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Готові списки джерел за темами / Multispectral infrared imaging

Добірка наукової літератури з теми "Multispectral infrared imaging"

Автор: Grafiati

Опубліковано: 7 липня 2024

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Статті в журналах з теми "Multispectral infrared imaging":

1

Tran, Chieu D. "Infrared Multispectral Imaging: Principles and Instrumentation." Applied Spectroscopy Reviews 38, no. 2 (2003): 133–53. http://dx.doi.org/10.1081/asr-120021165.

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2

Schaeberle, Michael D., and Patrick J. Treado. "New frontiers in multispectral chemical imaging." Proceedings, annual meeting, Electron Microscopy Society of America 52 (1994): 156–57. http://dx.doi.org/10.1017/s0424820100168517.

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Recent advancements in visible and near-infrared multichannel detectors as well as the availability of novel imaging quality tunable filters make multispectral chemical imaging microscopy viable for routine materials characterization. Our research involves the development and application of chemical imaging methods that are rapid, non-invasive, and intuitive. The methods require limited sample preparation, and can be performed at high spectral and spatial resolution.The chemical imaging techniques employ Raman scattering, fluorescence emission or infrared absorption spectroscopies in combination with optical microscopy. In general, the methods provide qualitative and quantitative information about the composition and distribution of constituents within a wide host of materials, including biological tissues, polymers, and semiconductors.Silicon charge-coupled device (CCD) detectors are widely utilized for image detection in visible microscopy. Currently underutilized, but providing significant capabilities for chemical imaging based on infrared vibrational absorption are focal plane array (FPA) detectors providing sensitivity in the near-infrared and mid infrared. These include cameras constructed from indium antimonide (InSb), platinum silicide (PtSi), indium gallium arsenide (InGaAs) and mercury cadmium telluride (MCT).

3

Zhang, Yibing. "Multispectral three-dimensional digital infrared thermal imaging." Optical Engineering 42, no. 4 (April 1, 2003): 906. http://dx.doi.org/10.1117/1.1557175.

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4

Ozkan, Haydar, Muberra Aydin, Osman Alpcan Ozcan, and Ummuhan Zengin. "A portable multispectral vein imaging system." Journal of Electrical Engineering 74, no. 1 (February 1, 2023): 64–69. http://dx.doi.org/10.2478/jee-2023-0008.

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Abstract Phlebotomy may cause unnecessary injuries to a patient whose veins are not easily visible to a healthcare professional. To mitigate this problem we designed a new system to image subcutaneous veins. Multispectral images were obtained using a microprocessor, an IR (infrared) camera, different wavelengths of NIR (near-infrared) sources, and an IR band-pass filter. Raw vein images were enhanced, colored, and displayed on a monitor using an easy-to-use interface. The mean dice similarity index (DSI) between the vein border specified by a doctor on the raw images manually and the automated segmented by the proposed system is determined as 0.92 ± 2.1 for 20 subjects. Also, the average peak signal-to-noise ratio (PSNR) obtained a high value of 68.37 ± 1.56 from the enhanced image. Phlebotomists can easily observe the subcutaneous veins in real-time with the three different options using the proposed device. As a result, this study advances the vein imaging field which has the potential to reduce injury to the patient during venipuncture.

5

Li, Kun, Shaoli Duan, Lingling Pang, Weilai Li, Zhixiong Yang, Yaohang Hu, and Chunchao Yu. "Chemical Gas Telemetry System Based on Multispectral Infrared Imaging." Toxics 11, no. 1 (January 15, 2023): 83. http://dx.doi.org/10.3390/toxics11010083.

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Environmental monitoring, public safety, safe production, and other areas all benefit greatly from the use of gas detection technologies. The infrared image of a gas could be used to determine its type from a long distance in gas detection. The infrared image can show the spatial distribution of the gas cloud and the background, allowing for long-distance and non-contact detection during safety production and hazardous chemical accident rescue. In this study, a gas detection system based on multispectral infrared imaging is devised, which can detect a variety of gases and determine the types of gas by separating the infrared radiation. It is made up of an imaging optical system, an uncooled focal plane detector, a filter controller, and a data gathering and processing system. The resolution of the infrared image is 640 × 512 and the working band of the system is 6.5~15 μm. The system can detect traces of pollutants in ambient air or gas clouds at higher concentrations. Ammonia, sulfur hexafluoride, methane, sulfur dioxide, and dimethyl methyl phosphonate were all successfully detected in real time. Ammonia clouds could be detected at a distance of 1124.5 m.

6

Zhang, Yuanjie, Huangrong Xu, Yiming Liu, Xiaojun Zhou, Dengshan Wu, and Weixing Yu. "Advanced Biomimetic Multispectral Curved Compound Eye Camera for Aerial Multispectral Imaging in a Large Field of View." Biomimetics 8, no. 7 (November 20, 2023): 556. http://dx.doi.org/10.3390/biomimetics8070556.

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In this work, we demonstrated a new type of biomimetic multispectral curved compound eye camera (BM3C) inspired by insect compound eyes for aerial multispectral imaging in a large field of view. The proposed system exhibits a maximum field of view (FOV) of 120 degrees and seven-waveband multispectral images ranging from visible to near-infrared wavelengths. Pinhole imaging theory and the image registration method from feature detection are used to reconstruct the multispectral 3D data cube. An airborne imaging experiment is performed by assembling the BM3C on an unmanned aerial vehicle (UAV). As a result, radiation intensity curves of several objects are successfully obtained, and a land type classification is performed using the K-means method based on the aerial image as well. The developed BM3C is proven to have the capability for large FOV aerial multispectral imaging and shows great potential applications for distant detecting based on aerial imaging.

