Infrared Data Measurement Modeling and Non-Uniformity Correction (NUC) Algorithm for Infrared Detector

Abstract:

In this paper, infrared data correction algorithm is suggested when the environmental conditions such as air temperature or detector substrate temperature are varying. To correct the infrared data, infrared detector measurement model is described by a parameter-dependent first-order input-output equation and the relations between infrared data and model environmental parameters are investigated first. By determining the parameters which dominate the influence on the infrared data, the coefficients of a model are obtained. By using only the measurements of ambient temperatures and detector substrate temperatures, infrared detector output data corrupted by environmental temperature variations are compensated based on the model instead of using any target temperature source equipments. It is shown through experiments that the proposed algorithm can reduce the influence of environmental temperatures on the infrared data.

• Periodical: Applied Mechanics and Materials (Volume 339)
• Pages: 190-194
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.339.190
• Online since: July 2013
• Authors: Seong Ho Song, Keun Young Ho, Seop Hyeong Park
• Keywords: Detector, Infrared Data, Measurement Model, Non-Uniformity Correction

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