傅里叶变换红外光谱仪遥测污染云团的吸收光谱算法

遥感傅里叶变换红外光谱技术因其具有对污染源作无干扰监测、多组分的同时连续测定、区域性或大范围地区的测量等优点,因而已广泛的应用于遥感测量技术。利用傅里叶变换红外(FTIR)光谱仪远距离探测目标,根据探测的目标源是否充满光谱仪的视场,建立了三种辐射模型。在所建立模型的基础上,选用了D&P公司生产的便携式Model-101型傅里叶变换红外光谱仪,实时探测目标云团和背景,运用差谱法和发射光谱法对探测结果进行了光谱分析,进而得到了扣除背景影响后的目标云团吸收光谱。给出了相应的仿真实验结果示例。实验结果表明,由差谱法得到的结果准确度较好。

Algorithm of absorption spectrum for remote sensing on gaseous contaminant by FTIR spectrometer

Fourier transform infrared technology has been widely used for remote sensing,which can monitor the target without disturbing,measure different elements at the same time and in large-scale.Because of the advantages of the technology,FTIR spectrometer has been developed for remote sensing.For remote sensing on the target,the three radiant models are established according to whether the target is full of eye field.Based on the three models,a portable FTIR spectrometer developed by D&P is used for detecting target(cloud and background)on real-time.The detecting results with different spectrum algorithm and spectral emissive algorithm are analyzed,and the absorption spectrum of the cloud without background is obtained.The results of the experiments are given,and it indicates that different spectrum algorithm is more accurate than spectral emissive algorithm.