Academic literature on the topic 'Imagerie IR'

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Journal articles on the topic "Imagerie IR":

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Loye, Dominique. "Rendre le signe distinctif visible dans l'infrarouge thermique." Revue Internationale de la Croix-Rouge 79, no. 824 (April 1997): 212–16. http://dx.doi.org/10.1017/s0035336100059098.

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Depuis de nombreuses années, les forces armées développent de nouveaux moyens d'observation afin d'augmenter leur capacité de mener le combat à toute heure et par tous les temps. Plusieurs forces armées se sont ainsi équipées de caméras à imagerie thermique (IR) qui permettent de reconnaître et de détecter des personnes et des objets non seulement de nuit, mais aussi de jour, même quand la visibilité est restreinte (comme, par exemple, à travers la fumée, le feuillage ou la pluie légère).
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Kamiya, K., T. Fuse, and M. Takahashi. "APPLICABILITY EVALUATION OF OBJECT DETECTION METHOD TO SATELLITE AND AERIAL IMAGERIES." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B7 (June 21, 2016): 229–34. http://dx.doi.org/10.5194/isprs-archives-xli-b7-229-2016.

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Since satellite and aerial imageries are recently widely spread and frequently observed, combination of them are expected to complement spatial and temporal resolution each other. One of the prospective applications is traffic monitoring, where objects of interest, or vehicles, need to be recognized automatically. Techniques that employ <i>object detection</i> before <i>object recognition</i> can save a computational time and cost, and thus take a significant role. However, there is not enough knowledge whether object detection method can perform well on satellite and aerial imageries. In addition, it also has to be studied how characteristics of satellite and aerial imageries affect the object detection performance. This study employ binarized normed gradients (BING) method that runs significantly fast and is robust to rotation and noise. For our experiments, 11-bits BGR-IR satellite imageries from WorldView-3, and BGR-color aerial imageries are used respectively, and we create thousands of ground truth samples. We conducted several experiments to compare the performances with different images, to verify whether combination of different resolution images improved the performance, and to analyze the applicability of mixing satellite and aerial imageries. The results showed that infrared band had little effect on the detection rate, that 11-bit images performed less than 8-bit images and that the better spatial resolution brought the better performance. Another result might imply that mixing higher and lower resolution images for training dataset could help detection performance. Furthermore, we found that aerial images improved the detection performance on satellite images.
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Kamiya, K., T. Fuse, and M. Takahashi. "APPLICABILITY EVALUATION OF OBJECT DETECTION METHOD TO SATELLITE AND AERIAL IMAGERIES." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B7 (June 21, 2016): 229–34. http://dx.doi.org/10.5194/isprsarchives-xli-b7-229-2016.

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Since satellite and aerial imageries are recently widely spread and frequently observed, combination of them are expected to complement spatial and temporal resolution each other. One of the prospective applications is traffic monitoring, where objects of interest, or vehicles, need to be recognized automatically. Techniques that employ &lt;i&gt;object detection&lt;/i&gt; before &lt;i&gt;object recognition&lt;/i&gt; can save a computational time and cost, and thus take a significant role. However, there is not enough knowledge whether object detection method can perform well on satellite and aerial imageries. In addition, it also has to be studied how characteristics of satellite and aerial imageries affect the object detection performance. This study employ binarized normed gradients (BING) method that runs significantly fast and is robust to rotation and noise. For our experiments, 11-bits BGR-IR satellite imageries from WorldView-3, and BGR-color aerial imageries are used respectively, and we create thousands of ground truth samples. We conducted several experiments to compare the performances with different images, to verify whether combination of different resolution images improved the performance, and to analyze the applicability of mixing satellite and aerial imageries. The results showed that infrared band had little effect on the detection rate, that 11-bit images performed less than 8-bit images and that the better spatial resolution brought the better performance. Another result might imply that mixing higher and lower resolution images for training dataset could help detection performance. Furthermore, we found that aerial images improved the detection performance on satellite images.
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Lloyd, James, and Magda Marczak. "Imagery rescripting and negative self-imagery in social anxiety disorder: a systematic literature review." Behavioural and Cognitive Psychotherapy 50, no. 3 (February 28, 2022): 280–97. http://dx.doi.org/10.1017/s135246582200008x.

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AbstractBackground:Imagery rescripting (IR) is an effective intervention for social anxiety disorder (SAD) that targets memories of distressing formative events linked to negative self-imagery (NSI). IR is thought to update unhelpful schema by addressing the needs of the younger self within the memory. An accumulating body of evidence indicates that by modifying NSI, IR can significantly affect distressing imagery, memory appraisal, and beliefs about the self.Aims:This systematic review aims to critically evaluate and synthesise literature investigating the existing research on the effects IR has on NSI in SAD.Method:A systematic electronic search of Academic Search Complete, ProQuest, Medline, Scopus and PubMed was performed in February 2021 using pre-defined criteria. Ten studies met the inclusion criteria and were selected for review.Results:Analysis of the reviewed articles’ findings identified three main themes: Changes to negative self-images, Memories linked to images and Encapsulated beliefs. IR was associated with significant decreases in image distress, image vividness, memory vividness, memory distress, and encapsulated beliefs. Although reductions were found with image frequency, they were non-significant. Interpretation of results is limited by the small number of studies.Conclusions:IR appears to effectively alter images, memories and beliefs in SAD in as little as a single session. The findings indicate that IR could be utilised as a cost-effective intervention for SAD. However, additional studies and longer-term follow-ups are needed.
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PORCÚ, F., and V. LEVIZZANI. "Cloud classification using METEOSAT VIS-IR imagery." International Journal of Remote Sensing 13, no. 5 (March 1992): 893–909. http://dx.doi.org/10.1080/01431169208904162.

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Liu, Chunguang, Jiancheng Shi, Tianxing Wang, Kirpa Ram, and Tianjie Zhao. "Mathematical Assessment of the Effects of Substituting the Band Radiative Transfer Equation (RTE) for the Spectral RTE in the Applications of Earth’s Surface Temperature Retrievals from Spaceborne Infrared Imageries." Remote Sensing 11, no. 3 (January 22, 2019): 226. http://dx.doi.org/10.3390/rs11030226.

