Abstract:A technique of analysis for RS-FTIR (Remote Sensing Fourier Transform Infrared) spectrum was built based on the principle of calibration transfer. A system of four-component gas mixtures, whose FTIR spectra were overlapped seriously, was determined as the object in the present research. Its FTIR data from EPA and field measurement were used to set up calibration and prediction models, respectively. With OSC (orthogonal signal correction), the model built with data of EPA predicted values of field measurement. The RMSEP values of acetone, methanol, benzene and chloroform were 0.008 5, 0.018 0, 0.064 0 and 0.002 8, respectively, while without OSC correction the corresponding values were 0.085 6, 0.047 9, 1.065 3 and 0.014 2, respectively. With optimization, the Kennard-Stone method was used for subset selection, and the iteration in the process of OSC was carried out 3 times, yielding the best performance. The result indicates that this technique can overcome the limitation of background and calibration model, which restricts the application of RS-FTIR in air monitoring.
Key words:Orthogonal signal correction;Calibration transfer;Spectrum interpretation
张琳,张黎明,李燕*,胡兰萍,王俊德 . 模型传递用于解析遥感傅里叶变换红外谱图[J]. 光谱学与光谱分析, 2006, 26(09): 1614-1617.
ZHANG Lin, ZHANG Li-ming, LI Yan*, HU Lan-ping, WANG Jun-de . Calibration Transfer Used for the Interpretation of RS-FTIR Spectrum . SPECTROSCOPY AND SPECTRAL ANALYSIS, 2006, 26(09): 1614-1617.
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