Standoff Gas Detection, Identification
And Quantification With A Thermal
Hyperspectral Imager
Author(s)
M. Chamberland, P. Lagueux, P. Tremblay, S. Savary,
M.-A. Gagnon, M. Kastek, T. Piątkowski & R. Dulski
Abstract
This paper presents detection and identification of gases using an infrared
imaging Fourier-Transform Spectrometer (iFTS). The company Telops has
developed an iFTS instrument, the Hyper-Cam, which is offered as a medium or
long wave infrared sensor. The principle of operation of the spectrometer and the
methodology for standoff gas detection and identification is shown in the paper.
The algorithm for gas detection and identification is also shown. The gas
detection and identification algorithm is generally based on three key factors:
the composition of the analysed pixel, the type of model used to estimate the
variability of the target and background spaces, and the model used to describe
the pure and mixed pixels. The equation modelling the signal reaching the iFTS
caused by the presence of a gas is presented and used with the reference signal
obtained without the presence of a gas in iFTS’ field of view. Some results of the
detection and identification of various types of gases are included in the paper
along with quantification of detected gases.
Keywords: standoff gas detection, hyperspectral imaging, remote gas
quantification, thermal hyperspectral imager.
Keywords
standoff gas detection, hyperspectral imaging, remote gas
quantification, thermal hyperspectral imager.
Related Book
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