Mr. Simon A. Roy Profile

Simon A. Roy

Student at Univ Laval

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Proceedings Article | 12 September 2007 Paper

State-of-the-art imaging Fourier-transform spectrometer with CCD camera

Jérôme Genest, Simon Roy, Patrick Dubois, Simon Potvin

Proceedings Volume 6661, 666106 (2007) https://doi.org/10.1117/12.738965

KEYWORDS: Cameras, Spectral calibration, Calibration, CCD cameras, Fourier transforms, Interferometers, Spectroscopy, Electronics, Metrology, Staring arrays

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Imaging Fourier-transform spectrometers can quickly produce massive amounts of raw data, especially when paired with large focal plane arrays. As the spatial resolution is increased, overwhelming amounts of data must be managed properly. A suitable design of the data processing chain is thus required to minimize the dataload and deliver processed information in real-time. This paper reviews the work being done to tailor data processing pipelines for Fourier-transform spectrometers (FTS) coupled with externally triggered CCD cameras. Various sampling techniques as well as spectral calibration and line shape correction approaches will be reviewed. Since traditional sampling techniques are not well suited for an FTS operating with a CCD camera, a hybrid time-position sampling approach is presented to reduce the number of samples per pixel. Furthermore, the approach enables a sampling jitter correction algorithm that can account for velocity fluctuations and channel delays, such as the CCD integration time. A fast spectral calibration approach is also demonstrated, based on a rapid line shape integration scheme. The calibration algorithm brings all pixel spectra on the same spectral grid and allows the user to directly compare spectral features between pixels. Moreover, the correction method offers software field-widening capabilities by binning pixels after spectral calibration. A large single-pixel detector can thus be emulated from the CCD array, allowing the user to broaden the field of view and to increase the SNR.

Proceedings Article | 30 March 2004 Paper

An operational fluorescence system for crop assessment

Charles Belzile, Marie-Christine Belanger, Alain Viau, Martin Chamberland, Simon Roy

Proceedings Volume 5271, (2004) https://doi.org/10.1117/12.519183

KEYWORDS: Luminescence, Fluorometers, Light sources, Signal detection, Sensors, Lamps, Imaging systems, Global Positioning System, Ultraviolet radiation, Linear filtering

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The development of precision farming requires new tools for plant nutritional stress monitoring. An operational fluorescence system has been designed for vegetation status mapping and stress detection at plant and field scale. The instrument gives relative values of fluorescence at different wavelengths induced by the two-excitation sources. Lightinduced fluorescence has demonstrated successful crop health monitoring and plant nutritional stress detection capabilities. The spectral response of the plants has first been measured with an hyperspectral imager using laser-induced fluorescence. A tabletop imaging fluorometer based on flash lamp technology has also been designed to study the spatial distribution of fluorescence on plant leaves. For field based non-imaging system, LED technology is used as light source to induce fluorescence of the plant. The operational fluorescence system is based on ultraviolet and blue LED to induce fluorescence. Four narrow fluorescence bands centered on 440, 520, 690 and 740nm are detected. The instrument design includes a modular approach for light source and detector. It can accommodate as many as four different light sources and six bands of fluorescence detection. As part of the design for field application, the instrument is compatible with a mobile platform equipped with a GPS and data acquisition system. The current system developed by Telops/GAAP is configured for potato crops fluorescence measurement but can easily be adapted for other crops. This new instrument offers an effective and affordable solution for precision farming.

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