Dr. Claire Malherbe Profile

Dr. Claire Malherbe

at ONERA

SPIE Involvement:

Author

Publications (16)

Proceedings Article | 24 October 2016 Presentation + Paper

Development of an atmospheric infrared radiation model with high clouds for target detection

Christophe Bellisario, Claire Malherbe, Caroline Schweitzer, Karin Stein

Proceedings Volume 9997, 99970R (2016) https://doi.org/10.1117/12.2241806

KEYWORDS: Atmospheric modeling, Infrared radiation, Clouds, Thermal modeling, 3D modeling, Scattering, Ceramics, Multiple scattering, Neodymium, Electro optical modeling

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In the field of target detection, the simulation of the camera FOV (field of view) background is a significant issue. The presence of heterogeneous clouds might have a strong impact on a target detection algorithm. In order to address this issue, we present here the construction of the CERAMIC package (Cloudy Environment for RAdiance and MIcrophysics Computation) that combines cloud microphysical computation and 3D radiance computation to produce a 3D atmospheric infrared radiance in attendance of clouds.

The input of CERAMIC starts with an observer with a spatial position and a defined FOV (by the mean of a zenithal angle and an azimuthal angle). We introduce a 3D cloud generator provided by the French LaMP for statistical and simplified physics. The cloud generator is implemented with atmospheric profiles including heterogeneity factor for 3D fluctuations. CERAMIC also includes a cloud database from the French CNRM for a physical approach. We present here some statistics developed about the spatial and time evolution of the clouds. Molecular optical properties are provided by the model MATISSE (Modélisation Avancée de la Terre pour l’Imagerie et la Simulation des Scènes et de leur Environnement).

The 3D radiance is computed with the model LUCI (for LUminance de CIrrus). It takes into account 3D microphysics with a resolution of 5 cm^-1 over a SWIR bandwidth. In order to have a fast computation time, most of the radiance contributors are calculated with analytical expressions. The multiple scattering phenomena are more difficult to model. Here a discrete ordinate method with correlated-K precision to compute the average radiance is used. We add a 3D fluctuations model (based on a behavioral model) taking into account microphysics variations. In fine, the following parameters are calculated: transmission, thermal radiance, single scattering radiance, radiance observed through the cloud and multiple scattering radiance.

Spatial images are produced, with a dimension of 10 km x 10 km and a resolution of 0.1 km with each contribution of the radiance separated. We present here the first results with examples of a typical scenarii. A 1D comparison in results is made with the use of the MATISSE model by separating each radiance calculated, in order to validate outputs. The code performance in 3D is shown by comparing LUCI to SHDOM model, referency code which uses the Spherical Harmonic Discrete Ordinate Method for 3D Atmospheric Radiative Transfer model. The results obtained by the different codes present a strong agreement and the sources of small differences are considered. An important gain in time is observed for LUCI versus SHDOM. We finally conclude on various scenarios for case analysis.

Proceedings Article | 21 October 2014 Paper

Fast rendering of clouds from 3D radiative transfer computations

Pierrick Bonafons, Patrick Chervet, Solène Amram, Goulven Monnier, Claire Malherbe, Arnaud Beche

Proceedings Volume 9242, 924204 (2014) https://doi.org/10.1117/12.2067146

KEYWORDS: Clouds, 3D modeling, Radiative transfer, Scattering, Spatial resolution, 3D acquisition, Adaptive optics, Optimization (mathematics), Atmospheric modeling, 3D image processing

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Proceedings Article | 17 October 2013 Paper

Validation of MATISSE background images and cloud simulations: comparing results with MODIS satellite images

Caroline Schweitzer, Claire Malherbe, Karin Stein

Proceedings Volume 8890, 889018 (2013) https://doi.org/10.1117/12.2028344

KEYWORDS: Clouds, MODIS, Satellites, Long wavelength infrared, Optical spheres, Satellite imaging, Sensors, Earth observing sensors, Computer simulations, Atmospheric modeling

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Proceedings Article | 11 October 2011 Paper

Validation of the background simulation model MATISSE: comparing results with MODIS satellite images

Caroline Schweitzer, Karin Stein, Norbert Wendelstein, Luc Labarre, Karine Caillault, Sandrine Fauqueux, Claire Malherbe, Antoine Roblin, Bernard Rosier, Pierre Simoneau

Proceedings Volume 8178, 817805 (2011) https://doi.org/10.1117/12.901099

KEYWORDS: MODIS, Atmospheric modeling, Data modeling, Satellites, Satellite imaging, Clouds, Earth observing sensors, Atmospheric particles, Sensors, Databases

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Proceedings Article | 11 October 2011 Paper