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The Planck’s thermal emission function, the reflectivity-emissivity decoupled Kirchhoff’s law and the associated atmospheric radiative transfer equation (RTE) is a theoretical base for Earth surface temperature (ST) retrievals from spaceborne infrared imageries. The infrared (IR) instruments generally collect band averaged radiance which are usually different from the RT codes simulated spectral one. Although IR band RTE is widely used, the effects of substituting the band-averaged RTE for the corresponding spectral one for those broadband observations (e.g., the Moderate Resolution Imaging Spectroradiometer (MODIS) thermal IR bands) have not been evaluated. In this paper, mathematical analysis and numerical experiments have been conducted to clarify the uncertainties arising from this substitution treatment. Firstly, we present the IR spectral RTE in a concise manner, and then, based on the law of conservation of energy and the integral assumption, a detailed mathematical derivation of the commonly-used IR band RTE has been derived. The significant improvement of the derivation is the validation of the integral assumption, which states that over a small spectral region, the integral of a product is approximately equal to the product of integrals. In the IR spectral region, taking the most significant term of the IR band RTE as an example (i.e., the surface emission term), we confirmed that, for the satellite collected IR signals emitted from the Earth’s surface, over any bandwidth at any band-location and under any instrument spectral response function (SRF), the integral approximation (IA) is a well-founded approximation and thus the IR band RTEs are good approximations for the corresponding spectral ones. Furthermore, in the ST, especially the land ST, product validation investigations, the ST errors introduced by the substituting treatment are negligible and do not need to be taken into consideration.
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Takanashi, Rieko, Naoki Yoshinaga, Keiko Oshiro, Satoshi Matsuki, Mari Tanaka, Hanae Ibuki, Fumiyo Oshima, Yuko Urao, Daisuke Matsuzawa, and Eiji Shimizu. "Patients’ perspectives on imagery rescripting for aversive memories in social anxiety disorder." Behavioural and Cognitive Psychotherapy 48, no. 2 (September 17, 2019): 229–42. http://dx.doi.org/10.1017/s1352465819000493.

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AbstractBackground:Imagery rescripting (IR) for early aversive memories in patients with social anxiety disorder (SAD) has shown promising results, but no study has investigated the reactions and perspectives of patients who received IR.Aims:This study aimed to gain understanding of patients’ experiences/perspectives on IR as an adjunct to cognitive behavioural therapy (CBT) for SAD.Method:Twenty-five individuals with SAD received one or two sessions of IR over 16 CBT sessions. Contents of recurrent images and linked memories were identified during IR. Outcome measures included social anxiety, image and memory distress and vividness, and encapsulated belief. Patients completed a questionnaire about their perspectives of IR after the session. Thematic analysis was used to analyse the qualitative data.Results:IR resulted in significant within-session improvement in most outcome measures. Linked memories to negative recurrent images in social situations were categorized into nine groups. Common memories were ‘Being criticized by others’, ‘Being made fun of’, ‘Failing or not doing something well’ and ‘Being left out in a group’. Most patients (82%) experienced IR as impressive, and more than half of patients (59%) found IR effective. Themes of reasons of impressiveness and effectiveness were categorized as ‘Results of IR session’ and ‘Processes of IR session’. The theme ‘Results of IR session’ included six subthemes, and the theme ‘Processes of the IR session’ included five subthemes.Conclusions:Regarding patients’ perspectives, although they may experience negative emotions in the process of an IR session, our results suggest that many patients with SAD found IR sessions effective.
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Collin, A., D. James, A. Mury, M. Letard, and B. Guillot. "PREDICTING THE INFRARED UAV IMAGERY OVER THE COAST." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B1-2021 (June 28, 2021): 149–56. http://dx.doi.org/10.5194/isprs-archives-xliii-b1-2021-149-2021.

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Abstract. The infrared (IR) imagery provides additional information to the visible (red-green-blue, RGB) about vegetation, soil, water, mineral, or temperature, and has become essential for various disciplines, such as geology, hydrology, ecology, archeology, meteorology or geography. The integration of the IR sensors, ranging from near-IR (NIR) to thermal-IR through mid-IR, constitutes a baseline for Earth Observation satellites but not for unmanned airborne vehicles (UAV). Given the hyperspatial and hypertemporal characteristics associated with the UAV survey, it is relevant to benefit from the IR waveband in addition to the visible imagery for mapping purposes. This paper proposes to predict the NIR reflectance from RGB digital number predictors collected with a consumer-grade UAV over a structurally and compositionally complex coastal area. An array of 15 000 data, distributed into calibration, validation and test datasets across 15 representative coastal habitats, was used to build and compare the performance of the standard least squares, decision tree, boosted tree, bootstrap forest and fully connected neural network (NN) models. The NN family surpassed the four other ones, and the best NN model (R2 = 0.67) integrated two hidden layers provided, each, with five nodes of hyperbolic tangent and five nodes of Gaussian activation functions. This perceptron enabled to produce a NIR reflectance spatially-explicit model deprived of original artifacts due to the flight constraints. At the habitat scale, sedimentary and dry vegetation environments were satisfactorily predicted (R2 > 0.6), contrary to the healthy vegetation (R2 < 0.2). Those innovative findings will be useful for scientists and managers tasked with hyperspatial and hypertemporal mapping.
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Solnyshkin, A. V., G. Suchaneck, I. L. Kislova, and G. Gerlach. "Modeling of a Pyroelectric Thin Film IR Imager." Ferroelectrics 353, no. 1 (May 18, 2007): 225–32. http://dx.doi.org/10.1080/00150190701368182.

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Coustenis, Athena. "Titan's amosphere and surface from IR spectroscopy and imagery." Advances in Space Research 19, no. 8 (January 1997): 1288. http://dx.doi.org/10.1016/s0273-1177(97)83127-4.

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Dissertations / Theses on the topic "Imagerie IR":

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Ogunleke, Abiodun. "Imagerie chimique 3D de tumeurs du cerveau." Thesis, Bordeaux, 2019. http://www.theses.fr/2019BORD0040/document.

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L'histologie tridimensionnelle (3D) est un nouvel outil avancé de cancérologie. L'ensemble du profil chimique et des caractéristiques physiologiques d'un tissu est essentiel pour comprendre la logique du développement d'une pathologie. Cependant, il n'existe aucune technique analytique, in vivo ou histologique, capable de découvrir de telles caractéristiques anormales et de fournir une distribution3D à une résolution microscopique. Nous présentons ici une méthode unique de microscopie infrarouge (IR) à haut débit combinant une correction d'image automatisée et une analyse ultérieure des données spectrales pour la reconstruction d'image 3D-IR. Nous avons effectué l'analyse spectrale d'un organe complet pour un petit modèle animal, un cerveau de souris avec une tumeur de gliome implantée. L'image 3D-IR est reconstruite à partir de 370 coupes de tissus consécutives et corrigée à l'aide du tomogramme à rayons X de l'organe pour une analyse quantitative précise du contenu chimique. Une matrice 3D de spectres IR 89 x 106 est générée, ce qui nous permet de séparer la masse tumorale des tissus cérébraux sains en fonction de divers paramètres anatomiques,chimiques et métaboliques. Nous démontrons pour la première fois que des paramètres métaboliques quantitatifs (glucose, glycogène et lactate) peuvent être extraits et reconstruits en 3D à partir des spectres IR pour la caractérisation du métabolisme cérébral / tumoral (évaluation de l'effet de Warburg dans les tumeurs). Notre méthode peut être davantage exploitée en recherchant l'ensemble du profil spectral, en distinguant différents points de repère anatomiques dans le cerveau.Nous le démontrons par la reconstruction du corps calleux et de la région des noyaux gris centraux du cerveau
Three-dimensional (3D) histology is a new advanced tool for cancerology. The whole chemical profile and physiological characteristics of a tissue is essential to understand the rationale of pathology development. However, there is no analytical technique, in vivo or histological, that is able to discover such abnormal features and provide a 3D distribution at microscopic resolution.Here, we introduce a unique high- throughput infrared (IR) microscopy method that combines automated image correction and subsequent spectral data analysis for 3D-IR image reconstruction. I performed spectral analysis of a complete organ for a small animal model, a mouse brain with animplanted glioma tumor. The 3D-IR image is reconstructed from 370 consecutive tissue sectionsand corrected using the X-ray tomogram of the organ for an accurate quantitative analysis of thechemical content. A 3D matrix of 89 x 106 IR spectra is generated, allowing us to separate the tumor mass from healthy brain tissues based on various anatomical, chemical, and metabolic parameters. I demonstrate for the first time that quantitative metabolic parameters (glucose, glycogen and lactate) can be extracted and reconstructed in 3D from the IR spectra for the characterization of the brain vs. tumor metabolism (assessing the Warburg effect in tumors). Our method can be further exploited by searching for the whole spectral profile, discriminating different anatomical landmarks in the brain. I demonstrate this by the reconstruction of the corpus callosum and basal ganglia region of the brain
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N'Doume, Claude Thierry. "Traitement de l'imagerie meteosat IR pour l'observation des aérosols désertiques au-dessus de l'Afrique : optimisation, validation et application à l'établissement des distributions spatio-temporelles." Lille 1, 1993. http://www.theses.fr/1993LIL10146.