7

Kozlowska, Anna, Piotr Wawrzyniak, Andrzej Malag, Marian Teodorczyk, Jens W. Tomm, and Fritz Weik. "Reliability screening of diode lasers by multispectral infrared imaging." Journal of Applied Physics 99, no. 5 (March 2006): 053101. http://dx.doi.org/10.1063/1.2178390.

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8

Mamadou, Diarra, Kacoutchy Jean Ayikpa, Abou Bakary Ballo, Nagbégna Diabate, and N’guessan Patrice Akoguhi. "Enhancing Face Recognition Performance with Multispectral Imaging and Machine Learning: Comparison from Sift and Sift-Freak Feature Extraction." International Journal on Recent and Innovation Trends in Computing and Communication 11, no. 8s (August 18, 2023): 329–40. http://dx.doi.org/10.17762/ijritcc.v11i8s.7213.

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The development of modern societies faces many security and identification challenges. To meet this expectation, computer vision offers biometric solutions. Much research in recent years has focused on face recognition. Traditional facial recognition that uses color images has had many shortcomings, such as variation in illumination, smoke, rain, disguise, face concealment, makeup, etc. Light-insensitive infrared (IR) imaging is presented as an alternative to facial recognition in the visible to overcome the shortcomings of uncontrolled environments. However, IR also has weaknesses, such as facial occlusion by glasses, variation in body temperature, perfusion, etc. This paper proposes a new facial recognition architecture that uses several classification algorithms, detectors, and feature descriptors in multispectral imaging. A combination of SIFT and FREAK, feature extraction tools, was associated with classification algorithms such as SVM, logistic regression, and Random forest to conduct this study. Several experiments were made to evaluate the performance of the proposed recognition system. The validation process of the proposed multispectral face recognition method involved several important steps. First, experiments were carried out on visible and infrared spectrum images to measure the recognition system's performance. These experiments made it possible to compare the recognition performances between these two types of images. Then, fuse visible and infrared images were used to assess multispectral facial recognition. The goal was to maximize each spectrum's advantages while minimizing their disadvantages. Metrics were evaluated to measure the accuracy of the multispectral face recognition method. The performances were compared with classical facial recognition methods, such as facial recognition based on the visible spectrum or infrared imagery alone. The results showed that the proposed multispectral facial recognition method performed better than traditional methods, reaching a facial recognition score ranging from 76% to 95% in the IRIS database.

9

Huang, Qiping, Huanhuan Li, Jiewen Zhao, Gengping Huang, and Quansheng Chen. "Non-destructively sensing pork quality using near infrared multispectral imaging technique." RSC Advances 5, no. 116 (2015): 95903–10. http://dx.doi.org/10.1039/c5ra18872e.

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10

Langhout, Gerrit Cornelis, Diederik Johannes Grootendorst, Omgo Edo Nieweg, Michel Wilhelmus Jacobus Maria Wouters, Jos Alexander van der Hage, Jithin Jose, Hester van Boven, Wiendelt Steenbergen, Srirang Manohar, and Theodoor Jacques Marie Ruers. "Detection of Melanoma Metastases in Resected Human Lymph Nodes by Noninvasive Multispectral Photoacoustic Imaging." International Journal of Biomedical Imaging 2014 (2014): 1–7. http://dx.doi.org/10.1155/2014/163652.

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Objective. Sentinel node biopsy in patients with cutaneous melanoma improves staging, provides prognostic information, and leads to an increased survival in node-positive patients. However, frozen section analysis of the sentinel node is not reliable and definitive histopathology evaluation requires days, preventing intraoperative decision-making and immediate therapy. Photoacoustic imaging can evaluate intact lymph nodes, but specificity can be hampered by other absorbers such as hemoglobin. Near infrared multispectral photoacoustic imaging is a new approach that has the potential to selectively detect melanin. The purpose of the present study is to examine the potential of multispectral photoacoustic imaging to identify melanoma metastasis in human lymph nodes.Methods. Three metastatic and nine benign lymph nodes from eight melanoma patients were scannedex vivousing a Vevo LAZR©multispectral photoacoustic imager and were spectrally analyzed per pixel. The results were compared to histopathology as gold standard.Results. The nodal volume could be scanned within 20 minutes. An unmixing procedure was proposed to identify melanoma metastases with multispectral photoacoustic imaging. Ultrasound overlay enabled anatomical correlation. The penetration depth of the photoacoustic signal was up to 2 cm.Conclusion. Multispectral three-dimensional photoacoustic imaging allowed for selective identification of melanoma metastases in human lymph nodes.

Більше джерел

Дисертації з теми "Multispectral infrared imaging":

1

Howard, Matthew David. "Fourier Multispectral Imaging in the Shortwave Infrared." University of Dayton / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1507560319244019.

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2

Riseby, Emil, and Alexander Svensson. "Multispectral Imaging for Surveillance Applications." Thesis, Linköpings universitet, Medie- och Informationsteknik, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-115731.

