Conference proceeding
Infrared detection and analysis of vapor plumes using an airborne sensor
Proceedings of SPIE, Vol.4725(1), pp.47-64
Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery VIII
08/01/2002
DOI: 10.1117/12.478784
Abstract
An airborne infrared (IR) line-scanner and a Fourier transform infrared (FT-IR) spectrometer operating in the 3- 5micrometers and 8-12micrometers spectral regions provide a rapid wide- area surveillance capability. The IR scene containing target vapors is mapped remotely with the wide fields of view (FOV) multi-spectral IR line-scanner using 14 bands. The narrow FOV FT-IR spectrometer permits remote verification of target vapor plume contents within the IR scene. The IR image and FT-IR interferogram analysis supply a near real-time detection that provides visual monitoring of potential downwind vapor hazards. This capability is demonstrated using the target vapor methanol. An active mono-static FT-IR configuration furnishes ground-truth monitoring for methanol released from an industrial stack and a nearby ground-level area. The airborne and ground-truth results demonstrate the usefulness of this approach in alerting first responders to potential downwind vapor hazards from an accidental release.
Details
- Title: Subtitle
- Infrared detection and analysis of vapor plumes using an airborne sensor
- Creators
- Mark J Thomas - U.S. EPA Region VII (USA)Paul E Lewis - National Imagery and Mapping Agency (USA)Robert T Kroutil - U.S. Army Edgewood Chemical Biological Ctr. (USA)Roger J Combs - ITT Industries, Inc. (USA)Gary W Small - Ohio Univ. (USA)Randall W Zywicki - Raytheon TI Defense (USA)Dale L Stageberg - Raytheon TI Defense (USA)Charles T Chaffin Jr - AeroSurvey, Inc. (USA)Timothy L Marshall - AeroSurvey, Inc. (USA)
- Resource Type
- Conference proceeding
- Publication Details
- Proceedings of SPIE, Vol.4725(1), pp.47-64
- Conference
- Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery VIII
- DOI
- 10.1117/12.478784
- ISSN
- 0277-786X
- Language
- English
- Date published
- 08/01/2002
- Academic Unit
- Chemistry
- Record Identifier
- 9984216711002771
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