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Krause, Kevin. "Caractérisation infrarouge operando des électrolyseurs à membrane électrolytique polymère pour la séparation de l'eau." Electronic Thesis or Diss., Bordeaux, 2024. http://www.theses.fr/2024BORD0022.

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Les électrolyseurs à électrolyte polymère (PEM), employés dans le processus d'électrolyse de l'eau, ont une utilisation limitée due au manque de connaissances des phénomènes physiques en jeu, notamment au niveau de la membrane utilisée pour séparer l'eau. La compréhension des mécanismes de transfert de masse et d'ions au sein de cette membrane est essentielle pour améliorer le rendement de ces systèmes. Ainsi, l'objectif de cette thèse est de développer une technique de caractérisation basée sur l'imagerie afin de mieux comprendre les phénomènes de transport dans la membrane d'une PEM. Le déroulement de cette thèse est organisé en deux parties.Dans la première partie de la thèse, une plateforme d'imagerie basée sur la spectroscopie infrarouge (IR) à transformée de Fourier (FTIR) et sur la thermographie IR est présentée. Le dispositif expérimental a été développé et utilisé pour étudier deux réactions acide-base exothermiques dans un canal microfluidique. Le champ de concentration 2D imagé permet de quantifier simultanément le transport de chaleur et de masse dans le canal microfluidique. Les résultats expérimentaux ont été utilisés pour valider une simulation du phénomène de diffusion-advection-réaction. Ces premiers résultats ont permis de montrer la viabilité du banc expérimental pour la caractérisation du transfert de masse dans une puce microfluidique.Dans la deuxième partie de la thèse, une PEM microfluidique a été spécifiquement développée afin de mesurer la teneur en eau dans la membrane via une technique de spectroscopie par transmission dans la gamme IR. Dans un premier temps, un dispositif de spectroscopie FTIR synchrotron a été utilisé pour étudier le processus de séchage et d'hydratation de la membrane. L'électrolyseur PEM microfluidique a ensuite été caractérisé sur une plateforme d’imagerie qui combine la spectroscopie IR et les mesures électrochimiques. Les cartographies 2D obtenues grâce à cette technique permettent de quantifier l'hydratation de la membrane sur une surface. La combinaison des images et des mesures électrochimiques a permis d'établir le lien entre les performances, les pertes ohmiques et le transport de masse dans la membrane. Les résultats de cette thèse montrent le potentiel des techniques IR basées sur la transmission pour comprendre les mécanismes de transport dans les PEM microfluidiques en fonctionnement. Ces techniques IR sans contact pourraient être utilisées pour quantifier d'autres phénomènes tels que la traînée électro- ou thermo-osmotique
Understanding and improving mass and ionic transport mechanisms within the membrane used in polymer electrolyte membrane (PEM) water splitting electrolyzers is vital for achieving improved efficiencies that would enable the use of water electrolysis in sustainable energy infrastructures. A better understanding of mass and ion transport within the PEM are essential to achieving the improved performance and efficiencies necessary for wide-scale commercialization of these devices. The work from this thesis aims to improve characterization methods for measuring PEM hydration using an operating microfluidic PEM electrolysis chip coupled with operando infrared (IR) spectroscopy. This development of this thesis is organized through two parts.In part one and prior to the development of the microfluidic electrolyzer, the experimental setup for IR characterization via Fourier transform infrared spectroscopy (FTIR) and IR thermography was developed. This setup was tested through a microfluidic chip designed for semi-transparency in mid-wave IR light. Two exothermic acid-base reactions were imaged in the chip to simultaneously quantify heat and mass transport in the microfluidic channel. Concentration fields of each chemical species and thermal fields of the chemical reactions were resolved from the acquired IR images. Experimental results were used to validate an advection diffusion simulation of the chemical reaction within a meshed replica of the microfluidic chip, for which there was a strong agreement between the results from each dataset.In part two, the methods from part one were honed for the fabrication of the first microfluidic PEM water electrolyzer for transmission-based IR characterization. The water content within the PEM of the microfluidic water electrolyzer was characterized through two operando IR spectroscopy setups. The first IR experimental setup utilized a synchrotron FTIR spectroscopy setup, where the water content of the PEM was quantified using IR for the first time, albeit only at a single point. The second microfluidic PEM electrolyzer setup used a broadband IR source combined with other techniques to distinguish contributions from ohmic, kinetic, and mass transport losses while acquiring IR images. Images were acquired during potentiostatic operation for a range of anolyte concentrations. Electrochemical impedance spectroscopy (EIS) and distribution of relaxation times (DRT) unveiled that higher anolyte concentrations were accompanied by reduced ohmic losses but higher kinetic and mass transport losses. The higher mass transport losses were investigated through images averaged over comparable time scales to EIS and DRT results, and implied that inefficient gas removal occurred at the cathode. These effects were further investigated through the PEM hydration (λ_(H_2 O)) via three characteristic regions where the adjacent channels were either wet, dry, or a mix of both. The local channel wetness was observed to strongly affect the PEM’s hydration through gradients that manifested between cathode and anode channels.Results from this thesis show the potential of transmission-based IR techniques for elucidating transport mechanisms in PEMs of operating microfluidic electrolyzers. Implementing layers that are traditionally implemented in fuel cells and electrolyzers for gas-liquid management into the microfluidic PEM electrolyzer could greatly improve results obtained from the presented methods. Consequently, IR techniques could potentially be used to achieve the contactless quantification of phenomena such as electro- or thermo-osmotic drag. The findings in this thesis provide valuable insights for membrane characterization in electrochemical devices with integrated PEMs, and will inform the next generation of electrolyzer design
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Benard, Audrey. "IR imaging in breast cancer: from histopathological recognition to characterization of tumour microenvironment." Doctoral thesis, Universite Libre de Bruxelles, 2012. http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/209682.