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Silicon based sensors is a commonly used technology in digital cameras today. That has made such cameras relatively cheap and widely used. Unfortunately they are constructed to capture and represent image quality for humans. Several image applications work better without the restrictions of the visible spectrum. Human visual restrictions are often indirectly put on technology by using images showing only visible light. Thinking outside the box in this case is seeing beyond the visible spectrum.

3

Rose, Robert A. "The generation and comparison of multispectral synthetic textures /." Online version of thesis, 1994. http://hdl.handle.net/1850/11731.

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4

Dunmeyer, David Richard 1978. "Polarization-dependent wavelength-selective structures for multispectral polarimetric infrared imaging." Thesis, Massachusetts Institute of Technology, 2007. http://hdl.handle.net/1721.1/38680.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2007.
Includes bibliographical references (p. 173-181).
The need for compact, rugged, low-cost multispectral-polarimetric filtering technology exists in both the civilian and defense communities. Such technology can be used for object detection, object recognition, and image contrast enhancement. Mosaicked multispectral-polarimetric filter technology, using CMOS-type metallo-dielectric grating structures, is presented as a potential solution in which the spectral filtering and polarization filtering functions are performed in a single component. In this work, single-layer and double-layer metallic-grating structures, embedded in uniform dielectric are investigated. Spectral tunability using only transverse grating properties in a two-layer metallic-grating structure is demonstrated. Additionally, one-layer and two-layer slotted-grid rectangular-aperture two-dimensional metallic gratings for infrared imaging are also studied. To complement the simulations, thirty-nine separate infrared optical polarization and spectral filters were fabricated in silicon using the AMI 0.5pm / MOSIS foundry service, and they were characterized using polarized FTIR analysis. Polarized transmission spectra from these CMOS-based filters compare favorably with simulation results for four of the most promising filter types. An external-cavity-coupled single-layer metallic-grating structure, compatible with CMOS microbolometer detector technology is also offered as an application example.
by David R. Dunmeyer.
Ph.D.

5

Hadj-Youcef, Mohamed Elamine. "Spatio spectral reconstruction from low resolution multispectral data : application to the Mid-Infrared instrument of the James Webb Space Telescope." Thesis, Université Paris-Saclay (ComUE), 2018. http://www.theses.fr/2018SACLS326/document.

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Cette thèse traite un problème inverse en astronomie. L’objectif est de reconstruire un objet 2D+λ, ayant une distribution spatiale et spectrale, à partir d’un ensemble de données multispectrales de basse résolution fournies par l’imageur MIRI (Mid-InfraRed Instrument), qui est à bord du prochain télescope spatial James Webb Space Telescope (JWST). Les données multispectrales observées souffrent d’un flou spatial qui dépend de la longueur d’onde. Cet effet est dû à la convolution par la réponse optique (PSF). De plus, les données multi-spectrales souffrent également d’une sévère dégradation spectrale en raison du filtrage spectral et de l’intégration par le détecteur sur de larges bandes. La reconstruction de l’objet original est un problème mal posé en raison du manque important d’informations spectrales dans l’ensemble de données multispectrales. La difficulté se pose alors dans le choix d’une représentation de l’objet permettant la reconstruction de l’information spectrale. Un modèle classique utilisé jusqu’à présent considère une PSF invariante spectralement par bande, ce qui néglige la variation spectrale de la PSF. Cependant, ce modèle simpliste convient que dans le cas d’instrument à une bande spectrale très étroite, ce qui n’est pas le cas pour l’imageur de MIRI. Notre approche consiste à développer une méthode pour l’inversion qui se résume en quatre étapes : (1) concevoir un modèle de l’instrument reproduisant les données multispectrales observées, (2) proposer un modèle adapté pour représenter l’objet à reconstruire, (3) exploiter conjointement l’ensemble des données multispectrales, et enfin (4) développer une méthode de reconstruction basée sur la régularisation en introduisant des priori à la solution. Les résultats de reconstruction d’objets spatio-spectral à partir de neuf images multispectrales simulées de l’imageur de MIRI montrent une augmentation significative des résolutions spatiale et spectrale de l’objet par rapport à des méthodes conventionnelles. L’objet reconstruit montre l’effet de débruitage et de déconvolution des données multispectrales. Nous avons obtenu une erreur relative n’excédant pas 5% à 30 dB et un temps d’exécution de 1 seconde pour l’algorithme de norm-l₂ et 20 secondes avec 50 itérations pour l’algorithme norm-l₂/l₁. C’est 10 fois plus rapide que la solution itérative calculée par l’algorithme de gradient conjugué
This thesis deals with an inverse problem in astronomy. The objective is to reconstruct a spatio-spectral object, having spatial and spectral distributions, from a set of low-resolution multispectral data taken by the imager MIRI (Mid-InfraRed Instrument), which is on board the next space telescope James Webb Space Telescope (JWST). The observed multispectral data suffers from a spatial blur that varies according to the wavelength due to the spatial convolution with a shift-variant optical response (PSF). In addition the multispectral data also suffers from severe spectral degradations because of the spectral filtering and the integration by the detector over broad bands. The reconstruction of the original object is an ill-posed problem because of the severe lack of spectral information in the multispectral dataset. The difficulty then arises in choosing a representation of the object that allows the reconstruction of this spectral information. A common model used so far considers a spectral shift-invariant PSF per band, which neglects the spectral variation of the PSF. This simplistic model is only suitable for instruments with a narrow spectral band, which is not the case for the imager of MIRI. Our approach consists of developing an inverse problem framework that is summarized in four steps: (1) designing an instrument model that reproduces the observed multispectral data, (2) proposing an adapted model to represent the sought object, (3) exploiting all multispectral dataset jointly, and finally (4) developing a reconstruction method based on regularization methods by enforcing prior information to the solution. The overall reconstruction results obtained on simulated data of the JWST/MIRI imager show a significant increase of spatial and spectral resolutions of the reconstructed object compared to conventional methods. The reconstructed object shows a clear denoising and deconvolution of the multispectral data. We obtained a relative error below 5% at 30 dB, and an execution time of 1 second for the l₂-norm algorithm and 20 seconds (with 50 iterations) for the l₂/l₁-norm algorithm. This is 10 times faster than the iterative solution computed by conjugate gradients

