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Demonstration of temperature imaging by H2O absorption spectroscopy using compressed sensing tomography

机译:通过使用压缩传感层析成像的H2O吸收光谱演示温度成像

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This paper introduces temperature imaging by total-variation-based compressed sensing (CS) tomography of H2O vapor absorption spectroscopy. A controlled laboratory setup is used to generate a constant two-dimensional temperature distribution in air (a roughly Gaussian temperature profile with a central temperature of 677 K). A wavelength-tunable laser beam is directed through the known distribution; the beam is translated and rotated using motorized stages to acquire complete absorption spectra in the 1330-1365 nm range at each of 64 beam locations and 60 view angles. Temperature reconstructions are compared to independent thermocouple measurements. Although the distribution studied is approximately axisymmetric, axisymmetry is not assumed and simulations show similar performance for arbitrary temperature distributions. We study the measurement error as a function of number of beams and view angles used in reconstruction to gauge the potential for application of CS in practical test articles where optical access is limited. (C) 2015 Optical Society of America
机译:本文介绍了基于H2O蒸气吸收光谱的基于总变分的压缩传感(CS)层析成像的温度成像。受控的实验室设置用于在空气中生成恒定的二维温度分布(中心温度为677 K的大致高斯温度曲线)。波长可调谐的激光束通过已知分布。光束使用电动平台进行平移和旋转,以在64个光束位置和60个视角中的每个位置获取1330-1365 nm范围内的完整吸收光谱。将温度重建与独立的热电偶测量进行比较。尽管研究的分布近似为轴对称,但未假定轴对称,并且仿真显示了任意温度分布的相似性能。我们研究了测量误差与光束数量和视角的关系,该误差用于重建中,以测量CS在光学访问受限的实际测试文章中的应用潜力。 (C)2015年美国眼镜学会

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