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Breast cancer is a global public health problem since it is the most frequently diagnosed cancer in women in Western countries. Clinical guidelines for breast cancer prognosis/diagnosis are currently based on tumour size, histological type and grade, lymph node status as well as the expression of various cellular receptors. Yet, current predictions remain unsatisfactory to identify the best treatment for the individual patient. The search for identifying new predictive and prognostic factors is ongoing. Furthermore, compelling evidences have solidified the notion that the evolving epithelial cells, founders of the breast disease, are helped in their malignant course by the tumour microenvironment. Better characterizing the dual effect of the immune regulation but also the epithelial-stromal cross-talk on both tumour-promotion and -suppression is essential for understanding patient uniqueness and their implication in disease outcome. Because of its potential to probe tissues and cells at the molecular level without requirement for extrinsic contrast agents, infrared spectroscopy was seen as an attractive tool for clinical and diagnostic analysis in order to complement the existing methods.

In a first step, recording and processing methodology had to be defined in order to optimally compare IR spectra. The methodology developed and the analysis tools tested on carcinoma cell lines, demonstrated that spectra could be distinguished based on the cell line phenotypic nature.

The potential of IR imaging for breast tissular structure differentiation was highlighted in this thesis, demonstrating that spectral signature can be correlated with the major histological cell types observed in breast disease tissues. In order to develop a robust algorithm translating spectral data into helpful histopathological information, a spectral database of histologically well-defined breast tissues was built and used for the development of a cell type classifier. This latter one was extensively validated on independent clinical cases. Firstly, the IR-based histopathological classifier correctly assigned spectra acquired on eleven breast disease samples based on their histological nature. Secondly, lymphocyte and Collagen & Fibroblasts spectral signatures were demonstrated to be independent from tissue type and organ since, although trained on reference spectra recorded into breast disease samples, the cell type classifier correctly assigned spectra acquired on lymph nodes/tonsils and scar tissues respectively. Thirdly, we concluded that spectroscopically, breast carcinoma cell lines in culture are well-suited tumour models since spectra acquired on these carcinoma cell lines were correctly recognized as epithelium by the IR-based histological classifier.

By spectral characterizing lymphocytes from lymph nodes and tonsils, we demonstrated that the spectra acquired contained enough information to statistically discriminate them according to their lymphocyte activation states. Although considered as activated, the breast disease lymphoid infiltrates were found to present distinct spectral signature from lymphocytes acquired on activated lymph nodes and tonsils. Furthermore, tumour microenvironment, characterized by IR-imaging was demonstrated to exhibit a distinct spectral signature from wound healing tissues. These studies proved the uniqueness of the signature of both lymphoid infiltrate and tumour microenvironment in breast disease context. Correlating these specific spectral signatures to patient outcome and therapeutics response could help better consider the uniqueness of the patient. In a last step, considering the epithelial signature of carcinomas of both low and high grades, we demonstrated that the biochemical information reflected in the IR micro-spectra was clinically relevant for grading purpose.

Le cancer du sein est le cancer le plus fréquemment diagnostiqué chez les femmes dans les pays occidentaux. Jusqu’à peu, les cellules épithéliales tumorales étaient vues comme les seuls acteurs de la carcinogenèse ;processus se déroulant dans un milieu extracellulaire considéré au pire comme passif ou permissif à l’évolution tumorale des cellules épithéliales adjacentes. Cependant, de nombreuses études ont montré que ce microenvironnement tumoral pouvait soit promouvoir le processus de carcinogenèse soit le combattre empêchant par la même, l’occurrence de la maladie.

Ce projet de thèse s’inscrit dans une problématique actuelle, à savoir une meilleure compréhension de la maladie mais également une prise en charge plus individualisée des patientes. Nous abordons ici une voie de recherche novatrice basée sur la signature globale des molécules cellulaires via leur spectre infrarouge. La technologie utilisée, à savoir la spectroscopie infrarouge, nous fournit une observation quantitative et qualitative de milliers de vibrations moléculaires. L’adaptation de réseaux de plusieurs milliers de détecteurs indépendants aux microscopes infrarouges permet, grâce aux méthodes statistiques multivariées, d’investiguer l’architecture macromoléculaire des cellules au sein d’une coupe tissulaire et de corréler les informations spectrales ainsi obtenues à l’histopathologie des tissus. Par cette technologie, nous visons à mettre au point un outil diagnostique et pronostique pour le cancer du sein basé sur l’imagerie IR.

Durant ce projet, nous avons montré que les différents types cellulaires observés dans les carcinomes mammaires pouvaient être distingués par le biais de leur spectre IR, qu’un modèle de reconnaissance histologique pouvait être construit, validé et surtout automatisé et que ce modèle pouvait être transposé à l’étude d’autres tissus (ganglions, amygdales et cicatrices) et d’autres types d’échantillons (cellules épithéliales en culture). Nous avons également montré que les spectres de cellules épithéliales pouvaient être corrélés au grade histopathologique de la tumeur. Les spectres acquis de ganglions/amygdales ont montré que les profils spectraux pouvaient être corrélés à l’état d’activation lymphocytaire. De plus, l’étude de l’état d’activation lymphocytaire et fibroblastique a permis de mettre en avant un profil spectral propre et bien distinct des infiltrats lymphocytaires d’une part et de la matrice extracellulaire aux abords des tumeurs invasives d’autre part.


Doctorat en Sciences agronomiques et ingénierie biologique
info:eu-repo/semantics/nonPublished

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Bu, Lulu. "Synthesis of NIR Dyes and Nanoparticles for in vivo Bioimaging and Dicyanovinyl Dyes for Primary Amine Detection." Thesis, Lyon, 2020. http://www.theses.fr/2020LYSEN086.

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L’imagerie de fluorescence et l'imagerie photo-acoustique (PA) sont deux outils puissants pour la visualisation des tissus et organes biologiques de manière non invasive. Toutefois, ces technologies sont actuellement limitées par le manque d'agents de contraste efficaces. Utiliser des longueurs d’onde de domaine du proche infrarouge (NIR, 650-900 nm), dont l'absorption et la diffusion dans les organismes est relativement faible, permet une imagerie in vivo plus profonde, induit moins d’auto-fluorescence et apporte un bon rapport signal/bruit. Par conséquent, la conception et la synthèse de nouveaux colorants organiques NIR efficaces revêt une importance fondamentale pour l’imagerie de fluorescence ou photo-acoustique. L'encapsulation de colorants organiques dans des nanoparticules dispersibles dans l'eau présente un grand potentiel en imagerie bio-optique, offrant les avantages d'une haute luminosité, d'une bonne photo-stabilité, d'une excellente biocompatibilité et d'une capacité potentielle de ciblage, etc. Notre objectif principal dans cette thèse est de synthétiser de nouvelles molécules organiques pouvant servir d’agents de contraste pour l'imagerie in vivo par fluorescence ou PA
Fluorescence and photoacoustic (PA) imaging are both powerful tools for visualization of biological tissues and organs in non-invasive ways. However, these technologies are limited by the lack of efficient contrast agents. NIR light (650-900 nm) with relatively low absorption and scattering in organisms allows for deeper in vivo imaging, lower auto-fluorescence as well as a good signal to noise ratio. Hence, design and synthesis of efficient NIR organic dyes are of great significance for fluorescence or PA bio-imaging. Meanwhile, encapsulation of organic dyes in nanoparticles dispersible in water present great potential in bio-optical imaging, offering the advantages of high brightness, good photo-stability, excellent biocompatibility and potential targeting ability, etc. Our main goal in this thesis is to synthesize novel organic contrast agents for in vivo fluorescence or PA imaging
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Chausse, Eric. "Test et modélisation de détecteurs infrarouges microbolométriques à température ambiante." Grenoble INPG, 2000. http://www.theses.fr/2000INPG0021.

