KEYWORDS: Target detection, LIDAR, 3D modeling, Atmospheric modeling, Sensors, 3D applications, 3D acquisition, Backscatter, Atmospheric propagation, Point clouds
ONERA – The French Aerospace Lab – develops 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.
Going on toward the objectives of NAOMI (New Advanced Observation Method Integration) research project, Total and ONERA are working on hyperspectral imagery to detect, characterize and quantify spills at sea. An important part of this work consists in building a database of oil and water-in-oil emulsion reflectance. This database of spectral signatures will be used to analyze the properties of a slick thanks to hyperspectral imagery in the VNIR+SWIR domain and spectral matching techniques. The characterization of the hydrocarbons performed first in laboratory has been completed with a pool experiment. The aim of such an experiment is to measure more realistic spectral signatures in term of background and thickness than in laboratory. Starting from the sample of the emulsion released at sea during NOFO 2015 experiment, emulsion has been remixed once for laboratory measurements and second for the pool experiment. Indeed, its reflectance was measured in the laboratory but for a quite large thickness and it was difficult to predict how the thickness would be once the emulsion freely spread at the water surface. Moreover, depending on the thickness, a signature mixing emulsion and water background could be obtained. In such case, the signatures measured in the lab and in the pool may differ significantly. As a consequence, the use of spectral signature measured in laboratory may give poor spectral matching results. In order to get the answers, a pool experiment, piloted by ONERA in the frame of the NAOMI collaboration with TOTAL, was organized at CEDRE in Brest (France). CEDRE’s pool is usually used for oil recovery equipment testing or people operating such equipment training. Thus, the pool is large (1900 m²), fairly deep (3 m) and filled with ocean water. Known volumes of several products, including the NOFO 2015 emulsion, were successively poured into a delimited area within the pool. Two hyperspectral cameras put on board a cherry picker located on the pool quay were lifted at about 15 m above the delimited area in order to take images of each small spill. The obtained spectral signatures have been compared with the laboratory ones. Detection algorithms have been applied to the pool hypercubes in order to identify the pixels covered by the NOFO 2015 emulsion and a thickness assessment has been performed. A wide characterization of the NOFO2015 emulsion has been done thanks to laboratory measurements, in pool experiment and airborne images from the NOFO campaign in 2015. The paper will present the pool experiment and the corresponding image processing. A quick recall of the laboratory measurements will be done before presenting the pool and laboratory spectral signatures comparison. Then the spectral signatures will be compared with data from an airborne image of the 2015 NOFO campaign. Finally, a conclusion will be drawn concerning the information that can be extracted from hyperspectral airborne imagery for such kind of emulsion and more generally.
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