6

Rivière, 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.

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Dans le cadre de ses études sur la détonique, le CEA de Gramat s'intéresse à la dispersion de liquides dans l'air, avec des contraintes de haute vitesse/énergie, et des aspects multi-échelles. La mesure de la granulométrie du liquide dispersé suscite un vif intérêt et s'avère complexe car aucune solution commerciale n'est utilisable dans ces conditions particulières. Toutefois, dans ces conditions et avec l'impossibilité d'utiliser des sources laser en environnement pyrotechnique, aucune solution commerciale n'est disponible. Pour ce travail de thèse, une nouvelle méthode d'identification de la granulométrie a donc été développée, et se base sur une mesure dite "par extinction", particulièrement simple de déploiement et robuste en environnement sévère. Il s'agit d'une approche multispectrale (mesure avec des caméras ou un spectromètre) faisant appel à une méthode d'inversion régularisée au sens de Tikhonov, s'appuyant sur la mesure de transmissions spectrales, et qui permet de reconstruire la granulométrie de ce dernier a posteriori à l'aide de la loi de Beer-Lambert combinée au modèle de Mie. De par la complexité des phénomènes liée à l'usage d'explosif pour la dispersion, la méthode développée a été testée sur des dispersions de liquide reproduites à petite échelle sur des sprays. La méthode générale a été développée en exploitant les informations spectrales provenant de sprays d'eau contrôlés et confinés dans une enceinte placée dans un spectromètre infrarouge à transformée de Fourier (haute résolution). Cependant, cet appareillage étant peu adapté aux conditions terrain, la méthode de mesure a été dégradée en utilisant des caméras permettant des mesures à "faible résolution" mais plus rapides. Ainsi, l'utilisation d'une caméra infrarouge opérant en bande spectrale 2-5 µm avec des filtres spectraux et d'un corps noir plan a été testée pour suivre l'évolution de granulométrie du spray en fonction du temps. Par la suite, cette méthode a pu être appliquée à des dispersions d'eau par explosif et a fourni des résultats prometteurs. La démarche complète de mesure et d'analyse a donc pu être validée à chaque étape de l'étude
As 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

7

Chaban, Antonina. "Non-invasive methods for the study of wall decorations in art history and archaelogy Metodi non invasivi per lo studio degli apparati decorativi di interesse archeologico e storico-artistico." Doctoral thesis, Università degli studi di Padova, 2019. http://hdl.handle.net/11577/3422212.