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Cette etude montre la faisabilite de detecteurs infrarouges non refroidis pouvant etre produits a faible cout. L'emploi d'une filiere silicium et d'une technologie monolithique sont des conditions sine qua non pour atteindre l'objectif de faible cout de fabrication. Une large diffusion peut ainsi etre envisagee, en particulier, pour la surveillance industrielle et l'aide a la conduite automobile. Le principe du bolometre consiste a mesurer l'echauffement du rayonnement infrarouge. La variation de conductivite d'un thermometre en silicium amorphe place sur un micro-pont pour renforcer l'isolation thermique permet ensuite de transcrire le signal sous forme electrique. L'emploi d'une cavite quart d'onde et l'utilisation des electrodes de lecture du thermometre comme absorbeur d'onde ameliorer l'efficacite des dispositifs. Le silicium amorphe est choisi comme thermometre pour satisfaire la contrainte ab initio de faible cout. Le silicium est obtenu par lpcvd dope bore afin de garder une temperature de depot basse et aussi un faible niveau de bruit electrique. L'etude du silicium amorphe permet d'obtenir des dispositifs optimises en conciliant une forte activation thermique de la conductivite et une forte conductivite avec un faible bruit. Un fort dopage bore (2%) abaisse la temperature de croissance de la couche et incorpore peu d'hydrogene. La presence de polluants tels que oxygene, azote et carbone est aussi prise en compte. Ce materiau montre de la metastabilite comme decrit dans la litterature mais aussi de l'originalite par des effets irreversibles induits par les traitements thermiques. La derive irreversible sous recuit est etudiee a travers des caracterisations physiques et electriques. En particulier, le role de l'hydrogene est pris en consideration. Les detecteurs obtenus ont actuellement des performances de niveau mondial. Le netd est de 100 mk, ce qui permet d'envisager de l'imagerie infrarouge au moyen des composants actuellement produits.
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Huijts, Julius. "Broadband Coherent X-ray Diffractive Imaging and Developments towards a High Repetition Rate mid-IR Driven keV High Harmonic Source." Thesis, Université Paris-Saclay (ComUE), 2019. http://www.theses.fr/2019SACLS154/document.

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Des sources des rayons XUV (1-100 nm) sont des outils extraordinaires pour sonder la dynamique à l’échelle nanométrique avec une résolution femto- voire attoseconde. La génération d’harmoniques d’ordre élevé (GH) est une des sources majeures dans ce domaine d’application. La GH est un processus dans lequel une impulsion laser infrarouge femtoseconde est convertie, de manière cohérente, en fréquences élevées dans le domaine EUV par interaction hautement non-linéaire dans un atome, une molécule et plus récemment, dans un cristal. La GH possède une excellente cohérence spatiale qui a permis de réaliser des démonstrations impressionnantes en imagerie sans lentille. Pour accroître le potentiel de ces sources, des défis sont à relever : leur brillance et énergie de photon maximum doivent augmenter et les techniques d’imagerie sans lentille doivent être modifiées pour être compatibles avec l’importante largeur spectrale des impulsions attosecondes émise par ces sources. Cette thèse présente une nouvelle approche dans laquelle des figures de diffraction large bande, i.e. potentiellement attosecondes, sont rendues monochromatiques numériquement. Cette méthode est basée uniquement sur la mesure du spectre de la source et la supposition d’un échantillon spatialement non-dispersif. Cette approche a été validée tout d’abord dans le visible, à partir d’un supercontinuum. L’échantillon binaire est reconstruit par recouvrement de phase pour une largeur spectrale de 11 %, là où les algorithmes usuels divergent. Les simulations numériques montrent aussi que la méthode de monochromatisation peut être appliquée au domaine des rayons X, avec comme exemple un masque semi-conducteur utilisé en de lithographie EUV. Bien que la brillance « cohérente » de la source actuelle (qui progresse) reste insuffisante, une application sur l’inspection de masques sur source Compton est proposée. Dans une extension de ces simulations un masque de lithographie étendu est reconstruit par ptychographie, démontrant la versatilité à d’autres techniques d’imagerie sans lentille. Nous avons également entamé une série d’expérience dans le domaine des X-durs sur source synchrotron. Les figures de diffraction après monochromatisation numérique semblent prometteuses mais l’analyse des données demandent des efforts supplémentaires. Une partie importante de cette thèse est dédiée à l’extension des sources harmoniques à des brillances et énergies de photon plus élevées. Ce travail exploratoire permettrait la réalisation d’une source harmonique compacte pompée par un laser OPCPA dans le moyen infrarouge à très fort taux de répétition. Les longueurs d’onde moyen infrarouge (3.1 μm dans ce travail de thèse) sont favorables à l’extension des énergies des photons au keV et aux impulsions attosecondes. Le but est de pouvoir couvrir les seuils d’absorption X et d’améliorer la résolution spatio-temporelle. Cependant, deux facteurs rendent cette démonstration difficile: le nombre de photons par impulsion de la source OPCPA est très limité et la réponse du dipôle harmonique à grande longueur est extrêmement faible. Pour relever ces défis plusieurs configurations expérimentales sont explorées : génération dans un jet de gaz ; génération dans une cellule de gaz ; compression solitonique et la génération d’harmoniques combinées dans une fibre à cristal photonique ; compression solitonique dans une fibre à cristal photonique et génération d’harmoniques dans une cellule de gaz. Les premiers résultats expérimentaux sur la compression solitonique jusqu’à 26 femtosecondes et des harmoniques basses jusqu’à l’ordre sept sont présentésEn résumé, ces résultats représentent une avancée vers l’imagerie nanométrique attoseconde sans lentille basée sur des algorithmes « large bande » innovants et une extension des capacités de nouvelles sources harmoniques ‘table-top’ au keV pompées par laser OPCPA
Soft X-ray sources based on high harmonic generation are up to now unique tools to probe dynamics in matter on femto- to attosecond timescales. High harmonic generation is a process in which an intense femtosecond laser pulse is frequency upconverted to the UV and soft X-ray region through a highly nonlinear interaction in a gas. Thanks to their excellent spatial coherence, they can be used for lensless imaging, which has already led to impressive results. To use these sources to the fullest of their potential, a number of challenges needs to be met: their brightness and maximum photon energy need to be increased and the lensless imaging techniques need to be modified to cope with the large bandwidth of these sources. For the latter, a novel approach is presented, in which broadband diffraction patterns are rendered monochromatic through a numerical treatment based solely on the spectrum and the assumption of a spatially non-dispersive sample. This approach is validated through a broadband lensless imaging experiment on a supercontinuum source in the visible, in which a binary sample was properly reconstructed through phase retrieval for a source bandwidth of 11 %. Through simulations, the numerical monochromatization method is shown to work for hard X-rays as well, with a simplified semiconductor lithography mask as sample. A potential application of lithography mask inspection on an inverse Compton scattering source is proposed, although the conclusion of the analysis is that the current source lacks brightness for the proposal to be realistic. Simulations with sufficient brightness show that the sample is well reconstructed up to 10 % spectral bandwidth at 8 keV. In an extension of these simulations, an extended lithography mask sample is reconstructed through ptychography, showing that the monochromatization method can be applied in combination with different lensless imaging techniques. Through two synchrotron experiments an experimental validation with hard X-rays was attempted, of which the resulting diffraction patterns after numerical monochromatization look promising. The phase retrieval process and data treatment however require additional efforts.An important part of the thesis is dedicated to the extension of high harmonic sources to higher photon energies and increased brightness. This exploratory work is performed towards the realization of a compact high harmonic source on a high repetition rate mid-IR OPCPA laser system, which sustains higher average power and longer wavelengths compared to ubiquitous Ti:Sapphire laser systems. High repetition rates are desirable for numerous applications involving the study of rare events. The use of mid-IR wavelengths (3.1 μm in this work) promises extension of the generated photon energies to the kilo-electronvolt level, allowing shorter pulses, covering more X-ray absorption edges and improving the attainable spatial resolution for imaging. However, high repetition rates come with low pulse energies, which constrains the generation process. The generation with longer wavelengths is challenging due to the significantly lower dipole response of the gas. To cope with these challenges a number of experimental configurations is explored theoretically and experimentally: free-focusing in a gas-jet; free-focusing in a gas cell; soliton compression and high harmonic generation combined in a photonic crystal fiber; separated soliton compression in a photonic crystal fiber and high harmonic generation in a gas cell. First results on soliton compression down to 26 fs and lower harmonics up to the seventh order are presented.Together, these results represent a step towards ultrafast lensless X-ray imaging on table-top sources and towards an extension of the capabilities of these sources
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Belmerhnia, Leïla. "Approches parcimonieuses pour la sélection de variables et la classification : application à la spectroscopie IR de déchets de bois." Electronic Thesis or Diss., Université de Lorraine, 2017. http://www.theses.fr/2017LORR0039.

