摘要
使用太阳辐射计在2021年3月至5月于丽江高原的观测数据为辐射计进行Langley定标,针对观测期间大气环境波动带来的拟合误差,提出了一种拟合前数据筛选的定标方法,通过排除掉观测期间波动幅度过大的数据,提高参与定标的数据可靠性,从而提升定标结果的精度与稳定度。结果显示经过数据筛选的Langley拟合线性度有明显提升,定标值离散程度大幅减小,各通道定标值分布区间平均减小了70.4%,标准差减小了65.4%,对于已得到的多日定标结果,采用拟合平均法使各波段定标值标准差减小了28.7%~67.6%,结果与仪器出厂定标值相对误差小于3%,证明方法是可行有效的。
A calibration method for pre-fit data screening is proposed to address the fitting errors caused by fluctuations in the atmospheric environment during the observation period,and a Langley calibration is carried out for the radiometer using the observation data of the solar radiometer at the Lijiang Plateau from March to May 2021.By excluding the data with excessive fluctuation during the observation period,the reliability of the data participating in the calibration is improved,so as to improve the accuracy and stability of the calibration results.The results show that the Langley fitting linearity after data screening is significantly improved,the dispersion of calibration values is greatly reduced,with an average reduction of 70.4%in the distribution interval and 65.4%in the standard deviation of the calibration values of each channel.For the obtained multi-day calibration results,the standard deviation of the calibration values of each band is reduced by 28.7%~67.6%by using the fitting average method and the relative error between the results and the factory calibration values of the instrument is less than 3%,which proves that the method is feasible and effective.
作者
贾曜峰
王玉鹏
沈宏海
JIA Yao-feng;WANG Yu-peng;SHEN Hong-hai(Changchun Institute of Optics,Precision Machinery and Physics,Chinese Academy of Sciences,Changchun 130033,China;University of Chinese Academy of Sciences,Beijing 100049,China)
出处
《激光与红外》
CAS
CSCD
北大核心
2023年第5期764-771,共8页
Laser & Infrared
基金
国家重点研发计划项目(No.xxxxxxxxxx5805)资助。
作者简介
贾曜峰(1998-),男,硕士,主要研究方向为大气遥感及仪器标定。E-mail:1370515910@qq.com;通讯作者:沈宏海,男,博士,研究员,主要研究方向为航空光学成像技术。E-mail:shenhh@ciomp.ac.cn。
