Iterative approach for gas detection and identification

Yoav Feinmesser, Stanley R. Rotman

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

3 Scopus citations

Abstract

An iterative algorithm which identifies the presence of different gases throughout a hyperspectral cube was developed and tested. The algorithm uses the "stepwise regression" method combined with new methods of detection and identification in the hyperspectral cube's analysis. This algorithm begins with a library of gas signatures; an initial fit is done with all the gases. The algorithm then eliminates those signatures which do not noticeably improve the fit to the measured signature. A necessary post-processing step eliminates gases which are not uniquely fit to the signature of the examined pixel.

Original languageEnglish
Title of host publication2010 IEEE 26th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2010
Pages73-76
Number of pages4
DOIs
StatePublished - 1 Dec 2010
Event2010 IEEE 26th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2010 - Eilat, Israel
Duration: 17 Nov 201020 Nov 2010

Publication series

Name2010 IEEE 26th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2010

Conference

Conference2010 IEEE 26th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2010
Country/TerritoryIsrael
CityEilat
Period17/11/1020/11/10

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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