Modeling of an active burst illumination imaging system: comparison between experimental and modelled 3D scene

Rivière, Nicolas; Anna, Guillaume; Hespel, Laurent; Tanguy, B.; Velluet, Marie-Thérèse; Frédéric, Yves-Michel

doi:10.1117/12.864694

Cited by 6 publications

(5 citation statements)

References 9 publications

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“…To assess the performances of active 3D-systems, ONERA had previously developed numerical simulation codes [1] [2]. The MATLIS software is a homemade simulation tool to predict the quality of the data generated by both scanning and focal plane array (camera) of active imagers [3].…”

Section: Matlis Softwarementioning

confidence: 99%

Low-SWaP embedded 3D-LiDAR to detect non-cooperative targets

Rivière¹,

Dupouy

Moussous

et al. 2023

Advanced Photon Counting Techniques XVII

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ONERA -The French Aerospace Labdevelops new concepts of 3D-LiDAR imaging systems including new sensor technologies such as detector for photon counting and, associated data processing. The rising complexities and costs of high performance systems, and the shrinking time to design drove the ONERA approach. The home-grown MATLIS software has been evolving for the past decade. It allows both linear mode LiDAR and single photon electro-optical systems simulation (both GmAPD and SPL) embedded on dynamic platforms (eg. UAVs, Aircrafts). The static or dynamic 3D scene is fully described both in terms of geometry and optical properties (eg. reflectance, background illumination, and atmosphere). The scanning system and the platform motion are taken into account. Laser propagation is fully modelled including atmospheric effects such as turbulence, absorption, and backscattering in the forward and backward directions. Target interaction is angle dependent (temporal broadening and directional backscattering). Optical full-wave-form signal is computed in the focal plane of the imaging system. A 3D point cloud is generated using sensor models (including but not limited to APD, GmAPD, SiPM…). Here, we describe our end-to-end MATLIS software and present validation cases. Then, we apply a complete performance analysis study to design a novel and original concept of low-SWaP 3D-LiDAR to detect non-cooperative targets from a stratospheric surveillance platform.

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Section: Matlis Softwarementioning

confidence: 99%

Low-SWaP embedded 3D-LiDAR to detect non-cooperative targets

Rivière¹,

Dupouy

Moussous

et al. 2023

Advanced Photon Counting Techniques XVII

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“…On the same day, on 13 June 2013, multiple acquisitions with a TLS instrument were performed in order to reconstruct the 3D shape of trees from the acquired point clouds. This LiDAR instrument has been developed by ONERA: GIBI (Gated Imager with Burst Illumination) [45]. It has multi-target capability and took several multi-angular acquisitions leading to point clouds with an angular step set to 1 • between consecutive laser shots [45].…”

Section: Figurementioning

confidence: 99%

“…This LiDAR instrument has been developed by ONERA: GIBI (Gated Imager with Burst Illumination) [45]. It has multi-target capability and took several multi-angular acquisitions leading to point clouds with an angular step set to 1 • between consecutive laser shots [45]. The data geo-referencing was performed based on known reference locations of French Geographic Institute (IGN) with centimetric accuracy.…”

Section: Figurementioning

confidence: 99%

Impact of Tree Crown Transmittance on Surface Reflectance Retrieval in the Shade for High Spatial Resolution Imaging Spectroscopy: A Simulation Analysis Based on Tree Modeling Scenarios

et al. 2021

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With the advancement of high spatial resolution imaging spectroscopy, an accurate surface reflectance retrieval is needed to derive relevant physical variables for land cover mapping, soil, and vegetation monitoring. One challenge is to deal with tree shadows using atmospheric correction models if the tree crown transmittance Tc is not properly taken into account. This requires knowledge of the complex radiation mechanisms that occur in tree crowns, which can be provided by coupling the physical modeling of canopy radiative transfer codes (here DART) and the 3D representations of trees. First in this study, a sensitivity analysis carried out on DART simulations with an empirical 3D tree model led to a statistical regression predicting Tc from the tree leaf area index (LAI) and the solar zenith angle with good performances (RMSE ≤ 4.3% and R2 ≥ 0.91 for LAI ≤ 4 m2.m-2). Secondly, more realistic 3D voxel-grid tree models derived from terrestrial LiDAR measurements over two trees were considered. The comparison of DART-simulated Tc from these models with the previous predicted Tc over 0.4–2.5 µm showed three main sources of inaccuracy quoted in order of importance: 1) the global tree geometry shape (mean bias up to 21.5%), 2) the transmittance fraction associated to multiple scattering, Tscat (maximum bias up to 13%), and 3) the degree of realism of the tree representation (mean bias up to 7.5%). Results showed that neglecting Tc leads to very inaccurate reflectance retrieval (mean bias > 0.04), particularly if the background reflectance is high, and in the near and shortwave infrared – NIR and SWIR – due to Tscat. The transmittance fraction associated to the non-intercepted transmitted light, Tdir, can reach up to 95% in the SWIR, and Tscat up to 20% in the NIR. Their spatial contributions computed in the tree shadow have a maximum dispersion of 27% and 8% respectively. Investigating how to approximate Tdir and Tscat spectral and spatial variability along with the most appropriate tree 3D modeling is crucial to improve reflectance retrieval in tree shadows when using atmospheric correction models.

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“…Light scattering properties of dense optical media are relevant in fields ranging from material science, 1-4 atmospheric studies 5, 6 such as lidar 7 or remote sensing 8, 9 to industrial activities as control of chemical synthesis. 10 These techniques have been recently extended for biomedical 11 and nanomaterials 3,12 properties.…”

Section: Introductionmentioning

confidence: 99%

In-line control and characterization of nanomaterials synthesis from hyperspectral polarimetric light scattering: an experimental method

Ceolato

Rivière²,

Biscans

2012

SPIE Proceedings

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Control and characterization of nanomaterial synthesis have been a great challenge for years. Onera, The French Aerospace Lab, has developed a fast, in-line and comprehensive characterization method based on the combination of hyperspectral, polarized and angular measurements. In this paper, physical and optical properties are measured to control and characterize nanomaterials synthesis. Based on achieved results, in-line techniques are presented to retrieve physical properties of materials such as aggregates of calcium carbonate precipitates. Original applications will be discussed in various fields as chemical or atmospheric (eg. aerosol characterization) science.

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Modeling of an active burst illumination imaging system: comparison between experimental and modelled 3D scene

Cited by 6 publications

References 9 publications

Low-SWaP embedded 3D-LiDAR to detect non-cooperative targets

Low-SWaP embedded 3D-LiDAR to detect non-cooperative targets

Impact of Tree Crown Transmittance on Surface Reflectance Retrieval in the Shade for High Spatial Resolution Imaging Spectroscopy: A Simulation Analysis Based on Tree Modeling Scenarios

In-line control and characterization of nanomaterials synthesis from hyperspectral polarimetric light scattering: an experimental method

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