Dr. Rodolphe Marion Profile

Dr. Rodolphe Marion

at Commissariat a l'Energie Atomique

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Author

Publications (5)

Proceedings Article | 12 April 2021 Presentation + Paper

Identification of minerals from hyperspectral imaging based on a fuzzy logic approach

Ronan Rialland, Véronique Carrère, Rodolphe Marion, Charles Soussen

Proceedings Volume 11727, 117270P (2021) https://doi.org/10.1117/12.2587600

KEYWORDS: Minerals, Fuzzy logic, Hyperspectral imaging, Spatial resolution, Sensors, Absorption, Vegetation, Soil science, Satellites, Satellite imaging

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Proceedings Article | 1 November 2012 Paper

Estimation of aerosol type from airborne hyperspectral data: a new technique designed for industrial plume characterization

A. Deschamps, R. Marion, P.-Y. Foucher, X. Briottet

Proceedings Volume 8534, 85340I (2012) https://doi.org/10.1117/12.970616

KEYWORDS: Aerosols, Atmospheric particles, Atmospheric modeling, Reflectivity, Radiative transfer, Scattering, Combustion, Algorithm development, Transmittance, Computer simulations

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Proceedings Article | 7 May 2007 Paper

A theoretical framework for hyperspectral anomaly detection using spectral and spatial a priori information

Brice Yver, Rodolphe Marion

Proceedings Volume 6565, 656507 (2007) https://doi.org/10.1117/12.718601

KEYWORDS: Target detection, Vegetation, Hyperspectral target detection, Hyperspectral imaging, Detection and tracking algorithms, Binary data, Hyperspectral simulation, Sensors, Computer simulations, Optical filters

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Proceedings Article | 11 October 2006 Paper

Hyperspectral remote sensing of biomass burning aerosol plumes: sensitivity to optical properties modeling

Alexandre Alakian, Rodolphe Marion, Xavier Briottet

Proceedings Volume 6362, 63620D (2006) https://doi.org/10.1117/12.688747

KEYWORDS: Atmospheric modeling, Optical properties, Aerosols, Reflectivity, Particles, Atmospheric particles, Combustion, Sensors, Remote sensing, Mie scattering

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Proceedings Article | 1 November 2005 Paper

Atmospheric correction of hyperspectral data over dark surfaces via simulated annealing

Rodolphe Marion, Rémi Michel, Christian Faye

Proceedings Volume 5979, 59791T (2005) https://doi.org/10.1117/12.622685

KEYWORDS: Reflectivity, Absorption, Signal to noise ratio, Atmospheric corrections, Algorithms, Sensors, Atmospheric modeling, Transmittance, Data corrections, Databases

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