There is an increasing need of infrared signature knowledge of aerospace vehicles, both for defense and civilian applications, such as stealth technology, sensor design, and aerial obstacle detection for unmanned aerial vehicles. Models have been developed for this purpose by manufacturers or research laboratories, in order to predict infrared signatures of targets in the specific fields investigated. In some circumstances, it may be necessary to model complex radiative phenomena, such as diffuse reflections between different parts of the airframe, to improve the infrared target signature accuracy, or to help experimental image interpretation. An aircraft infrared signature modeling code, developed at ONERA, has been upgraded with a global illumination model, based on a Monte Carlo ray tracer, in order to evaluate the influence of these effects. First, this paper presents the main characteristics of the code and the principles of the rendering method. Next, comparisons are accomplished with another simulation tool and experimental data as well. The benefit of this approach in aircraft infrared signature computation is then discussed.
Water leak detection in water transportation mains outside urban areas by airborne remote sensing has been assessed with a series of measurement campaigns in 2017 and 2018 over SCP (Société du Canal de Provence -France) network. The most appropriate equipment for revealing high moisture areas and artificial leaks coming from the image database (VNIR, TIR spectral range) allowed us to validate the choice of the onboard instrumentation for both types of platforms (manned & unmanned) associated with the multispectral approach (Triangle method). This work aims to validate further the water leak detection technique developed in the WADI project. This was performed in the framework of a new airborne campaign in May and September 2019 over EDIA (Empresa de Desenvolvimento e Infra-estruturas do Alqueva -Portugal) network with a plane and an UAV in operational environment.
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