Detection and identification of effluent gases by long wave infrared (LWIR) hyperspectral images

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Scopus citations

Abstract

Results will be presented concerning the development of an algorithm for the detection, identification and relative quantification of effluent gases emitted in industrial plume stacks using an LWIR hyperspectral remote sensing system. The technique consists of several steps, which are initialized by the localization of critical wavelengths in the spectral signatures and then their integration into an algorithm for the detection of high concentrated gas pixels in the image cube using a correlation coefficient metric. Further mapping of low concentrated pixels is carried out by an iterative Matched Filter (MF) method. Following the mapping of all the gases in the image cube, a least squares method was applied to derive gas content. The algorithm was tested on data cubes acquired in the bay of Haifa with chimneys emitting SO2 and CO 2 gases from distances of 400 and 1700m away; good results were obtained.

Original languageEnglish
Title of host publication2008 IEEE 25th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2008
Pages413-417
Number of pages5
DOIs
StatePublished - 1 Dec 2008
Event2008 IEEE 25th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2008 - Eilat, Israel
Duration: 3 Dec 20085 Dec 2008

Publication series

NameIEEE Convention of Electrical and Electronics Engineers in Israel, Proceedings

Conference

Conference2008 IEEE 25th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2008
Country/TerritoryIsrael
CityEilat
Period3/12/085/12/08

Keywords

  • Classification
  • Gas
  • Hyperspectral
  • LWIR

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