10 February 1995 Chemical vapor detection and mapping with a multispectral forward-looking infrared (FLIR)
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Proceedings Volume 2366, Optical Instrumentation for Gas Emissions Monitoring and Atmospheric Measurements; (1995); doi: 10.1117/12.205550
Event: Optical Sensing for Environmental and Process Monitoring, 1994, McLean, VA, United States
Abstract
Detection of chemical vapors with a remote sensor is a requirement for both military defense and civilian pollution control. The FLIR is a natural instrument from which to build a chemical sensor since most chemical vapors of interest are spectrally active within its operating wavelength range, it is widely distributed in the battlefield, and it is becoming a standard surveillance tool in police departments. Additionally, the output image provides a 2D concentration map of the cloud which is easily interpreted by a lightly trained operator. A system has been designed to provide the spectral sensitivity in a dedicated instrument or to place a chemical detection capability as an adjunct function in a military thermal imager. In the latter case an additional detector array which is spectrally filtered at the focal plane is added to the imager. Real-time autonomous detection and alarm is a military requirement and is desired for commercial use. A detection system model based on a Gaussian vapor concentration distribution has been the basis for detection algorithms. Image processing and analysis methods have been based upon information theory. These techniques extract the cloud image from a clutter scene and perform a limited vapor classification. These methods are suited to hyperspectral imagery.
© (1995) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Mark L.G. Althouse, Chein-I Chang, "Chemical vapor detection and mapping with a multispectral forward-looking infrared (FLIR)", Proc. SPIE 2366, Optical Instrumentation for Gas Emissions Monitoring and Atmospheric Measurements, (10 February 1995); doi: 10.1117/12.205550; https://doi.org/10.1117/12.205550
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KEYWORDS
Forward looking infrared

Optical filters

Clouds

Sensors

Detection and tracking algorithms

Remote sensing

Binary data

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