Iterative approach for gas detection and identification

Yoav Feinmesser; Stanley R. Rotman

doi:10.1109/EEEI.2010.5661922

Iterative approach for gas detection and identification

Yoav Feinmesser
, Stanley R. Rotman

Department of Electrical & Computer Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-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 language	English
Title of host publication	2010 IEEE 26th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2010
Pages	73-76
Number of pages	4
DOIs	https://doi.org/10.1109/EEEI.2010.5661922
State	Published - 1 Dec 2010
Event	2010 IEEE 26th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2010 - Eilat, Israel Duration: 17 Nov 2010 → 20 Nov 2010

Publication series

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

Conference

Conference	2010 IEEE 26th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2010
Country/Territory	Israel
City	Eilat
Period	17/11/10 → 20/11/10

ASJC Scopus subject areas

Electrical and Electronic Engineering

Access to Document

10.1109/EEEI.2010.5661922

Cite this

@inproceedings{e9aae650a04c4126a0965045347ff237,

title = "Iterative approach for gas detection and identification",

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.",

author = "Yoav Feinmesser and Rotman, \{Stanley R.\}",

year = "2010",

month = dec,

day = "1",

doi = "10.1109/EEEI.2010.5661922",

language = "English",

isbn = "9781424486809",

series = "2010 IEEE 26th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2010",

pages = "73--76",

booktitle = "2010 IEEE 26th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2010",

note = "2010 IEEE 26th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2010 ; Conference date: 17-11-2010 Through 20-11-2010",

}

Feinmesser, Y & Rotman, SR 2010, Iterative approach for gas detection and identification. in 2010 IEEE 26th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2010., 5661922, 2010 IEEE 26th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2010, pp. 73-76, 2010 IEEE 26th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2010, Eilat, Israel, 17/11/10. https://doi.org/10.1109/EEEI.2010.5661922

Iterative approach for gas detection and identification. / Feinmesser, Yoav; Rotman, Stanley R.
2010 IEEE 26th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2010. 2010. p. 73-76 5661922 (2010 IEEE 26th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2010).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Rotman, Stanley R.

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AB - 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.

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

T2 - 2010 IEEE 26th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2010

Y2 - 17 November 2010 through 20 November 2010

ER -

Iterative approach for gas detection and identification

Abstract

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