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Long-wave infrared surface reflectance spectra retrieved from Telops Hyper-Cam imagery

机译:从Telops Hyper-Cam影像获取的长波红外表面反射光谱

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Processing long-wave infrared (LWIR) hyperspectral imagery to surface emissivity or reflectance units via atmospheric compensation and temperature-emissivity separation (TES) affords the opportunity to remotely classify and identify solid materials with minimal interference from atmospheric effects. This paper describes an automated atmospheric compensation and TES method, called FLAASH~®-IR (Fast Line-of-sight Atmospheric Analysis of Spectral Hypecubes -Infrared), and its application to ground-to-ground imagery taken with the Telops Inc. Hyper-Cam interferometric hyperspectral imager. The results demonstrate that clean, quantitative surface spectra can be obtained, even with highly reflective (low emissivity) objects such as bare metal and in the presence of some illumination from the surroundings. In particular, the atmospheric compensation process suppresses the spectral features due to atmospheric water vapor and ozone, which are especially prominent in reflected sky radiance.
机译:通过大气补偿和温度-发射率分离(TES)将长波红外(LWIR)高光谱图像处理为表面发射率或反射率单位,可以在不受大气影响的情况下对固体材料进行远程分类和识别。本文介绍了一种自动大气补偿和TES方法,称为FLAASH〜-IR(光谱伪影的快速视线大气分析-红外),及其在Telops Inc.拍摄的地面图像中的应用。 -Cam干涉式高光谱成像仪。结果表明,即使使用裸露金属之类的高反射率(低发射率)物体,并且周围存在一些照明,也可以获得干净,定量的表面光谱。尤其是,大气补偿过程可抑制由于大气水蒸气和臭氧而引起的光谱特征,这在反射的天空辐射中尤为突出。

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