By topic- Electro-Optic (infrared)
- Radio-Frequency (radar)
- Active-Imagery (laser)
- Satellites Navigation (GNSS)
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Building generation for Multi-Sensor SimulationITMBS 2007-1
Urban Warfare training can be achieved with infrared/NVG embedded sensors, such sensors can also be used for infrared image recognition and target identification training. In the infrared domain, the 3D representation of a facade is necessary in order to have realistic representation with regards both to thermal computation and thermal effects. In the radar domain, this type of facade modelling is quite necessary with regards to edge and corner reflection effects. During the specifications of infrared enhanced vision systems or infrared embedded security systems, the usage of simulation reduces the cost and time required to validate a product. But to ensure the reliability of such virtual simulation, it is necessary to use a large panel of simulation tests. Creating these tests, and especially the one in urban area could be time consuming. The capacity to quickly generate credible digital city models helps the users to achieve their studies. Detailed modelling of realistic towns is a real challenge for computer graphics. Modelling a virtual city that is detailed enough to be credible is a huge task that requires lots of hours of work. In this context, automatic approaches can bring a real added value. We present a new technique to automatically generate building exteriors. Our technique relies on the definition of building templates that will be applied on building descriptions. Building frontages are generated using a 2.5D wall grammar based on a set of rules that can be simple or detailed enough to fulfil the users wishes. Our method is as easy to use as the texture repetition but provides a higher level of realism and diversity in the resulting buildings. Then little information is necessary to generate a whole building: the walls and roof height, the building 3D footprint and the chosen template. This information can be stored within a Geographic Information System.
SE-RAY-EM in the Air&Cosmos reviewAir&Cosmos, January 2007
Following the Science and Defense price, an article was published in the "Air&Cosmos" review in France (Number 2062, 26 Janvier 2007). This article presents the main functions of the SE-RAY-EM/FERMAT software and its potential applications. Mr. Jean Latger, CEO of OKTAL-SE, also presents the different projects already achieved with the software.
SE-RAY-IR improvement: an advanced illumination approach for infrared rendering of outdoor scenesITMBS 2007-2
In this paper, we describe the evolutions of SE-RAY-IR. The first evolution concerns an improvement in the description of physical materials using a BRDF model which describes complex materials (from user defined analytical models to measured data sets). The second improvement concerns the rendering algorithm. We propose a highly configurable hybrid approach which takes the best suited method for each simulated phenomena among a set of literature rendering methods. Then our hybrid approach benefits from their respective advantages. It enables the computation of highly realistic simulation of outdoor scenes, taking into account sky light multiple reflections, extended sources and glossy reflections.
Simulation of active and passive infrared images using the SE-WorkbenchSPIE 2007
The SE-WORKBENCH workshop, also called CHORALE ("simulated Optronic Acoustic Radar battlefield"), is used by the French MoD/DGA to perform multi-sensors simulations by creating virtual realistic multi spectral 3D scenes and then generating the signal received by a sensor. Taking advantage of developments made in the frame of Radar simulation, CHORALE is currently enhanced with new functionalities in order to tackle the "active" problem, involving new generation of infrared sensors such as laser radars. This article aims at presenting the challenges for simulating simultaneously passive IR imagery of a full terrain and active imagery especially on targets. We insist on duality and differences concerning in particular monochromatic/coherent waves versus incoherent waves, BRDF modeling taking into account surface roughness, polarization effects, Doppler effects.