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Wall paintings and mosaics, especially those of archaeological and art historical interest, represent a complex object of study. They are characterized by the presence of a highly valuable decorated surface and several underlying preparation layers, acting as interface to the structural support. The presence of hidden defects within this structure can be related to the ageing and deterioration of materials, inhomogeneities can be the result of past restoration interventions on the ancient artwork. This thesis project introduces a combined in-situ non-invasive approach to characterize ancient wall decorations and their underlying support in art historical and archaeological field. For this purpose, experimental in-situ and laboratory tests are aimed to evaluate the applicability, potentialities and limitations of the combination of four portable electromagnetic methods: - Multispectral imaging (MI), using a modified camera with visible, infrared and ultraviolet filters (300-1000 nm), applied to analysis of the decoration layer; - Holographic subsurface radar (HSR), with 6.4-6.8 GHz antenna), applied to analysis of the shallow subsurface layers; - Infrared thermography (IRT), applied to analysis of the subsurface structure; - High resolution ground penetrating radar (GPR), with a full polar 2 GHz antenna for the investigation of the internal structure of the wall. Operating with different frequencies and related different penetration depth and resolution, these techniques can provide complementary information regarding the surface (i.e. materials, pigments, degradation phenomena, restorations etc.) and its underlying layers (i.e. structural integrity, differences in materials, presence of humidity, detachments, cracks etc.). The in-situ tests were performed on some representative case studies in Italy and Greece, which date to different periods and are characterized by different site conditions and conservation state of the analyzed decorations. The in-situ experimental approach, proposed in the thesis, was integrated by laboratory tests, using additional non-invasive methods: Digital Holographic Speckle Pattern Interferometry and Stimulated Infrared Thermography (DHSPI-SIRT). The experimental approach has shown that the applicability of in-situ methods is strongly conditioned by the intrinsic characteristics of decorated surfaces (high value, geometry, degradation state), to which the use of non-invasive contact methods (GPR and HSR) is limited. The in-situ results are strongly influenced by logistics and acquisition conditions. The key contribution of this thesis is evaluation of advantages and limitations of the tested in-situ non-invasive investigation approach for the diagnostics of ancient wall paintings and mosaics. This experimental research has shown that portability, remote access, immediate visualization and interpretation of data are crucial in the development of general guidelines (non-invasive investigation protocol) for the diagnostics of wall paintings and mosaics. These characteristics are essential for efficient interdisciplinary collaboration between scientists, art historians, archaeologists, conservators and curators, aimed at correct monitoring and conservation planning of wall paintings and mosaics.
Pitture e mosaici parietali, soprattutto quelli di interesse storico-artistico e archeologico, rappresentano un oggetto di studio complesso. Oltre alla struttura fisica, generalmente costituita da una superficie esterna decorata e preziosa e dai diversi strati di preparazione che fungono da interfaccia con il supporto strutturale e che caratterizzano tutti i tipi di decorazioni parietali senza distinzione di tipologia e di epoca di realizzazione, si deve infatti tener conto anche della componente molto importante legata alla storia e alla vetustà del manufatto. Questo comporta la possibilità che ci siano presenti anomalie legate al degrado dei materiali e dei supporti e disomogeneità legate ai restauri che possono aver interessato l'opera nel tempo. La possibilità di ottenere informazioni preliminari in modo non invasivo su tutti gli strati e sulle eventuali anomalie ivi presenti, costituisce pertanto un punto chiave nella diagnostica in-situ delle decorazioni parietali soprattutto per quelle di interesse storico-artistico o archeologico. Il presente progetto di ricerca, attraverso un approccio di tipo sperimentale, mira a testare le potenzialità e limiti di alcuni metodi elettromagnetici per indagini in situ di tipo non invasivo su pitture e mosaici parietali antichi. A tale scopo, sono stati presi in considerazione quattro diversi metodi di indagine: - l'Imaging Multispettrale (MI), utilizzando una macchina fotografica modificata e quattro differenti filtri (VIS-UV- e tre bande IR), per analisi, nel range 300-1000 nm, sulla superficie esterna decorata; - il Radar Olografico (HSR), utilizzando un'antenna con 5 frequenze comprese tra 6.4 GHz e 6.8 GHz, per l'analisi dei primi strati al di sotto della superficie esterna decorata; - la Termografia infrarossa (IRT), per l'analisi delle anomalie sub-superficiali; il georadar (GPR) ad altissima risoluzione, con un'antenna full polar da 2 GHz, per l'analisi della struttura interna dell'apparato murario al di sotto della superficie decorata. Operando con frequenze diverse, corrispondenti a profondità di indagine e risoluzioni differenti, queste tecniche possono in generale fornire informazioni preliminari sulla superficie (per esempio su materiali, pigmenti, stato di degrado, precedenti interventi ecc.) e sugli strati sottostanti (integrità strutturale, differenze nei materiali, presenza di umidità, distacchi, crepe, ecc.). Le misure in-situ sono state condotte su alcuni casi studio rappresentativi in Italia e in Grecia, relativamente a manufatti che risalgono a epoche diverse, in differenti contesti e differenti stati di conservazione. L'approccio sperimentale ha dimostrato che l'applicabilità dei metodi in situ è fortemente condizionata dalle caratteristiche intrinseche delle superfici di pregio (alto valore storico artistico, geometria, stato di degrado), che limitano l'uso dei metodi non invasivi a contatto (GPR e HSR) e che i dati sono inoltre fortemente dipendenti dalla logistica e dalle modalità di acquisizione. La sperimentazione in situ proposta nella tesi è stata integrata con test di laboratorio, utilizzando anche altri metodi non-invasivi, quali l'interferometria olografica e termografia infrarossa attiva (DHSPI-SIRT). Questo lavoro di ricerca ha evidenziato che portabilità, uso a distanza, immediata visualizzazione e interpretazione dei dati sono elementi cruciali nello sviluppo di un approccio non invasivo alla diagnostica di pitture murali e mosaici e risultano fondamentali per la caratterizzazione preliminare, per l'efficiente monitoraggio, la corretta diagnosi e l'adeguata pianificazione degli interventi sulle decorazioni parietali di interesse storico-artistico e archeologico nell'ottica di un'efficace collaborazione interdisciplinare tra componente scientifica e umanistica (storici dell'arte, archeologi) e con conservatori e curatori di questi preziosi beni.

8

Alshatshati, Salahaldin Faraj. "Estimating Envelope Thermal Characteristics from Single Point in Time Thermal Images." University of Dayton / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1512648630005333.

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9

Chiachia, Giovani [UNESP]. "Improving face recognition with multispectral fusion and support vector machines." Universidade Estadual Paulista (UNESP), 2009. http://hdl.handle.net/11449/98661.

