Linear variable filter optimization for emergency response chemical detection and discrimination

Sylvia S. Shen; Paul E. Lewis

doi:10.1117/12.861975

13 August 2010 Linear variable filter optimization for emergency response chemical detection and discrimination

Sylvia S. Shen, Paul E. Lewis

Proceedings Volume 7812, Imaging Spectrometry XV; 78120U (2010) https://doi.org/10.1117/12.861975
Event: SPIE Optical Engineering + Applications, 2010, San Diego, California, United States

Abstract

Linear variable filter design and fabrication for LWIR is now commercially available for use in the development of remote sensing systems. The linear variable filter is attached directly to the cold shield of the focal plane array. The resulting compact spectrometer assemblies are completely contained in the Dewar system. This approach eliminates many of the wavelength calibration problems associated with current prism and grating systems and also facilitates the cost effective design and fabrication of aerial sensing systems for specific applications. This paper describes a study that was conducted with the following three objectives: 1) Determine if a multi-channel linear-variable-filter-based line scanner system can be used to discriminate a set of chemical vapors that represent a high probability of occurrence during a typical emergency response chemical incident; 2) Determine which multi-channel linear variable filter design is optimal; and 3) Determine the acceptable instrument noise equivalent spectral radiance for this application. A companion paper describes a separate study that was conducted to determine the concentration levels at which detection and discrimination can be achieved for the various chemicals based on the optimal filter design under various degrees of imperfect atmospheric correction.

Citation Download Citation

Sylvia S. Shen and Paul E. Lewis "Linear variable filter optimization for emergency response chemical detection and discrimination", Proc. SPIE 7812, Imaging Spectrometry XV, 78120U (13 August 2010); https://doi.org/10.1117/12.861975

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KEYWORDS

Absorption

Linear filtering

Chemical analysis

Optical filters

Scanners

Detection and tracking algorithms

Atmospheric modeling

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