Multiresolution infrared optical properties for Gaussian sea surfaces computations: comparison against the MIRAMER campaign measurements in solar glint configurations

Sandrine Fauqueux, Stéphane Langlois, Claire Malherbe, Karine Caillault, Luc Labarre

Proceedings Volume 8178, 817806 (2011) https://doi.org/10.1117/12.902692

KEYWORDS: Atmospheric modeling, Sun, Mid-IR, Optical properties, Aerosols, Atmospheric particles, Sensors, Infrared radiation, Visibility, Temperature metrology

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Proceedings Article | 10 May 2011 Paper

MATISSE-v2.0: new functionalities and comparison with MODIS satellite images

Luc Labarre, Karine Caillault, Sandrine Fauqueux, Claire Malherbe, Antoine Roblin, Bernard Rosier, Pierre Simoneau, Caroline Schweitzer, Karin Stein, Norbert Wendelstein

Proceedings Volume 8014, 80140Z (2011) https://doi.org/10.1117/12.886902

KEYWORDS: MODIS, Atmospheric modeling, Clouds, Data modeling, Satellites, Satellite imaging, Earth observing sensors, Atmospheric particles, 3D modeling, Earth's atmosphere

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Proceedings Article | 12 October 2010 Paper

An overview of MATISSE-v2.0

Luc Labarre, Karine Caillault, Sandrine Fauqueux, Claire Malherbe, Antoine Roblin, Bernard Rosier, Pierre Simoneau

Proceedings Volume 7828, 782802 (2010) https://doi.org/10.1117/12.868183

KEYWORDS: Atmospheric modeling, Databases, Atmospheric particles, Spatial resolution, Spectral resolution, Thermodynamics, Clouds, Data modeling, Thermal modeling, Aerosols

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Proceedings Article | 22 April 2009 Paper

MATISSE-v1.5 and MATISSE-v2.0: new developments and comparison with MIRAMER measurements

Pierre Simoneau, Karine Caillault, Sandrine Fauqueux, Thierry Huet, Luc Labarre, Claire Malherbe, Bernard Rosier

Proceedings Volume 7300, 73000L (2009) https://doi.org/10.1117/12.818473

KEYWORDS: Atmospheric modeling, Atmospheric particles, Aerosols, Clouds, Databases, Spectral resolution, Spatial resolution, Thermodynamics, Thermal modeling, Environmental sensing

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Proceedings Article | 22 April 2009 Paper

The coupling of MATISSE and the SE-WORKBENCH: a new solution for simulating efficiently the atmospheric radiative transfer and the sea surface radiation

Thierry Cathala, Nicolas Douchin, Jean Latger, Karine Caillault, Sandrine Fauqueux, Thierry Huet, Luc Lubarre, Claire Malherbe, Bernard Rosier, Pierre Simoneau

Proceedings Volume 7300, 73000K (2009) https://doi.org/10.1117/12.818450

KEYWORDS: Atmospheric modeling, 3D modeling, Clouds, Databases, Atmospheric physics, Atmospheric particles, Radiative transfer, Sensors, Infrared imaging, Spectral resolution

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The SE-WORKBENCH workshop, also called CHORALE (French acceptation for "simulated Optronic Acoustic Radar battlefield") is used by the French DGA (MoD) and several other Defense organizations and companies all around the World to perform multi-sensors simulations. CHORALE enables the user to create virtual and realistic multi spectral 3D scenes that may contain several types of target, and then generate the physical signal received by a sensor, typically an IR sensor. The SE-WORKBENCH can be used either as a collection of software modules through dedicated GUIs or as an API made of a large number of specialized toolkits. The SE-WORKBENCH is made of several functional block: one for geometrically and physically modeling the terrain and the targets, one for building the simulation scenario and one for rendering the synthetic environment, both in real and non real time. Among the modules that the modeling block is composed of, SE-ATMOSPHERE is used to simulate the atmospheric conditions of a Synthetic Environment and then to integrate the impact of these conditions on a scene. This software product generates an exploitable physical atmosphere by the SE WORKBENCH tools generating spectral images. It relies on several external radiative transfer models such as MODTRAN V4.2 in the current version. MATISSE [4,5] is a background scene generator developed for the computation of natural background spectral radiance images and useful atmospheric radiative quantities (radiance and transmission along a line of sight, local illumination, solar irradiance ...). Backgrounds include atmosphere, low and high altitude clouds, sea and land. A particular characteristic of the code is its ability to take into account atmospheric spatial variability (temperatures, mixing ratio, etc) along each line of sight. An Application Programming Interface (API) is included to facilitate its use in conjunction with external codes. MATISSE is currently considered as a new external radiative transfer model to be integrated in SE-ATMOSPHERE as a complement to MODTRAN. Compared to the latter which is used as a whole MATISSE can be used step by step and modularly as an API: this can avoid to pre compute large atmospheric parameters tables as it is done currently with MODTRAN. The use of MATISSE will also enable a real coupling between the ray tracing process of the SEWORKBENCH and the radiative transfer model of MATISSE. This will lead to the improvement of the link between a general atmospheric model and a specific 3D terrain. The paper will demonstrate the advantages for the SE WORKEBNCH of using MATISSE as a new atmospheric code, but also for computing the radiative properties of the sea surface.

