Littérature scientifique sur le sujet « Imagerie infrarouge multispectrale »
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Thèses sur le sujet "Imagerie infrarouge multispectrale"
Mas, Adrien. « Etude et développement de caméras infrarouge multispectrales à acquisition simultanée pour la détection de gaz ». Thesis, université Paris-Saclay, 2020. http://www.theses.fr/2020UPASP001.
Texte intégralThe accidental emission of gas in an industrial platform or the use of chemical weapons can have dramatic consequences. Bertin Technology commercialize an infrared multispectral camera using an array of uncooled detectors and called Second Sight allowing the detection of numerous gas. However, the temporal acquisition of spectral images is a limitation for a use on mobile platforms (vehicles, drones...). Therefore, the purpose of my PhD was to study several concepts of snapshot multispectral cameras using a single array of uncooled detectors. I worked on two concepts of optical architectures: a kaleidoscope-based design and a multichannel design inspired by the TOMBO architecture. The kaleidoscope-based camera can use optimally the focal plane array while having an important aperture and a great range of Fields of View. However, it has an important footprint and the implementation of the multispectral function is not obvious. By comparing, the multichannel architecture can be very compact and easily adaptable for multispectral applications but a compromise between its aperture and its Field Of View is necessary. Following these studies, the TOMBO multichannel design was chosen as the successor of the Second Sight and I could make a first demonstrator. Finally, a radiometric model was developed to compare the different cameras and I showed that the TOMBO camera could have better performances than the Second Sight thanks to its snapshot feature
Lesmanne, Emeline. « Approche photonique de la détection multispectrale ». Thesis, Université Grenoble Alpes (ComUE), 2016. http://www.theses.fr/2016GREAY097/document.
Texte intégralThis thesis investigates frequency selective surfaces as filters for infrared multispectral imaging. Frequency selective surfaces for the transmission of light are made of a metallic layer etched with periodic resonant apertures. The resonance wavelength and the filter's parameters (transmission, full width at half maximum) depend on lateral geometrical parameters, facilitating the design and integration of filters on the focal plane array of the detector. A theoretical model using the temporal coupled mode theory will be used to highlight key parameters of the physics of these structures at infrared wavelengths (λ=1-12 µm), where metals are absorbing. Radiative and absorptive loss rates will be calculated and commented. FDTD (Finite Difference Time Domain) simulations will be made and compared with the model. Furthermore, optical stacks taking into account technological constraints will be simulated and analyzed and will allow us to define an optimal optical stack, considering geometrical and material parameters (choice of optical indexes). The filters' angular tolerance will be considered
Akhloufi, Moulay Abdellatif. « Reconnaissance des visages par imagerie multispectrale : du visible à l'infrarouge lointain ». Thesis, Université Laval, 2013. http://www.theses.ulaval.ca/2013/29370/29370.pdf.
Texte intégralPronti, Lucilla. « Multispectral imaging of painting : potentialities and limitations of the technique in relation with the chemical and optical proprierties of the pictorial materials ». Thesis, Avignon, 2016. http://www.theses.fr/2016AVIG0262/document.
Texte intégralThis thesis focus on the application of multispectral images for the analysis of pictorial materials in comparison with the traditional UV-fluorescence photography and infrared reflectography. The assessment of multispectral imaging for the study of pictorial materials was supported by other analytical techniques such as reflectance and fluorescence spectroscopy, X-Ray Fluorescence (XRF), UV-visible absorption spectroscopy and Total Attenuated Reflectance - Fourier Transform Infrared Spectroscopy (ATR-FTIR). The multispectral imaging was tested on swatches of pictorial layers (constituted by ancient and modern pigment), binders (egg and linseed oil) and natural varnishes. For the organic materials, accelerated ageing methods (photo-chemical and thermal degradation) were used to model the optical and chemical changes occurring during the lifetime of a painting. In addition, a diagnostic investigation was performed on two paintings placed in "Accademia di San Luca" (Rome) by means of UV-fluorescence photography, radiography, reflectance spectroscopy, X-ray fluorescence spectroscopy, UV-VIS-NIR multispectral imaging. Multispectral images, comparing to traditional techniques, permit to individuate specific spectral behaviors, and, in some cases, identify the pigment and/or non-homogeneous areas of the pictorial or varnish layers. The possibility to select some infrared wavelengths allows to see details of the preparatory layers, leading to a more accurate analysis of the technique of execution. However, the limitations of multispectral images for the identification of complex mixtures and/or different layers of materials depending on the type of filter used
Vincent, Grégory. « Réseaux métalliques sub-longueur d'onde, applications à l'optique infrarouge ». Phd thesis, Université Paris Sud - Paris XI, 2008. http://tel.archives-ouvertes.fr/tel-00433294.
Texte intégralSakat, Émilie. « Structures métal-diélectriques à résonance de mode guidé et applications au filtrage et à l'imagerie infrarouge ». Palaiseau, Ecole polytechnique, 2013. http://pastel.archives-ouvertes.fr/pastel-00840623.
