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http://dx.doi.org/10.7471/ikeee.2021.25.2.261

Design of a Compensation Algorithm for Thermal Infrared Data considering Environmental Temperature Variations  

Song, Seong-Ho (School. of Software, Hallym University)
Publication Information
Journal of IKEEE / v.25, no.2, 2021 , pp. 261-266 More about this Journal
Abstract
This paper suggests design methodology for thermal infrared data correction algorithms considering environmental temperature variations. First, a thermal infrared measurement model is suggested by a parameter-dependent first-order input-output equation using the relationship between infrared measurement data and model environmental parameters. In order to compensate the influence of environmental temperatures on infrared data, a compensation function is identified. Through experiments, the proposed algorithm is shown to reduce the influence of environmental temperatures on the infrared data effectively.
Keywords
Thermal infrared Data; compensation algorithm; parameter-dependent model; environmental temperature variation;
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