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7 November 2018 The experiment analysis of LWIR thermal camera’s imaging under the influence of integrate time
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Proceedings Volume 10832, Fifth Conference on Frontiers in Optical Imaging Technology and Applications; 108320F (2018) https://doi.org/10.1117/12.2506533
Event: Fifth Conference on Frontiers in Optical Imaging Technology and Applications, 2018, Changchun, China
Abstract
In this paper, the influences for one LWIR thermal camera in different integrate time are studied by using surrounding temperature simulator and blackbody of independent research and development, which compared to theoretical results. In experiment, the image of camera is obtained by using different integrate time and same temperature of blackbody at surrounding temperature of-30°C, 0°C and 20°C, the result show that the output voltage is linearly proportion to integrate time in those surrounding temperature. The experiment is studied for different blackbody temperature at surrounding temperature of-30°C, the result shows that: the slope of “integrate time vs. DL value” is increased with the target temperature. The noise of output image is increased with the increasing of integrate time. Whose agree with theoretical result. According to the conclusion, the DL value of random integrate time can be derived by known two integrate time DL for one blackbody temperature. And the calibration in random integrate time between two integrate time whose calibration curve are known, which is verified in experiment: the blackbody brightness deviation between test and derivation is less than 1%, which corresponds to blackbody temperature deviation between test and derivation is less than 1°C. The experiment results show that the measurement efficiency can be improved by using appropriate integrate time.
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Jing Wang, Xiaoli Fan, Ying Xu, Bida Su, Chang Liu, Yazhou Zhang, and Hao Lei "The experiment analysis of LWIR thermal camera’s imaging under the influence of integrate time", Proc. SPIE 10832, Fifth Conference on Frontiers in Optical Imaging Technology and Applications, 108320F (7 November 2018); https://doi.org/10.1117/12.2506533
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