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Investigation of the dynamic thermal infrared signatures of a calibration target instrumented with a network of 1-wire temperature sensors

机译:研究带有1线温度传感器网络的校准目标的动态热红外特征

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In this paper, we describe the temperature and thermal variations from a painted geometrical target (CUBI) fitted with a network of internally mounted 1-wire temperature sensors. The sensors, which were calibrated in a temperature-controlled oven, were recorded every 20 seconds over a period from May to December 2015. This amounts to an archive of approximately 180 days of near uninterrupted data. Two meteorological stations collocated with the CUBI on a roof test site, record relevant environmental parameters every few minutes. In this paper, we analyze the data for only one day, 2 October 2015, for which a wavelet analysis highlights the contribution of different temporal fluctuations to total signature. We selected this specific day since it represented simple environmental conditions, and additionally images from a 3-5 microns (MWIR) thermal imager were recorded. Finally, we demonstrate that a wavelet decomposition of the temperature signature to be a useful method to characterize dynamic temperature changes, and perhaps a method to verify prediction models for varying fluctuation scales.
机译:在本文中,我们描述了带有内部安装的1线温度传感器网络的涂漆几何目标(CUBI)的温度和热变化。在温度受控的烤箱中校准的传感器在2015年5月至2015年12月期间每20秒记录一次。这相当于大约180天几乎不间断的数据的存档。与CUBI一起在屋顶测试现场布置的两个气象站每隔几分钟记录一次相关的环境参数。在本文中,我们仅分析了2015年10月2日这一天的数据,其中的小波分析强调了不同时间波动对总特征的贡献。我们选择了这一天,因为它代表简单的环境条件,并且还记录了3-5微米(MWIR)热像仪的图像。最后,我们证明了温度特征的小波分解是表征动态温度变化的有用方法,也许是一种验证波动幅度变化的预测模型的方法。

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