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Le présent travail de thèse se propose de développer des techniques innovantes pour l'automatisation de tri de déchets de bois. L'idée est de combiner les techniques de spectrométrie proche-infra-rouge à des méthodes robustes de traitement de données pour la classification. Après avoir exposé le contexte du travail dans le premier chapitre, un état de l'art sur la classification de données spectrales est présenté dans le chapitre 2. Le troisième chapitre traite du problème de sélection de variables par des approches parcimonieuses. En particulier nous proposons d'étendre quelques méthodes gloutonnes pour l'approximation parcimonieuse simultanée. Les simulations réalisées pour l'approximation d'une matrice d'observations montrent l'intérêt des approches proposées. Dans le quatrième chapitre, nous développons des méthodes de sélection de variables basées sur la représentation parcimonieuse simultanée et régularisée, afin d'augmenter les performances du classifieur SVM pour la classification des spectres IR ainsi que des images hyperspectrales de déchets de bois. Enfin, nous présentons dans le dernier chapitre les améliorations apportées aux systèmes de tri de bois existants. Les résultats des tests réalisés avec logiciel de traitement mis en place, montrent qu'un gain considérable peut être atteint en termes de quantités de bois recyclées
In this thesis, innovative techniques for sorting wood wastes are developed. The idea is to combine infrared spectrometry techniques with robust data processing methods for classification task. After exposing the context of the work in the first chapter, a state of the art on the spectral data classification is presented in the chapter 2. The third chapter deals with variable selection problem using sparse approaches. In particular we propose to extend some greedy methods for the simultaneous sparse approximation. The simulations performed for the approximation of an observation matrix validate the advantages of the proposed approaches. In the fourth chapter, we develop variable selection methods based on simultaneous sparse and regularized representation, to increase the performances of SVM classifier for the classification of NIR spectra and hyperspectral images of wood wastes. In the final chapter, we present the improvements made to the existing sorting systems. The results of the conducted tests using the processing software confirm that significant benefits can be achieved in terms of recycled wood quantities
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Belmerhnia, Leïla. "Approches parcimonieuses pour la sélection de variables et la classification : application à la spectroscopie IR de déchets de bois." Thesis, Université de Lorraine, 2017. http://www.theses.fr/2017LORR0039/document.

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Le présent travail de thèse se propose de développer des techniques innovantes pour l'automatisation de tri de déchets de bois. L'idée est de combiner les techniques de spectrométrie proche-infra-rouge à des méthodes robustes de traitement de données pour la classification. Après avoir exposé le contexte du travail dans le premier chapitre, un état de l'art sur la classification de données spectrales est présenté dans le chapitre 2. Le troisième chapitre traite du problème de sélection de variables par des approches parcimonieuses. En particulier nous proposons d'étendre quelques méthodes gloutonnes pour l'approximation parcimonieuse simultanée. Les simulations réalisées pour l'approximation d'une matrice d'observations montrent l'intérêt des approches proposées. Dans le quatrième chapitre, nous développons des méthodes de sélection de variables basées sur la représentation parcimonieuse simultanée et régularisée, afin d'augmenter les performances du classifieur SVM pour la classification des spectres IR ainsi que des images hyperspectrales de déchets de bois. Enfin, nous présentons dans le dernier chapitre les améliorations apportées aux systèmes de tri de bois existants. Les résultats des tests réalisés avec logiciel de traitement mis en place, montrent qu'un gain considérable peut être atteint en termes de quantités de bois recyclées
In this thesis, innovative techniques for sorting wood wastes are developed. The idea is to combine infrared spectrometry techniques with robust data processing methods for classification task. After exposing the context of the work in the first chapter, a state of the art on the spectral data classification is presented in the chapter 2. The third chapter deals with variable selection problem using sparse approaches. In particular we propose to extend some greedy methods for the simultaneous sparse approximation. The simulations performed for the approximation of an observation matrix validate the advantages of the proposed approaches. In the fourth chapter, we develop variable selection methods based on simultaneous sparse and regularized representation, to increase the performances of SVM classifier for the classification of NIR spectra and hyperspectral images of wood wastes. In the final chapter, we present the improvements made to the existing sorting systems. The results of the conducted tests using the processing software confirm that significant benefits can be achieved in terms of recycled wood quantities
10

Petay, Margaux. "Multimodal and multiscale analysis of complex biomaterials : optimization and constraints of infrared nanospectroscopy measurements." Electronic Thesis or Diss., université Paris-Saclay, 2023. http://www.theses.fr/2023UPASF092.

