Band selection for gas detection in hyperspectral images

Paz Kuflik, Stanley R. Rotman

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

11 Scopus citations

Abstract

The objective of this work is to find the minimal number of spectral bands needed to detect a specific gas in a hyperspectral cube, in order to develop a hyperspectral gas sensor in the future. In the framework of the research, a band selection method is developed in order to correctly detect a specific gas, using few of the hundreds of spectral bands available in the data. It shows that for a synthetic cube, using a correlation matrix built only from non-gas pixels, the detection improves as more spectral bands are in use, but with relatively few bands we still get good detection.

Original languageEnglish
Title of host publication2012 IEEE 27th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2012
DOIs
StatePublished - 1 Dec 2012
Event2012 IEEE 27th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2012 - Eilat, Israel
Duration: 14 Nov 201217 Nov 2012

Publication series

Name2012 IEEE 27th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2012

Conference

Conference2012 IEEE 27th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2012
Country/TerritoryIsrael
CityEilat
Period14/11/1217/11/12

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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