of robust target detection and identification. 1 - Design and study fully supervised source separation techniques to decompose multispectral data in large-scale spectral dictionaries.

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