Predicting detection probabilities for gas mixtures over HSI backgrounds

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Description

Detecting and identifying weak gaseous plumes using thermal image data acquired by airborne detectors is an area of ongoing research. This contribution investigates the relative detectability of gas mixtures over different backgrounds and a range of plume temperatures that are warmer and cooler than the ground. The focus of this analysis to support mission planning. When the mission is intended to collect evidence of particular chemicals, the analysis presented is this report can be used to determine conditions under which useful data can be acquired. Initial analyses can be used to determine whether LWIR is useful for the anticipated gas, ... continued below

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Tardiff, Mark F.; Walsh, Stephen J.; Anderson, Kevin K. & Chilton, Lawrence December 29, 2009.

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Description

Detecting and identifying weak gaseous plumes using thermal image data acquired by airborne detectors is an area of ongoing research. This contribution investigates the relative detectability of gas mixtures over different backgrounds and a range of plume temperatures that are warmer and cooler than the ground. The focus of this analysis to support mission planning. When the mission is intended to collect evidence of particular chemicals, the analysis presented is this report can be used to determine conditions under which useful data can be acquired. Initial analyses can be used to determine whether LWIR is useful for the anticipated gas, temperature, and background combination.

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  • Report No.: PNNL-19069
  • Grant Number: AC05-76RL01830
  • DOI: 10.2172/1000179 | External Link
  • Office of Scientific & Technical Information Report Number: 1000179
  • Archival Resource Key: ark:/67531/metadc833819

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  • December 29, 2009

Added to The UNT Digital Library

  • May 19, 2016, 3:16 p.m.

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  • Dec. 6, 2016, 4:16 p.m.

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Tardiff, Mark F.; Walsh, Stephen J.; Anderson, Kevin K. & Chilton, Lawrence. Predicting detection probabilities for gas mixtures over HSI backgrounds, report, December 29, 2009; Richland, Washington. (digital.library.unt.edu/ark:/67531/metadc833819/: accessed August 19, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.