Texte intégralNanotechnologies have reached a maturity level that allows designing, with high confidence level, functionalized components for complex optical systems. In this context, this work addresses the issue of spectral filtering. I proposed a new design of filter based on the combination of a dielectric waveguide and on a subwavelength metallic grating. In a first time, I fabricated and characterized structures based on this design (with one dimensional 1D or two dimensional 2D geometries). I analyzed in detail the resonance mechanism and I studied the properties of these structures in terms of spectral tunability, polarization behavior, rejection efficiency and angular tolerance. Then, I proposed derivatives of these components with improved rejection efficiency and angular tolerance. Secondarly, I used various derivatives of these components to address angular filtering or multispectral imaging applications. For the latter, a 24-filter matrix has been optimized and integrated inside an infrared multispectral camera for CO2 sensing. Difficulties related to its real use conditions are highlighted and solutions are proposed to improve our results, already promising
Sakat, Emilie. « Structures m étal-di électriques à r ésonance de mode guid é et applications au filtrage et à l'imagerie infrarouge ». Phd thesis, Ecole Polytechnique X, 2013. http://pastel.archives-ouvertes.fr/pastel-00840623.
Texte intégralRivière, Annise. « Granulométrie d'un liquide dispersé par explosif ». Electronic Thesis or Diss., Ecole nationale des Mines d'Albi-Carmaux, 2024. http://www.theses.fr/2024EMAC0003.
Texte intégralAs part of its studies on detonation, the CEA at Gramat is interested in the dispersion of liquids in air, with high speed/energy constraints and multi-scale aspects. Measuring the particle size of the dispersed liquid is attracting a great deal of interest, but is proving complex because no commercial solution can be used under these particular conditions. However, under these conditions and given the impossibility of using laser sources in a pyrotechnic environment, no commercial solution is available. For this thesis, a new granulometry identification method was developed, based on a measurement known as "extinction", which is particularly easy to deploy and robust in harsh environments. This is a multispectral approach (measurement with cameras or a spectrometer) using a regularised inversion method in the sense of Tikhonov, based on the measure of spectral transmissions and which makes it possible to reconstruct the granulometry of the latter a posteriori using the Beer-Lambert law combined with the Mie model. Given the complexity of the phenomena involved in using explosives for dispersion, the method developed was tested on liquid dispersions reproduced on a small scale on sprays. The general method was developed by exploiting spectral information from controlled water sprays confined in an enclosure placed in a Fourier transform infrared spectrometer (high resolution). However, as this equipment is poorly suited to field conditions, the measurement method was downgraded by using cameras that allow "low resolution" but faster measurements. The use of an infrared camera operating in the 2-5 µm spectral band with spectral filters and a flat black body was therefore tested to monitor changes in spray particle size as a function of time. This method was subsequently applied to water dispersions using explosives, with promising results. The complete measurement and analysis process was therefore validated at each stage of the study
Virlet, Nicolas. « Phénotypage haut débit par imagerie multispectrale au verger : étude du déterminisme génétique de la réponse à la contrainte hydrique d'une population d'hybrides de pommier (Malus x domestica Borkh.) ». Thesis, Montpellier, SupAgro, 2014. http://www.theses.fr/2014NSAM0021/document.
Texte intégralIn the context of foreseen climate changes and higher evaporative demand in crops, this PhD work is aiming at assessing the apple tree variability in response to hydric constraints. This could be of great interest for future breeding programs in this species, either in respect to temporary abiotic stress tolerance, or looking at a better water use efficiency. Phenotyping methods presently available for evaluating the plant response to hydric constraints do not allow the high-throughput that could be compatible with simultaneous comparison of a high number of individuals. As a consequence, this thesis focused on the application of airborne multispectral imagery as a tool for high-throughput field phenotyping, and it assessed the relevancy of this method for quantitative analysis of response to drought and further dissection of associated genetic determinisms. Trials were realized on a segregating hybrid apple population (Starkrimson x Granny Smith cross), 4-year old at the beginning of study, installed in the South of France. Images acquired in visible, near infrared and thermal infrared, with a spatial resolution close to 30cm, were the calculation basis of various vegetation and stress indices, allowing estimation of individual tree vigor and transpiration. Linear mixed models taking account of six flight dates, covering two acquisition campaigns and including two contrasted irrigation regimes over the apple population, made it possible to highlight the heritability of phenotypic indices and to perform numerous QTLs mapping. Eighteen QTLs were revealed independently from the acquisition date. Out of this QTLs set, a further analysis on 4 of them, which were adaptative i.e. expressed in stress conditions, allowed first identification of putative candidate genes potentially involved in the early stomatal closure
Maire, Florian. « Détection et classification de cibles multispectrales dans l'infrarouge ». Electronic Thesis or Diss., Evry, Institut national des télécommunications, 2014. http://www.theses.fr/2014TELE0007.
Texte intégralSurveillance systems should be able to detect potential threats far ahead in order to put forward a defence strategy. In this context, detection and recognition methods making use of multispectral infrared images should cope with low resolution signals and handle both spectral and spatial variability of the targets. We introduce in this PhD thesis a novel statistical methodology to perform aircraft detection and classification which take into account these constraints. We first propose an anomaly detection method designed for multispectral images, which combines a spectral likelihood measure and a level set study of the image Mahalanobis transform. This technique allows to identify images which feature an anomaly without any prior knowledge on the target. In a second time, these images are used as realizations of a statistical model in which the observations are described as random spectral and spatial deformation of prototype shapes. The model inference, and in particular the prototype shape estimation, is achieved through a novel unsupervised sequential learning algorithm designed for missing data models. This model allows to propose a classification algorithm based on maximum a posteriori probability Promising results in detection as well as in classification, justify the growing interest surrounding the development of multispectral imaging devices. These methods have also allowed us to identify the optimal infrared spectral band regroupments regarding the low resolution aircraft IRS detection and classification