Improved FTIR open-path remote sensing data reduction technique

William Phillips; Rick Moyers; Lori T. Lay

doi:10.1117/12.210811

31 May 1995 Improved FTIR open-path remote sensing data reduction technique

William Phillips, Rick Moyers, Lori T. Lay

Proceedings Volume 2365, Optical Sensing for Environmental and Process Monitoring; (1995) https://doi.org/10.1117/12.210811
Event: Optical Sensing for Environmental and Process Monitoring, 1994, McLean, VA, United States

Abstract

Progress on the developement of a nonlinear curve fitting computer algorithm for data reduction of optical remote sensing Fourier transform spectrometer (FTS) data is presented. This new algorithm is an adaptation of an existing algorithm employed at the Arnold Engineering Development Center for the analysis of infrared plume signature and optical gas diagnostic data on rocket and turbine engine exhaust. Because it is a nonlinear model, the algorithm can be used to determine parameters not readily determined by linear methods such as classical least squares. Unlike linear methods this procedure can simultaneously determine atmospheric gas concetrations, spectral resolution, spectral shift, and the background or (I^o(omega) spectrum. Additionally, species which possess spectra that are strongly masked by atmospheric absorption features such as BTX can also be incorporated into the procedure. The basic theory behind the algorithm is presented as well as test results on FTS data and synthetic data containing benzene and toluene spectral features.

Citation Download Citation

William Phillips, Rick Moyers, and Lori T. Lay "Improved FTIR open-path remote sensing data reduction technique", Proc. SPIE 2365, Optical Sensing for Environmental and Process Monitoring, (31 May 1995); https://doi.org/10.1117/12.210811

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