Chemical vapor deiection and mapping with a mulispectral FLIR

Mark L.G. Althouse, Chein I. Chang

Research output: Contribution to journalConference articlepeer-review

5 Citations (Scopus)

Abstract

Detection of chemical vapors with a remote sensor is a requirement for both military defense and civilian pollution control. The FEIR 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.

Original languageEnglish
Pages (from-to)108-114
Number of pages7
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume2366
DOIs
Publication statusPublished - 1995 Feb 10
EventOptical Instrumentation for Gas Emissions Monitoring and Atmospheric Measurements 1994 - McLean, United States
Duration: 1994 Nov 61994 Nov 10

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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