SETHI / RAMSES-NG: New performances of the flexible multi-spectral airborne remote sensing research platform

International audienceSETHI is an airborne SAR/GMTI system developed by the French Aerospace Lab. ONERA, and integrating various sensors. In 2016 ONERA invested in upgrade and improvement of all SETHI components. The microwave ones cover from VHF-UHF to X Band, full polarimetric and very high resolution, along track and cross track interferometry and very high precision multi-baseline capacity for interferometry and tomography applications. The optronic sensors offer very high spatial resolution visible images and fine spectral scene analysis in VNIR and SWIR bands. This paper presents the upgrade and new performances of this flexible platform and the qualification campaign results with various sensor configurations

Conception et test d'un prototype de radar UWB à faible SWaP avec source optoélectronique

International audiencePulsed UWB (Ultra-Wideband) optoelectronic sources offer numerous advantages for radar systems, including enhanced range resolution, discretion, and a reduced Size, Weight, and Power (SWaP) footprint. Consequently, there is a growing interest in integrating such sources into radar chains, representing a current focal point in research. However, existing efforts in this domain often utilize pulsed UWB optoelectronic sources with considerable SWaP which may not be ideal, particularly in the context of airborne radar systems. This paper addresses this challenge by presenting a novel approach to reduce SWaP for pulsed UWB optoelectronic sources and subsequently integrating them into a compact radar prototype. The document outlines two primary objectives: firstly, the reduction of SWaP for the optoelectronic source, and secondly, its seamless integration into a complete radar system with minimal spatial, weight, and power requirements. Finally, the results of an experiment of the radar system will be analyzed.Les sources optoélectroniques ULB (Ultra Large Bande) pulsées offrent de nombreux avantages pour les systèmes radar, notamment une meilleure résolution de la portée, une plus grande discrétion et un encombrement réduit, en termes de taille, de poids et de puissance (SWaP). Par conséquent, l'intégration de ces sources dans les chaînes radar suscite un intérêt croissant et constitue un point focal actuel de la recherche. Cependant, les efforts existants dans ce domaine utilisent souvent des sources optoélectroniques UWB pulsées avec un SWaP considérable, ce qui peut ne pas être idéal, en particulier dans le contexte des systèmes radar aéroportés où la minimisation du SWaP est cruciale. Le présent document relève ce défi en présentant une nouvelle approche visant à réduire le SWaP des sources optoélectroniques ULB pulsées et en les intégrant par la suite dans un prototype de radar compact. Le document présente deux objectifs principaux : premièrement, la réduction du SWaP pour la source optoélectronique et, deuxièmement, son intégration transparente dans un système radar complet avec des exigences minimales en matière d'espace, de poids et de puissance

Hyperspectral and Radar Airborne Imagery over Controlled Release of Oil at Sea

Remote sensing techniques are commonly used by Oil and Gas companies to monitor hydrocarbon on the ocean surface. The interest lies not only in exploration but also in the monitoring of the maritime environment. Occurrence of natural seeps on the sea surface is a key indicator of the presence of mature source rock in the subsurface. These natural seeps, as well as the oil slicks, are commonly detected using radar sensors but the addition of optical imagery can deliver extra information such as thickness and composition of the detected oil, which is critical for both exploration purposes and efficient cleanup operations. Today, state-of-the-art approaches combine multiple data collected by optical and radar sensors embedded on-board different airborne and spaceborne platforms, to ensure wide spatial coverage and high frequency revisit time. Multi-wavelength imaging system may create a breakthrough in remote sensing applications, but it requires adapted processing techniques that need to be developed. To explore performances offered by multi-wavelength radar and optical sensors for oil slick monitoring, remote sensing data have been collected by SETHI (Système Expérimental de Télédection Hyperfréquence Imageur), the airborne system developed by ONERA (the French Aerospace Lab), during an oil spill cleanup exercise carried out in 2015 in the North Sea, Europe. The uniqueness of this dataset lies in its high spatial resolution, low noise level and quasi-simultaneous acquisitions of different part of the EM spectrum. Specific processing techniques have been developed to extract meaningful information associated with oil-covered sea surface. Analysis of this unique and rich dataset demonstrates that remote sensing imagery, collected in both optical and microwave domains, allows estimating slick surface properties such as the age of the emulsion released at sea, the spatial abundance of oil and the relative concentration of hydrocarbons remaining on the sea surface

Hyperspectral and Radar Airborne Imagery over Controlled Release of Oil at Sea

Remote sensing techniques are commonly used by Oil and Gas companies to monitor hydrocarbon on the ocean surface. The interest lies not only in exploration but also in the monitoring of the maritime environment. Occurrence of natural seeps on the sea surface is a key indicator of the presence of mature source rock in the subsurface. These natural seeps, as well as the oil slicks, are commonly detected using radar sensors but the addition of optical imagery can deliver extra information such as thickness and composition of the detected oil, which is critical for both exploration purposes and efficient cleanup operations. Today, state-of-the-art approaches combine multiple data collected by optical and radar sensors embedded on-board different airborne and spaceborne platforms, to ensure wide spatial coverage and high frequency revisit time. Multi-wavelength imaging system may create a breakthrough in remote sensing applications, but it requires adapted processing techniques that need to be developed. To explore performances offered by multi-wavelength radar and optical sensors for oil slick monitoring, remote sensing data have been collected by SETHI (Système Expérimental de Télédection Hyperfréquence Imageur), the airborne system developed by ONERA (the French Aerospace Lab), during an oil spill cleanup exercise carried out in 2015 in the North Sea, Europe. The uniqueness of this dataset lies in its high spatial resolution, low noise level and quasi-simultaneous acquisitions of different part of the EM spectrum. Specific processing techniques have been developed to extract meaningful information associated with oil-covered sea surface. Analysis of this unique and rich dataset demonstrates that remote sensing imagery, collected in both optical and microwave domains, allows estimating slick surface properties such as the age of the emulsion released at sea, the spatial abundance of oil and the relative concentration of hydrocarbons remaining on the sea surface

Confidence in visual detection, familiarity and recollection judgments is preserved in schizophrenia spectrum disorder

An effective way to quantify metacognitive performance is to ask participants to estimate their confidence in the accuracy of their response during a cognitive task. A recent meta-analysis 1 raised the issue that most assessments of metacognitive performance in schizophrenia spectrum disorders may be confounded with cognitive deficits, which are known to be present in this population. Therefore, it remains unclear whether the reported metacognitive deficits are metacognitive in nature or rather inherited from cognitive deficits. Arbitrating between these two possibilities requires equating task performance between experimental groups. Here, we aimed to characterize metacognitive performance among individuals with schizophrenia across three tasks (visual detection, familiarity, recollection) using a within-subject design while controlling experimentally for intra-individual task performance and statistically for between-subject task performance. In line with our hypotheses, we found no metacognitive deficit for visual detection and familiarity judgments. While we expected metacognition for recollection to be specifically impaired among individuals with schizophrenia, we found evidence in favor of an absence of a deficit in that domain also. We found no specific metacognitive deficit in schizophrenia spectrum disorder in the visual or memory domain. The clinical relevance of our findings is discussed in light of a hierarchical framework of metacognition