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一种考虑环境温度变化的制冷型红外系统外场标定方法
投稿时间:2024-10-31  修订日期:2024-11-08  点此下载全文
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作者单位地址
甘世奇* 中国人民解放军95859部队 甘肃酒泉肃州区14支局37号
张啸 中国人民解放军95859部队 
吴统邦 中国人民解放军95859部队 
马鑫 中国人民解放军95859部队 
车勋 中国人民解放军95859部队 
何明亮 中国人民解放军95859部队 
基金项目:国家自然科学基金(No.5167506)
中文摘要:红外系统标定是开展目标红外特性测量的重要工作,其标定精度将直接影响最终测量结果的准确度。为减小温度漂移对标定精度的影响,提出一种考虑环境温度变化的制冷型红外系统外场标定方法,推导了考虑环境温度的像元灰度响应—目标辐射亮度关系公式。通过某型国产制冷型红外系统的外场标定实验,验证方法可行性和准确性。结果表明,较传统标定方法,本文提出的方法对参与拟合的温度点反演平均误差降低了0.57%,均方根误差降低了0.03,对延伸温度点反演平均误差降低了1.63%,均方根误差降低了0.93,对于整个画幅标定精度更高。该方法可显著提升目标特性反演准确性,为开展红外系统标定实际工程应用提供有益的参考借鉴。
中文关键词:环境温度  制冷型红外系统  红外标定  温度漂移  红外特性测量。
 
A Field Calibration Method for Refrigeration Infrared Systems Considering Environmental Temperature Changes
Abstract:Infrared system calibration is an important task for measuring the infrared characteristics of targets, and its calibration accuracy will directly affect the accuracy of the final measurement results. To mitigate the impact of temperature drift on calibration accuracy, we propose an external field calibration method for refrigerated infrared systems that takes into account variations in ambient temperature, and the relation formula of pixel gray response and target radiation brightness considering ambient temperature is derived. The feasibility and accuracy of the proposed method are verified by an external field calibration experiments of a certain domestic cooled infrared system. The results show that, compared to traditional calibration methods, the proposed method reduces the mean error of temperature point inversion by 0.57% and the root mean square error by 0.03. For extended temperature points, the mean error of inversion decreases by 1.63%, and the root mean square error by 0.93. This method offers higher calibration accuracy across the entire frame and significantly improves the accuracy of target characteristic inversion. This approach can provide a valuable reference for practical engineering applications of infrared system calibration.
keywords:Environmental temperature  Refrigerated infrared system  Infrared calibration  Temperature drift  Infrared characteristic measurement.
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