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Dans le domaine du biomédical, l'étude des changements physico-chimiques induits par une pathologie au sein des tissus, à l'échelle cellulaire, peut être cruciale pour élucider les mécanismes à l'origine de ce phénomène. Toutefois, seules quelques techniques d'analyse permettent une description chimique à cette échelle. La nanospectroscopie infrarouge, en particulier l'AFM-IR (Microscopie à Force Atomique-Infrarouge) est prometteuse en permettant une description chimique des matériaux à l'échelle nanométrique. Actuellement, l'AFM-IR est souvent utilisée pour l'étude des cellules et micro-organismes, mais très peu pour l'étude des tissus biologiques en raison de la complexité de ces derniers. Pourtant, de nombreuses applications pourraient bénéficier d'une telle description, comme l'étude des phénomènes de minéralisation dans les tissus mammaires. Les microcalcifications mammaires (MCMs) sont des dépôts calciques anormaux (oxalates ou phosphates de calcium) et dont la composition est, dans la littérature, présumée associée à la nature des lésions : cancéreuses ou non. Malgré la multiplication des recherches sur le sujet au cours des dix dernières années, les processus de formation de ces MCMs et leur lien avec les pathologies et notamment les cancers du sein restent mal compris. Dans ce contexte, une description chimique des MCMs à l'échelle nanométrique pourrait fournir un nouvel éclairage et aider à la compréhension de leur genèse. Les biopsies mammaires (typiquement quelques millimètres à quelques centimètres) contiennent généralement plusieurs MCMs avec une forte dispersion en taille, de quelques centaines de nanomètres à un millimètre. Une stratégie de caractérisation multi-échelle est donc nécessaire pour décrire chimiquement l'entièreté de l'échantillon mais également accéder à une description fine des MCMs. Une approche multimodale et multi-échelle a ainsi été mise en place. Celle-ci permet d'étudier les propriétés morphologiques des MCMs en utilisant la microscopie électronique à balayage, ainsi que leurs propriétés chimiques à l'échelle micrométrique et nanométrique grâce à la microscopie et nanospectroscopie IR (e.g., AFM-IR). Bien que l'étude d'objets inorganiques et cristallins au sein d'une matrice organique par AFM-IR soit complexe, en raison des fortes variations locales des propriétés optiques et mécaniques au sein de ces matériaux hybrides, nous avons réussi à caractériser par AFM-IR des dépôts calciques au sein de tissus biologiques. La mise en œuvre d'une telle approche comporte plusieurs défis, tant d'un point de vue méthodologique qu'expérimental, notamment pour la préparation des échantillons, au cours des mesures, du traitement et de la gestion des données générées, ainsi que de leur interprétation. Tous ces aspects seront détaillés et des solutions proposées illustrant ainsi les capacités de l'AFM-IR pour l'étude des biomatériaux complexes
In the biomedical field, understanding the physicochemical changes at the cellular level in tissues can be crucial for unraveling the mechanisms of pathological phenomena. However, the number of techniques providing chemical descriptions at the cellular/molecular level is limited. Infrared (IR) nanospectroscopy techniques, particularly AFM-IR (Atomic Force Microscopy-infrared), are promising as they offer materials' chemical descriptions at the nanometer scale. Up to now, AFM-IR is mainly used in biology for studying individual cells or micro-organisms, but its direct application in biological tissues is relatively scarce due to tissue sections' complex nature. Yet, many applications could benefit from such description, such as mineralization phenomena in breast tissue. Breast microcalcifications (BMCs) are calcium-based deposits (such as calcium oxalate and calcium phosphate) hypothesized to be associated with some breast pathologies, including cancer. Despite increased research over the past decade, BMCs' formation process and connection with breast conditions remain poorly understood. Still, BMCs nanoscale chemical speciation might offer new insights into their chemical architecture. However, breast biopsies typically range from a few millimeters to a few centimeters, containing many BMCs ranging from hundreds of nanometers to a millimeter. Thus, a breast biopsy multiscale characterization strategy is required to provide both a global chemical description of the sample and a fine chemical description of BMCs. We, thus, propose a new multimodal and multiscale approach to investigate BMCs' morphological properties using scanning electron microscopy and their chemical composition at the microscale using IR spectromicroscopy, extending up to the nanometer scale thanks to AFM-IR analysis. Although AFM-IR measurements of inorganic and crystalline objects can be challenging due to their specific optical and mechanical properties, we demonstrate AFM-IR capabilities to characterize pathological deposits directly in biological tissues. Furthermore, implementing a multimodal and multiscale methodology comes with significant challenges in terms of sample preparation, measurements, data processing, and data management, as well as their interpretation: challenges which will be outlined and addressed

Books on the topic "Imagerie IR":

1

Margarit, Josep Maria. Low-Power CMOS Digital Pixel Imagers for High-Speed Uncooled PbSe IR Applications. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-49962-8.

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Jindra, Goodman, Ragent Boris, and United States. National Aeronautics and Space Administration., eds. Correlation studies of Pioneer Venus imagery obtained from PV experiments with near-IR imagery obtained from ground-based observations during Venus inferior conjunction. San Jose, Calif: San Jose State University Foundation, 1993.

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Margarit, Josep Maria. Low-Power CMOS Digital Pixel Imagers for High-Speed Uncooled PbSe IR Applications. Springer, 2018.

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Margarit, Josep Maria. Low-Power CMOS Digital-Pixel Imagers for High-Speed Uncooled Pbse IR Applications. Springer, 2017.

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Book chapters on the topic "Imagerie IR":

1

Maria Margarit, Josep. "Frame-Based Smart IR Imagers." In Low-Power CMOS Digital Pixel Imagers for High-Speed Uncooled PbSe IR Applications, 39–72. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-49962-8_2.

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Maria Margarit, Josep. "Frame-Free Compact-Pitch IR Imagers." In Low-Power CMOS Digital Pixel Imagers for High-Speed Uncooled PbSe IR Applications, 73–99. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-49962-8_3.

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Cuby, J. G., B. Delabre, J. L. Lizon, O. Le Fèvre, and J. P. Picat. "A Wide Field Multi-Object IR Imager and Spectrograph." In Scientific Drivers for ESO Future VLT/VLTI Instrumentation, 87–92. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/978-3-662-43215-0_14.

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Kidger, M. "Canaricam: The Multimode Mid-IR Imager for the GTC." In Highlights of Spanish Astrophysics III, 484. Dordrecht: Springer Netherlands, 2003. http://dx.doi.org/10.1007/978-94-017-1778-6_127.

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Kumar, Nikhil, Ashish Kumar, and Neeta Kandpal. "Video Synopsis for IR Imagery Considering Video as a 3D Data Cuboid." In Advances in Intelligent Systems and Computing, 227–37. Singapore: Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-2104-6_21.

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Maria Margarit, Josep. "Introduction." In Low-Power CMOS Digital Pixel Imagers for High-Speed Uncooled PbSe IR Applications, 1–37. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-49962-8_1.

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Maria Margarit, Josep. "Pixel Test Chips in 0.35- and 0.15- $$\,\upmu $$ m CMOS Technologies." In Low-Power CMOS Digital Pixel Imagers for High-Speed Uncooled PbSe IR Applications, 101–34. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-49962-8_4.

