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1. 北京跟踪与通信技术研究所 北京,100094
2. 国防科技大学 电子科学与工程学院,湖南 长沙,410073
收稿日期:2015-06-04,
修回日期:2015-06-22,
纸质出版日期:2015-11-14
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程楚雄, 王雪莹, 程洪玮. 统计回归大气透过率廓线的实时计算[J]. 光学精密工程, 2015,23(10z): 35-41
CHENG Chu-xiong, WANG Xue-ying, CHENG Hong-wei. Real-time calculation of statistical regression atmospheric transmittance profile[J]. Editorial Office of Optics and Precision Engineering, 2015,23(10z): 35-41
程楚雄, 王雪莹, 程洪玮. 统计回归大气透过率廓线的实时计算[J]. 光学精密工程, 2015,23(10z): 35-41 DOI: 10.3788/OPE.20152313.0035.
CHENG Chu-xiong, WANG Xue-ying, CHENG Hong-wei. Real-time calculation of statistical regression atmospheric transmittance profile[J]. Editorial Office of Optics and Precision Engineering, 2015,23(10z): 35-41 DOI: 10.3788/OPE.20152313.0035.
由于仅简单地用几种典型的大气透过率来反演大纬度范围单幅遥感图像的遥感信息会产生较大的误差
本文提出了实时计算统计回归透过率廓线的方法。首先
基于非均匀大气的Curtis-Godson(CG)近似方法
建立了统计回归方程和等效光学质量计算方法;然后
以MODTRAN计算的6种大气模式的透过率廓线及其大气剖面数据为样本
计算了统计回归参数
并验证了模型精度;最后
提出了透过率天顶角修正公式
实现了斜程透过率廓线计算。仿真结果表明
透过率廓线计算平均最大误差为1.39%
单波段透过率廓线计算时间小于0.08 s。该模型与实测温湿度数据结合
可实时计算观测点的透过率廓线
不仅有效地提高了遥感图像信息反演精度
还扩大了模型的应用范围。
As many single remote sensing images have extended multiple latitudes
their remote sensing information retrieved by several simple atmospheric transmittances will generate to many big errors. To solve above problems
a real-time calculation method of statistical regression transmittance profile was proposed. Firstly
a regression prediction equation and an equivalent optical mass calculation method were established based on the Curtis-Godson(CG) approximate method of homogeneous atmosphere. Then
by taking the MODTRAN's 6 types of atmospheric transmittance profiles and the corresponding atmospheric profile data as samples
statistical regression parameters were calculated
and the model's precision was verified. Finally
a correction formula for transmittance zenith angle was presented and the slant path transmittance profile calculation was implemented. The simulation results show that the average biggest error of transmittance profile is 1.39%
and calculation time of single band is less than 0.08 s. Combined with measured data of temperature and humidity
this model can calculate the transmittance profile at the observation point in real-time
thus not only improves effectively retrieval accuracy of remote sensing image.but also expands the model's application ranges.
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