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Visible through near-IR solar loading influences on characterization

机译:通过近红外太阳能装载对表征的影响来看见

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The ability of sensors to discriminate objects in scenes depends on the scene composition and interactions with the available incident radiation. As sensors and camouflage techniques become more complex the nature of the energy interactions become more important to model accurately. Specific areas of interest are the influences of fluctuations in incident total solar loading radiation on terrain surfaces. The means used to produce 3D radiative calculations over the solar spectrum involves coupling the Air Force's Moderate- resolution Transmission (MODTRAN) code to the Army's 3D Atmospheric Illumination Module (AIM). The solar loading outputs calculated by these coupled codes are then used as input to the Army Smart Weapons Operability Enhancement (SWOE) thermal models. Variations in incident radiation produce surface temperature variations of up to 8 degrees Celsius. In the paper we describe the means of evaluating solar loading effects using a correlated-k-distribution-like algorithm to compress spectral processing, and show comparisons between measured and modeled results.
机译:传感器在场景中区分对象的能力取决于场景成分和与可用事件辐射的相互作用。随着传感器和伪装技术变得更加复杂,能量相互作用的性质对模型准确变得更加重要。具体的兴趣领域是对地形表面发生的事件总太阳能加载辐射的影响。用于在太阳频谱上产生3D辐射计算的手段涉及将空气力的中频传输(Modtran)代码耦合到军队的3D大气照明模块(AIM)。然后使用这些耦合代码计算的太阳能加载输出作为陆军智能武器可操作性增强(SWOE)热模型的输入。入射辐射的变化产生高达8摄氏度的表面温度变化。在论文中,我们描述了使用相关-K分布样算法评估太阳能加载效果以压缩光谱处理,并在测量和建模结果之间显示比较。

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