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Maria Margarit, Josep. "Imager Test Chips in 2.5-, 0.35- and 0.15- $$\upmu $$ μ m CMOS Technologies." In Low-Power CMOS Digital Pixel Imagers for High-Speed Uncooled PbSe IR Applications, 135–68. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-49962-8_5.

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Maria Margarit, Josep. "Conclusions." In Low-Power CMOS Digital Pixel Imagers for High-Speed Uncooled PbSe IR Applications, 169–73. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-49962-8_6.

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Ng, E., and G. Kaw. "IR Imagers as Fever Monitoring Devices." In Medical Devices and Systems, 24–1. CRC Press, 2006. http://dx.doi.org/10.1201/9781420003864.ch24.

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Conference papers on the topic "Imagerie IR":

1

Kornfeld, Gertrude H. "Interpreting computer-generated IR images." In OSA Annual Meeting. Washington, D.C.: Optica Publishing Group, 1986. http://dx.doi.org/10.1364/oam.1986.thc2.

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Computer generation of infrared imagery for automatic target recognizer (ATR) evaluation and human perception studies is discussed in this presentation. Initially a videotape with driving vehicles and observer motion is shown. A comparison of forward-looking infrared radiometer (FLIR) imagery and computer generations demonstrates achieved realism. A computer-generated FLIR search pattern with an approaching tank demonstrates a motion that is difficult to detect by humans, but ATRs programmed for center of hot spot detection and frames subtraction might detect the tank motion. Finally, a simulation of the imagery seen by a FLIR mounted in a helicopter shows low overflight of trees before a serpentine approach to a tank column; it illustrates the difficulties of distance estimates of FLIR imagery and the degrees of freedom of sensor motion that were programmed.
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Costard, E., Ph Bois, X. Marcadet, and A. Nedelcu. "QWIP and 3rd generation IR imagers." In Defense and Security, edited by Bjorn F. Andresen and Gabor F. Fulop. SPIE, 2005. http://dx.doi.org/10.1117/12.606180.

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Kosonocky, Walter F. ""Progress In Schottky-Barrier IR Imagers"." In OE LASE'87 and EO Imaging Symp (January 1987, Los Angeles), edited by Robert L. Caswell. SPIE, 1987. http://dx.doi.org/10.1117/12.939867.

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Costard, E., Ph Bois, X. Marcadet, and A. Nedelcu. "QWIP and third-generation IR imagers." In Remote Sensing, edited by Roland Meynart, Steven P. Neeck, and Haruhisa Shimoda. SPIE, 2005. http://dx.doi.org/10.1117/12.632800.

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Uplinger, James, Derek Schesser, Christopher D. Meyer, Joseph K. Conroy, and Celso De Melo. "Adversarial learning using synthetic IR imagery." In Synthetic Data for Artificial Intelligence and Machine Learning: Tools, Techniques, and Applications, edited by Kimberly E. Manser, Raghuveer M. Rao, and Christopher L. Howell. SPIE, 2023. http://dx.doi.org/10.1117/12.2663612.

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Bendelac, Shiri, Keith Manville, Josh Harguess, and Mikel Rodriguez. "A Dynamic Thermal IR Display for Physical Adversarial Attacks." In 2021 IEEE Applied Imagery Pattern Recognition Workshop (AIPR). IEEE, 2021. http://dx.doi.org/10.1109/aipr52630.2021.9762185.

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Bendelac, Shiri, Keith Manville, Josh Harguess, and Mikel Rodriguez. "A Dynamic Thermal IR Display for Physical Adversarial Attacks." In 2021 IEEE Applied Imagery Pattern Recognition Workshop (AIPR). IEEE, 2021. http://dx.doi.org/10.1109/aipr52630.2021.9762185.

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Thibault, Simon. "IR panomorph lens imager and applications." In SPIE Defense and Security Symposium, edited by Bjørn F. Andresen, Gabor F. Fulop, and Paul R. Norton. SPIE, 2008. http://dx.doi.org/10.1117/12.777848.

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Shepard, S. M., and D. T. Sass. "Videography of above-frame-rate phenomena using an unmodified RS-170 camera." In OSA Annual Meeting. Washington, D.C.: Optica Publishing Group, 1990. http://dx.doi.org/10.1364/oam.1990.tudd3.

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The video image of a geometrically simple target may appear to be complex if some component of the target is periodically varying at a frequency greater than the video frame rate. The presence of aliasing at above-frame-rate frequencies has hindered videography of high-speed, repetitive phenomena. We have developed a technique that allows such events to be imaged with an unmodified RS-170 imager (either infrared or visible). The system consists of the imager, a microcomputer, and a custom hardware interface to synchronize data acquisition. High-speed images are obtained by selectively acquiring data according to its phase shift with respect to an external reference signal, and by treating the imager as a high-speed, multiplexed line sampler, rather than as a low-speed, video frame sampler. We have used this system with an IR imager to study a number of heat-transfer problems, including combustion phenomena in a spark-ignited engine. The resulting images have a significantly shorter "effective integration time," which is % of the integration time for conventionally obtained IR thermograms, so thermal phenomena such as flame propagation and heat transfer in the piston head can be isolated.
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Bocchicchio, Richard L. "Applications of IR Imagery to Thermal Evaluations." In International Conference On Environmental Systems. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 1992. http://dx.doi.org/10.4271/921223.

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Reports on the topic "Imagerie IR":

1

Carin, Lawrence. Matching Pursuits & Hidden Markov Models for Processing IR Imagery. Fort Belvoir, VA: Defense Technical Information Center, September 2000. http://dx.doi.org/10.21236/ada384419.

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2

Ben-Shalom, Ami, Adam Devir, and Leslie Salem. Development and Validation of Measurement Techniques of Transmittance of Thermal Contrast Utilizing Existing IR Imagers. Fort Belvoir, VA: Defense Technical Information Center, July 1988. http://dx.doi.org/10.21236/ada204920.

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3

Clausen, Jay, Christopher Felt, Michael Musty, Vuong Truong, Susan Frankenstein, Anna Wagner, Rosa Affleck, Steven Peckham, and Christopher Williams. Modernizing environmental signature physics for target detection—Phase 3. Engineer Research and Development Center (U.S.), March 2022. http://dx.doi.org/10.21079/11681/43442.

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Abstract:
The present effort (Phase 3) builds on our previously published prior efforts (Phases 1 and 2), which examined methods of determining the probability of detection and false alarm rates using thermal infrared for buried object detection. Environmental phenomenological effects are often represented in weather forecasts in a relatively coarse, hourly resolution, which introduces concerns such as exclusion or misrepresentation of ephemera or lags in timing when using this data as an input for the Army’s Tactical Assault Kit software system. Additionally, the direct application of observed temperature data with weather model data may not be the best approach because metadata associated with the observations are not included. As a result, there is a need to explore mathematical methods such as Bayesian statistics to incorporate observations into models. To better address this concern, the initial analysis in Phase 2 data is expanded in this report to include (1) multivariate analyses for detecting objects in soil, (2) a moving box analysis of object visibility with alternative methods for converting FLIR radiance values to thermal temperature values, (3) a calibrated thermal model of soil temperature using thermal IR imagery, and (4) a simple classifier method for automating buried object detection.

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