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Made available in DSpace on 2014-06-11T19:29:40Z (GMT). No. of bitstreams: 0 Previous issue date: 2009-06-19Bitstream added on 2014-06-13T18:07:45Z : No. of bitstreams: 1 chiachia_g_me_sjrp.pdf: 1197775 bytes, checksum: a782f5b01605aa2a8b8bb080a56b3cad (MD5)
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
O reconhecimento facial é uma das principais formas de identificação humana. Apesar das pesquisas em reconhecimento facial automático terem crescido substancialmente ao longo dos últimos 35 anos, identificar pessoas a partir da face continua sendo um desafio para as áreas de Visão Computacional e Reconhecimento de Padrões. Em função dos cenários variarem desde a identificação a partir de fotografias até o reconhecimento baseado em vídeos sem nenhum tipo de controle ao serem gravados, os maiores desafios estão relacionados à independência contra diferentes tipos de iluminação, pose e expressão. O objetivo desta dissertação é propor técnicas que possam contribuir para a melhoria dos sistemas de reconhecimento facial. A primeira técnica endereça o problema da iluminação através da fusão dos espectros visível e infravermelho da face. Através desta abordagem, as taxas de reconhecimento foram melhoradas em 2.07% enquanto a taxa de erro igual (EER) foi reduzida em 45.47%. A segunda técnica trata do caso da extração e classificação de características faciais. Ela propõe um novo modelo para reconhecimento facial através do uso de características extraídas por Histogramas Census e de uma técnica de reconhecimento de padrões baseada em Máquinas de Vetores de Suporte (SVMs). Este outro grupo de experimentos nos possibilitou aumentar a precisão do reconhecimento no teste FERET fa/fb em 0.5%. Além destes resultados, algumas contribuições adicionais deste trabalho que merecem ser destacadas são a análise da dependência estatística entre classificadores de espectros diferentes e considerações sobre o comportamento de uma única C-SVC SVM para identificação de pessoas de forma eficaz.
Face recognition is one of the primary ways of human identification. Although researches on automated face recognition have broadly increased along the last 35 years, it remains a challenging task in the fields of Computer Vision and Pattern Recognition. As the scenarios varies from static and constrained photographs to uncontrolled video images, the challenging issues on automatic face recognition are usually related with variations in illumination, pose and expressions. The goal of this master thesis is to propose techniques for the improvement of face recognition systems. The first technique addresses the problem of illumination by fusing the visible and the infrared spectra of the face. With this approach the recognition rates were improved in 2.07% while the Equal Error Rate (EER) were reduced in 45.47%. The second technique addresses the issue of face features extraction and classification. It proposes a new framework for face recognition by using features extracted by Census Histograms and a pattern recognition technique based on Support Vector Machines (SVMs). This other group of experiments enabled us to increase the recognition accuracy in the FERET fa/fb test in 0.5%. Beyond these results, additional contributions of this work that deserve to be highlighted are the statistical dependency analysis between face recognition systems based on different spectra and a better comprehension about the behavior of a single C-SVC SVM to reliably predict faces identities.

10

Chiachia, Giovani. "Improving face recognition with multispectral fusion and support vector machines /." São José do Rio Preto : [s.n.], 2009. http://hdl.handle.net/11449/98661.

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Orientador: Aparecido Nilceu Marana
Banca: Roberto Marcondes Cesar Junior
Banca: Ivan Rizzo Guilherme
Resumo: O reconhecimento facial é uma das principais formas de identificação humana. Apesar das pesquisas em reconhecimento facial automático terem crescido substancialmente ao longo dos últimos 35 anos, identificar pessoas a partir da face continua sendo um desafio para as áreas de Visão Computacional e Reconhecimento de Padrões. Em função dos cenários variarem desde a identificação a partir de fotografias até o reconhecimento baseado em vídeos sem nenhum tipo de controle ao serem gravados, os maiores desafios estão relacionados à independência contra diferentes tipos de iluminação, pose e expressão. O objetivo desta dissertação é propor técnicas que possam contribuir para a melhoria dos sistemas de reconhecimento facial. A primeira técnica endereça o problema da iluminação através da fusão dos espectros visível e infravermelho da face. Através desta abordagem, as taxas de reconhecimento foram melhoradas em 2.07% enquanto a taxa de erro igual (EER) foi reduzida em 45.47%. A segunda técnica trata do caso da extração e classificação de características faciais. Ela propõe um novo modelo para reconhecimento facial através do uso de características extraídas por Histogramas Census e de uma técnica de reconhecimento de padrões baseada em Máquinas de Vetores de Suporte (SVMs). Este outro grupo de experimentos nos possibilitou aumentar a precisão do reconhecimento no teste FERET fa/fb em 0.5%. Além destes resultados, algumas contribuições adicionais deste trabalho que merecem ser destacadas são a análise da dependência estatística entre classificadores de espectros diferentes e considerações sobre o comportamento de uma única C-SVC SVM para identificação de pessoas de forma eficaz.
Abstract: Face recognition is one of the primary ways of human identification. Although researches on automated face recognition have broadly increased along the last 35 years, it remains a challenging task in the fields of Computer Vision and Pattern Recognition. As the scenarios varies from static and constrained photographs to uncontrolled video images, the challenging issues on automatic face recognition are usually related with variations in illumination, pose and expressions. The goal of this master thesis is to propose techniques for the improvement of face recognition systems. The first technique addresses the problem of illumination by fusing the visible and the infrared spectra of the face. With this approach the recognition rates were improved in 2.07% while the Equal Error Rate (EER) were reduced in 45.47%. The second technique addresses the issue of face features extraction and classification. It proposes a new framework for face recognition by using features extracted by Census Histograms and a pattern recognition technique based on Support Vector Machines (SVMs). This other group of experiments enabled us to increase the recognition accuracy in the FERET fa/fb test in 0.5%. Beyond these results, additional contributions of this work that deserve to be highlighted are the statistical dependency analysis between face recognition systems based on different spectra and a better comprehension about the behavior of a single C-SVC SVM to reliably predict faces identities.
Mestre

Книги з теми "Multispectral infrared imaging":

1

United States. National Aeronautics and Space Administration., ed. Development of a portable multispectral thermal infrared camera: Final report. [Washington, DC: National Aeronautics and Space Administration, 1991.

