Dr. Pierre Lahaie Profile

Dr. Pierre Lahaie

Defence Scientist at DRDC Valcartier

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Publications (10)

Proceedings Article | 13 June 2023 Presentation + Paper

Performance assessment of the new Telops hyper-cam airborne mini

Caroline Turcotte, François Bouffard, Pierre Lahaie

Proceedings Volume 12519, 125190J (2023) https://doi.org/10.1117/12.2663358

KEYWORDS: Black bodies, Sensors, Temperature metrology, Hyperspectral imaging, Body temperature, Sulfur, Infrared radiation, Infrared imaging, Head, Gas cells

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Proceedings Article | 13 October 2014 Paper

Extraction of incident irradiance from LWIR hyperspectral imagery

Pierre Lahaie

Proceedings Volume 9250, 92500Z (2014) https://doi.org/10.1117/12.2067480

KEYWORDS: Sensors, Signal to noise ratio, Hyperspectral imaging, Atmospheric modeling, Atmospheric sensing, Computer simulations, Long wavelength infrared, Atmospheric corrections, Error analysis, Transmittance

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Proceedings Article | 16 October 2013 Paper

Standoff detection of bioaerosols over wide area using a newly developed sensor combining a cloud mapper and a spectrometric LIF lidar

Sylvie Buteau, Jean-Robert Simard, Gilles Roy, Pierre Lahaie, Denis Nadeau, Pierre Mathieu

Proceedings Volume 8901, 890109 (2013) https://doi.org/10.1117/12.2028681

KEYWORDS: Laser induced fluorescence, Clouds, Ultraviolet radiation, Sensors, Surveillance, Aerosols, LIDAR, Atmospheric particles, Standoff detection, Spectroscopy

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Proceedings Article | 16 October 2013 Paper

Evaluation of adaptive algorithms for detection and classification of fluorescent aerosols in the atmosphere

Pierre Lahaie, Jean-Robert Simard, Sylvie Buteau

Proceedings Volume 8901, 89010A (2013) https://doi.org/10.1117/12.2028680

KEYWORDS: Sensors, Signal detection, Detection and tracking algorithms, Photon counting, Interference (communication), Aerosols, Signal to noise ratio, Signal processing, Databases, Atmospheric modeling

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Proceedings Article | 13 October 2011 Paper

BioSense/SR-BioSpectra demonstrations of wide area/early warning for bioaerosol threats: program description and early test and evaluation results

Jean-Robert Simard, Sylvie Buteau, Pierre Lahaie, Pierre Mathieu, Gilles Roy, Denis Nadeau, John McFee, Jim Ho, Susan Rowsell, Nicolas Ho, François Babin, Daniel Cantin, Dave Healey, Jennifer Robinson, Scott Wood, Jack Hsu

Proceedings Volume 8189, 81890E (2011) https://doi.org/10.1117/12.894631

KEYWORDS: LIDAR, Aerosols, Laser induced fluorescence, Clouds, Calibration, Defense and security, Scattering, Atmospheric modeling, Sensors, Surveillance

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Proceedings Article | 5 May 2010 Paper

Airborne infrared-hyperspectral mapping for detection of gaseous and solid targets

E. Puckrin, C. Turcotte, P. Lahaie, D. Dubé, V. Farley, P. Lagueux, F. Marcotte, M. Chamberland

Proceedings Volume 7665, 766516 (2010) https://doi.org/10.1117/12.850304

KEYWORDS: Infrared radiation, Sensors, Infrared imaging, Target detection, Calibration, Standoff detection, Spectral resolution, Long wavelength infrared, Solids, Hyperspectral imaging

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Proceedings Article | 1 October 2009 Paper

Airborne measurements in the infrared using FTIR-based imaging hyperspectral sensors

E. Puckrin, C. Turcotte, P. Lahaie, D. Dubé, P. Lagueux, V. Farley, F. Marcotte, M. Chamberland

Proceedings Volume 7482, 74820S (2009) https://doi.org/10.1117/12.830972

KEYWORDS: Sensors, Infrared radiation, Long wavelength infrared, Infrared imaging, Hyperspectral imaging, Image sensors, Infrared sensors, Calibration, Spectral resolution, Spectroscopy

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Hyperspectral ground mapping is being used in an ever-increasing extent for numerous applications in the military, geology and environmental fields. The different regions of the electromagnetic spectrum help produce information of differing nature. The visible, near-infrared and short-wave infrared radiation (400 nm to 2.5 μm) has been mostly used to analyze reflected solar light, while the mid-wave (3 to 5 μm) and long-wave (8 to 12 μm or thermal) infrared senses the self-emission of molecules directly, enabling the acquisition of data during night time. Push-broom dispersive sensors have been typically used for airborne hyperspectral mapping. However, extending the spectral range towards the mid-wave and long-wave infrared brings performance limitations due to the self emission of the sensor itself. The Fourier-transform spectrometer technology has been extensively used in the infrared spectral range due to its high transmittance as well as throughput and multiplex advantages, thereby reducing the sensor self-emission problem. Telops has developed the Hyper-Cam, a rugged and compact infrared hyperspectral imager. The Hyper-Cam is based on the Fourier-transform technology yielding high spectral resolution and enabling high accuracy radiometric calibration. It provides passive signature measurement capability, with up to 320x256 pixels at spectral resolutions of up to 0.25 cm-1. The Hyper-Cam has been used on the ground in several field campaigns, including the demonstration of standoff chemical agent detection. More recently, the Hyper-Cam has been integrated into an airplane to provide airborne measurement capabilities. A special pointing module was designed to compensate for airplane attitude and forward motion. To our knowledge, the Hyper-Cam is the first commercial airborne hyperspectral imaging sensor based on Fourier-transform infrared technology. The first airborne measurements and some preliminary performance criteria for the Hyper-Cam are presented in this paper.

Proceedings Article | 7 May 2009 Paper

Airborne measurements in the infrared using FTIR-based imaging hyperspectral sensors

E. Puckrin, C. Turcotte, P. Lahaie, D. Dubé, V. Farley, P. Lagueux, F. Marcotte, M. Chamberland

Proceedings Volume 7324, 73240R (2009) https://doi.org/10.1117/12.828626

KEYWORDS: Sensors, Infrared radiation, Long wavelength infrared, Infrared imaging, Hyperspectral imaging, Image sensors, Infrared sensors, Calibration, Spectral resolution, Spectroscopy

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Proceedings Article | 25 October 2006 Paper

Bioaerosols laser-induced fluorescence provides specific robust signatures for standoff detection

Sylvie Buteau, Jean-Robert Simard, Bernard Déry, Gilles Roy, Pierre Lahaie, Pierre Mathieu, Jim Ho, John McFee

Proceedings Volume 6378, 637813 (2006) https://doi.org/10.1117/12.686010

KEYWORDS: Luminescence, Laser induced fluorescence, Signal detection, LIDAR, Aerosols, Sensors, Clouds, Standoff detection, Defense and security, Biological detection systems

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Proceedings Article | 31 January 2001 Paper

Calculation and simulation of atmospheric refraction effects in maritime environments

Denis Dion, Lionel Gardenal, P. Lahaie, J. Luc Forand

Proceedings Volume 4167, (2001) https://doi.org/10.1117/12.413824

KEYWORDS: Refraction, Atmospheric propagation, Target detection, Ocean optics, Transmittance, Atmospheric modeling, Sensors, Atmospheric particles, Turbulence, Magnesium

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