Sungho Kim , Yewon Jang , Jaeho Kim , Kyeong Jin Jeong
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引用次数: 0
Abstract
Temperature-emissivity separation (TES) is a very interesting technique that estimates both the surface temperature and spectral emissivity from hyperspectral data such as Fourier transform infrared spectroscopy. The TES method is necessary for measuring the temperature of an object to which a contact thermometer cannot be attached. The iterative spectral smoothness TES (ISS-TES) method works well in outdoor environments with strong absorption in downwelling. In indoor environments, ISS-TES cannot work properly because of two factors: almost no absorption in downwelling and thermal equilibrium between an object and its surroundings. This study analyzes the causes of incorrect TES of ISS-TES through mathematical derivations and simulations. Based on these analyses, a novel local spectral curvature-TES (LSC-TES) method is proposed for stable temperature and spectral emissivity estimation in indoor environments. The application of local spectral smoothness instead of global spectral smoothness in ISS-TES on a heated object can mitigate the limitations of ISS-TES. The experimental results obtained using simulations and TELOPS Hyper-CAM LWIR validate the feasibility of the proposed LSC-TES in indoor environments.
期刊介绍:
The Journal covers the entire field of infrared physics and technology: theory, experiment, application, devices and instrumentation. Infrared'' is defined as covering the near, mid and far infrared (terahertz) regions from 0.75um (750nm) to 1mm (300GHz.) Submissions in the 300GHz to 100GHz region may be accepted at the editors discretion if their content is relevant to shorter wavelengths. Submissions must be primarily concerned with and directly relevant to this spectral region.
Its core topics can be summarized as the generation, propagation and detection, of infrared radiation; the associated optics, materials and devices; and its use in all fields of science, industry, engineering and medicine.
Infrared techniques occur in many different fields, notably spectroscopy and interferometry; material characterization and processing; atmospheric physics, astronomy and space research. Scientific aspects include lasers, quantum optics, quantum electronics, image processing and semiconductor physics. Some important applications are medical diagnostics and treatment, industrial inspection and environmental monitoring.