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2

United States. National Environmental Satellite, Data, and Information Service, ed. Detection and analysis of fog at night using GOES multispectral infrared imagery. Washington, D.C: U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, National Environmental Satellite, Data, and Information Service, 1994.

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3

Ellrod, Gary P. Detection and analysis of fog at night using GOES multispectral infrared imagery. Washington, D.C: U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, National Environmental Satellite, Data, and Information Service, 1994.

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4

Newcomer, J. BOREAS level-0 TIMS imagery: Digital counts in BIL format. Greenbelt, Md: National Aeronautics and Space Administration, Goddard Space Flight Center, 2000.

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5

Roseanne, Dominguez, and Goddard Space Flight Center, eds. BOREAS level-0 TIMS imagery: Digital counts in BIL format. Greenbelt, Md: National Aeronautics and Space Administration, Goddard Space Flight Center, 2000.

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6

Roseanne, Dominguez, and Goddard Space Flight Center, eds. BOREAS level-0 TIMS imagery: Digital counts in BIL format. Greenbelt, Md: National Aeronautics and Space Administration, Goddard Space Flight Center, 2000.

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7

Development of a portable multispectral thermal infrared camera: Final report. Pasadena, CA: National Aeronautics and Space Administration, Resident Office, Jet Propulsion Laboratory, 1991.

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8

Proceedings of the Airborne Visible/Infrared Imaging Spectrometer (AVIRIS) Performance Evaluation Workshop, June 6, 7, and 8, 1988. Pasadena, Calif: National Aeronautics and Space Administration, Jet Propulsion Laboratory, California Institute of Technology, 1989.

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9

BOREAS level-0 TIMS imagery: Digital counts in BIL format. Greenbelt, Md: National Aeronautics and Space Administration, Goddard Space Flight Center, 2000.

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Частини книг з теми "Multispectral infrared imaging":

1

Davies, Adrian. "Specialist Applications and Multispectral Imaging." In Digital Ultraviolet and Infrared Photography, 147–70. Routledge, 2017. http://dx.doi.org/10.4324/9781315515090-7.

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2

Farrand, William H., Erzsébet Merényi, and Mario C. Parente. "Hyper- and Multispectral Visible and Near-Infrared Imaging Analysis." In Remote Compositional Analysis, 307–23. Cambridge University Press, 2019. http://dx.doi.org/10.1017/9781316888872.016.

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3

Leal Brioschi, Marcos, Soane Couto Menezes Lemos, Carlos Dalmaso Neto, Franciele De Meneck, Patricia Rodrigues Resende, and Eduardo Borba Neves. "Identification of Body Contouring Surgery Complications by Multispectral RGB/Infrared Thermography Imaging." In Body Contouring - Surgical Procedures and New Technologies [Working Title]. IntechOpen, 2023. http://dx.doi.org/10.5772/intechopen.107169.

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Infrared thermography can assist in the documentation of inflammatory vascular healing reactions and tissue perfusion resulting from esthetic surgical procedures in different parts of the body and face. Both in preoperative planning and in its postoperative evolutionary behavior. Infrared thermography is a functional imaging technique of cutaneous vascular activity using long-infrared electromagnetic radiation emitted by tissue cells. It can accurately identify terminal cutaneous perforating vessels related to greater or lesser skin perfusion, non-invasively, quickly, painlessly, safely and without emission of ionizing radiation by scanning a segment or entire body in a single image. This facilitates the evaluation of patients undergoing lipoabdominoplasty and their postoperative follow-up. Monitoring of new techniques and traditional procedures with infrared scanning technology helps in the early diagnostic elucidation of complications (edema, seromas, epidermolysis, hematoma, dehiscence, infection, necrosis), evolutionary studies of healing and local effects of thermoguided procedures (such as manual therapy, laser photobiomodulation, ultrasound, radiofrequency, hyperbaric oxygen therapy) direct the treatment with more objectivity, better results, and safety.

4

"Monitoring Skin Hydration by Near-Infrared Spectroscopy and Multispectral Imaging." In Bioengineering of the Skin, 429–42. CRC Press, 2006. http://dx.doi.org/10.3109/9781420005516-34.

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5

Satyanarayana, Vella, and P. Mohanaiah. "A Review on Spatial and Transform Domain Image Fusion Methods." In Advances in Transdisciplinary Engineering. IOS Press, 2023. http://dx.doi.org/10.3233/atde221321.

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Image fusion aims to collect better information from an image obtained by combining two or more different images. Image fusion has many applications such as remote sensing, medical imaging, medical diagnosis, robotics, surveillance, and image enhancements. This article presents the strengths and weakness of recent arrivals in the literature on spatial and transform domain. A comparative analysis among recently existed literature of various types of image fusing methodologies. A generalized flow diagram for image fusion which is universally acceptable to all types of images such as medical images, visible images, infrared images, multi-focus images, multi-exposure images, hyperspectral image and multispectral images is depicted. Various effective qualitative and quantitative performance measures useful for image fusion with reference image and without reference image are also tabled. At last, recommendations are given as per current research requirements for better performance with decent complexity.

