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The prediction of the optical contrast of air-borne targets against the night-sky background for Photopic and NVG sensors

机译:对夜空背景对夜空背景对空气传播靶的光学对比度的预测

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The Havemann-Taylor Fast Radiative Transfer Code (HT-FRTC) represents transmittances, radiances and fluxes by principal components that cover the spectra at very high resolution, allowing fast highly-resolved pseudo line-by-line, hyperspectral and broadband simulations across the electromagnetic spectrum form the microwave to the ultraviolet for satellite-based, airborne and ground-based sensors. HT-FRTC models clear atmospheres and those containing clouds and aerosols, as well as any surface (land/sea/man-made). The HT-FRTC has been used operationally in the NEON Tactical Decision Aid (TDA) since 2008. The TDA combines the HT-FRTC with a thermal contrast model and an NWP model forecast data feed to predict the apparent thermal contrast between different surfaces and ground-based targets in the thermal and short-wave IR. The new objective here is to predict the optical contrast of air-borne targets under realistic night-time scenarios in the Photopic and NVG parts of the spectrum. This requires the inclusion of all the relevant radiation sources, which include twilight, moonlight, starlight, airglow and cultural light. A completely new exact scattering code has been developed which allows the straight-forward addition of any number of direct and diffuse sources anywhere in the atmosphere. The new code solves the radiative transfer equation iteratively and is faster than the previous solution. Simulations of scenarios with different light levels, from situations during a full moon to a moonless night with very low light levels and a situation with cultural light from a town are presented. The impact of surface reflectance and target reflectance is investigated.
机译:HAVEMANN-TAYLOR快速辐射转移代码(HT-FRTC)表示覆盖光谱的主要成分以非常高的分辨率,允许穿过电磁的快速高光谱和宽带模拟的透射率,辐射和助焊剂光谱形成微波至紫外线,用于卫星基地,空中和基于地基传感器。 HT-FRTC模型清晰的大气和含有云和气溶胶的型,以及任何表面(陆/海/人造)。 HT-FRTC自2008年以来已在霓虹战术决策辅助(TDA)中运行。该TDA将HT-FRTC与热造影模型和NWP模型预测数据饲料结合在一起,以预测不同表面和地之间的表观热对比度基于热和短波IR中的目标。这里的新目标是预测光谱和NVG部分的现实夜间场景下的空气传播目标的光学对比。这需要列入所有相关的辐射源,包括暮光之城,月光,星光,防空光线。已经开发出全新的精确散射代码,其允许在大气中的任何地方直接添加任何数量的直接和漫射源。新代码迭代地解决了辐射传输方程,比以前的解决方案快。仿真不同光水平的场景,从满月的情况到一个低光水平的月亮夜晚,并展示了来自镇的文化光的情况。研究了表面反射率和目标反射率的影响。

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