Standoff gas identification and quantification from turbulent stack plumes with an imaging Fourier-transform spectrometer

Tremblay, Pierre; Savary, Simon; Rolland, Matthias; Villemaire, André; Chamberland, Martin; Farley, Vincent; Brault, L.; Giroux, Jean; Allard, Jean-Luc; Dupuis, Eric D.; Padia, Tiarles

doi:10.1117/12.850127

Cited by 30 publications

(29 citation statements)

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“…Figure 3 depicts the physical layout of the measurement topology. For each iFOV, the infrared scene may thus be decomposed into 3 distinct contributions [2]. Starting from the instrument, these are a first atmospheric layer, the gas cloud, and the background.…”

Section: Standoff Detection Of Gasmentioning

confidence: 99%

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Standoff gas detection, identification and quantification with a thermal hyperspectral imager

Chamberland¹,

Lagueux²,

Tremblay³

et al. 2014

WIT Transactions on Ecology and the Environment

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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.

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Section: Standoff Detection Of Gasmentioning

confidence: 99%

“…Once the process of getting plume temperature and molecular concentrations (as column densities) is established for a single pixel, it is repeated for neighbouring pixels on the same row of the image in order to obtain plume profiles [2,4]. …”

Section: Plume Parametersmentioning

confidence: 99%

Standoff gas detection, identification and quantification with a thermal hyperspectral imager

Chamberland¹,

Lagueux²,

Tremblay³

et al. 2014

WIT Transactions on Ecology and the Environment

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“…This kind of algorithm uses some of filtering methods and methods for comparing the measurement results with the model ones [21]. Measurement sessions were performed in the laboratory and in the open-space conditions to practically verify the possibility of applying IFTS-type spectroradiometer for gas detection.…”

Section: Ifts Fovmentioning

confidence: 99%

Infrared Imaging Fourier Transform Spectrometer as the Stand-Off Gas Detection System

Kastek

Piątkowski²,

Trzaskawka³

2011

Metrology and Measurement Systems

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The article presents the detection of gases using an infrared imaging Fourier-transform spectrometer (IFTS). The Telops company has developed the IFTS instrument HyperCam, which is offered as a short-or long-wave infrared device. The principle of HyperCam operation and methodology of gas detection has been shown in the paper, as well as theoretical evaluation of gas detection possibility. Calculations of the optical path between the IFTS device, cloud of gases and background have been also discussed. The variation of a signal reaching the IFTS caused by the presence of a gas has been calculated and compared with the reference signal obtained without the presence of a gas in IFTS's field of view. Verification of the theoretical result has been made by laboratory measurements. Some results of the detection of various types of gases has been also included in the paper.

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“…While three spectral channels may be satisfactory for recreating an image for the human eye there are many applications for which having only the red, green and blue content of an image is insufficient (Grahn and Geladi, 2007, Tilling et al, 2006, Holma et al, 2011, Tremblay et al, 2010, Kubik, 2007. Traditionally, hyperspectral imaging is a scanning process which requires too much time to image anything but stationary objects or objects with a known regular movement relative to the hyperspectral imager.…”

Section: Introductionmentioning

confidence: 99%

An Adaptive Programmable Hyperspectral Imager

McGregor

Lacroix

Monmayrant

2015

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:An adaptive, hyperspectral imager is presented. We propose a system with easily adaptable spectral resolution, adjustable acquisition time, and high spatial resolution which is independent of spectral resolution. The system yields the possibility to define a variety of acquisition schemes, and in particular near snapshot acquisitions that may be used to measure the spectral content of given or automatically detected regions of interest. The proposed system is modelled and simulated, and tests on a first prototype validate the approach to achieve near snapshot spectral acquisitions without resorting to any computationally heavy post-processing, nor cumbersome calibration.

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Standoff gas identification and quantification from turbulent stack plumes with an imaging Fourier-transform spectrometer

Cited by 30 publications

References 0 publications

Standoff gas detection, identification and quantification with a thermal hyperspectral imager

Standoff gas detection, identification and quantification with a thermal hyperspectral imager

Infrared Imaging Fourier Transform Spectrometer as the Stand-Off Gas Detection System

An Adaptive Programmable Hyperspectral Imager

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