目前, 人们在对红外热像仪进行辐射标定时, 普遍采用精度不太理想的最小二乘法。为减少热像仪的系统随机误差、环境波动和黑体温度不稳定等因素对标定结果的影响,提高标定模型的精度, 建立了基于加权最小二乘的红外热像仪标定模型, 并分别基于加权最小二乘法与最小二乘法进行了标定实验和辐射测量实验。实验结果表明, 基于加权最小二乘的标定模型的拟合精度更高, 其在辐射测量实验中的平均测量精度比基于最小二乘的平均测量精度提高了2.3%。基于加权最小二乘的红外热像仪的标定具有较强的实用价值和一定的借鉴意义。

Although the least square method is widely used in the calibration of infrared thermal cameras at present, its accuracy is not ideal. To reduce the influences of the system random error, environmental fluctuation and unstable blackbody temperature of a thermal camera on the calibration result, a calibration model for infrared thermal cameras based on a weighted least square method is established. Both calibration experiments and radiation measurement experiments are carried out by the weighted least square method and the least square method respectively. The experimental results show that the calibration model based on the weighted least square has a higher fitting accuracy and its mean measurement accuracy in radiation measurement experiments is improved by 2.3% compared with that of the least square method. The calibration based on the weighted least square method is of practical value and of a certain referential significance.