Proceedings Article | 17 October 2007 Paper

Influence of atmospheric profiles variations on airborne infrared limb observations

C. Malherbe, P. Chervet

Proceedings Volume 6745, 674516 (2007) https://doi.org/10.1117/12.737038

KEYWORDS: Molecules, Transmittance, Atmospheric modeling, Atmospheric sensing, Atmospheric propagation, Radiative transfer, Sensors, Infrared radiation, Thermodynamics, Absorption

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Proceedings Article | 28 September 2006 Paper

MATISSE: version 1.4 and future developments

Pierre Simoneau, Karine Caillault, Sandrine Fauqueux, Thierry Huet, Jean Claude Krapez, Luc Labarre, Claire Malherbe, Christophe Miesch

Proceedings Volume 6364, 636409 (2006) https://doi.org/10.1117/12.694964

KEYWORDS: Atmospheric modeling, Clouds, Atmospheric propagation, Atmospheric particles, Spectral resolution, Thermodynamics, Databases, Aerosols, Atmospheric optics, Spatial resolution

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Proceedings Article | 4 May 2006 Paper

MATISSE: version 1.4 and future developments

Pierre Simoneau, Karine Caillault, Sandrine Fauqueux, Thierry Huet, Jean Claude Krapez, Luc Labarre, Claire Malherbe, Christophe Miesch, Antoine Roblin, Bernard Rosier

Proceedings Volume 6239, 62390I (2006) https://doi.org/10.1117/12.667245

KEYWORDS: Clouds, Atmospheric modeling, Atmospheric propagation, Atmospheric particles, Spectral resolution, Thermodynamics, Databases, Aerosols, Spatial resolution, Refraction

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Proceedings Article | 20 March 2003 Paper

MATISSE--advanced earth modeling for imaging and scene simulation: first results

Pierre Simoneau, Roland Berton, Karine Caillault, Gerard Durand, Thierry Huet, Luc Labarre, Claire Malherbe, Christophe Miesch, Antoine Roblin, Bernard Rosier

Proceedings Volume 4884, (2003) https://doi.org/10.1117/12.462604

KEYWORDS: Atmospheric modeling, Clouds, Atmospheric particles, Atmospheric propagation, Spatial resolution, Databases, Aerosols, Electro optical modeling, Spectral resolution, Absorption

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Proceedings Article | 29 January 2002 Paper

MATISSE: advanced Earth modeling for imaging and scene simulation

Pierre Simoneau, Roland Berton, Karine Caillault, Gerard Durand, Thierry Huet, Luc Labarre, Claire Malherbe, Christophe Miesch, Antoine Roblin, Bernard Rosier

Proceedings Volume 4538, (2002) https://doi.org/10.1117/12.454410

KEYWORDS: Atmospheric modeling, Clouds, Atmospheric propagation, Atmospheric particles, Spatial resolution, Absorption, Aerosols, Spectral resolution, Atmospheric optics, Databases

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Proceedings Article | 20 December 1996 Paper

Airborne stratus measurement and comparison with NUALUM code

Claire Malherbe, Pierre Simoneau, A. Boischot, Gerard Durand, G. Gregoire

Proceedings Volume 2961, (1996) https://doi.org/10.1117/12.262492

KEYWORDS: Clouds, Scattering, Liquids, Radiative transfer, Spectroscopy, Water, Meteorology, Solar radiation, Reflection, Infrared radiation

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Proceedings Article | 27 December 1995 Paper

Radiative transfer model in a cloudy atmosphere: a comparison with airborne cumulus measurement

Claire Malherbe, Pierre Simoneau, A. Boischot, Gerard Durand, Joel Deschamps, G. Gregoire

Proceedings Volume 2578, (1995) https://doi.org/10.1117/12.228942

KEYWORDS: Clouds, Atmospheric modeling, Scattering, Radiative transfer, Infrared radiation, Multiple scattering, Optical filters, Infrared spectroscopy, Spectroscopy, Infrared cameras

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Showing 5 of 16 publications

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