6

Valero, Mario M., Amanda Makowiecki, Alan Brewer, Craig B. Clements, Neil P. Lareau, Adam K. Kochanski, and Edward Strobach. "The California Fire Dynamics Experiment (CalFiDE): Developing Validation Data Sets for Coupled Fire-Atmosphere Simulations." In Advances in Forest Fire Research 2022, 388–93. Imprensa da Universidade de Coimbra, 2022. http://dx.doi.org/10.14195/978-989-26-2298-9_62.

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The California Fire Dynamics Experiment (CalFiDE) is a 6-week study of wildfire behavior and its response to spatially and temporally evolving wind fields in California, USA. It is the result of a partnership between the Chemical Sciences Laboratory (CSL) at the National Oceanic and Atmospheric Administration (NOAA), the Wildfire Interdisciplinary Research Center (WIRC) at San Jose State University (SJSU) and University of Nevada, Reno. A Twin Otter aircraft will be instrumented and flown over landscape-scale wildfires in California between August 14 and September 30, 2022. Onboard instrumentation includes (i) a scanning Doppler lidar system capable of measuring vertical profiles of 3D wind speed and turbulence, (ii) a multispectral infrared imaging system designed to remotely sense fire behavior, (iii) NightFox fire radiative power sensors (iv) AIMMS probe to measure flight-level winds, temperature, and water vapor content, and (v) Chemistry instruments to sample flight level NOX , NOY, O3, CO and GHG. Airborne measurements will be complemented with ground-based mobile scanning radars and lidars, which will be positioned around the fire to characterize the spatial structure and internal dynamics of the smoke plume. This combination of sensors will provide a unique opportunity to characterize landscape-scale wildfire behavior, fire weather and fire atmospheric chemistry in a synchronized manner. We expect that the datasets resulting from this experiment will have a broad applicability in fundamental fire dynamics studies, fire model validation exercises and the calibration of spaceborne remote sensing fire observations.

7

Valero, Mario M., Christopher Giesige, Eric Goldbeck-Dimon, and Andrew Klofas. "A Preliminary Assessment of Tactical Fire Spread Observations during the 2020 California Fire Season." In Advances in Forest Fire Research 2022, 50–54. Imprensa da Universidade de Coimbra, 2022. http://dx.doi.org/10.14195/978-989-26-2298-9_6.

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While the undesired effects of wildfire continue to increase in many regions, the fire science community continues to suffer from an important shortage of observational data of fire behaviour, especially at the landscape scale. Observations of landscape-scale fire spread acquired during firefighting operations have traditionally been incomplete, infrequent or qualitative. Airborne remote sensing technologies are changing this paradigm with the increasing adoption of infrared and multispectral optical sensors by fire management agencies. However, fire observations acquired during fire management operations are designed with the goal of supporting real-time decisions and they may not completely meet the needs of a rigorous scientific analysis. In this paper, we analyse and discuss this question through the specific case of the 2020 fire season in California. 2020 was one of the worst years on record in the Western United States in terms of burned area, social impact and economic losses caused by fire. During this season, fire management agencies deployed airborne imaging sensors during the largest and most impactful fires. In addition to using the imagery in real time, data was stored for posterior analysis by academia. The goal of this paper is to present an analysis of such information. Preliminary inspection of the data suggests that the acquired imagery will be useful to study fire progression with a varying temporal resolution between a few minutes and 24 hours. We have identified the fires that will be analysed and we are currently organizing, categorizing and cleaning the datasets. For the revised version of this paper, we also plan to integrate fire behaviour observations with vegetation, topography and weather information retrieved from public repositories. We expect that the results of this analysis will be useful to (i) better understand the response of fire behaviour to topographic features as well as changing weather and vegetation conditions, (ii) validate fire spread simulators at the landscape scale, and (iii) investigate the relationships between weather conditions, fire dynamics and fire ecological effects.

8

Sassen, Kenneth. "Cirrus: A Modern Perspective." In Cirrus. Oxford University Press, 2002. http://dx.doi.org/10.1093/oso/9780195130720.003.0006.

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It is now understood that the cirrus clouds inhabiting the upper troposphere play a significant role in regulating the radiation balance of the earth-atmosphere system and so must be recognized as a crucial component in solving the human-induced climate change puzzle (Liou 1986). Because of their high altitudes, these cold, ice-dominated clouds act as a thermal blanket by trapping the outgoing terrestrial (infrared) radiation, but, at the same time, they can be effective at reflecting the incoming solar radiation back out to space. The balance between these two radiative processes, the greenhouse and albedo effects, respectively, determines the net impact of cirrus on our climate system. Which process dominates appears to be quite sensitive to the cloud microphysical and macrophysical properties (e.g., see Stephans et al. 1990). These properties in turn depend on the weather processes that generate cirrus, a function of geographic location, thereby complicating the global view. Of current concern is comprehending how cirrus clouds will respond, or feedback, to the effects of global warming caused by the buildup of carbon dioxide and other greenhouse gases. Would the changing atmosphere produce alterations in cirrus clouds that reinforce, or act to negate, the theoretically predicted global warming surmised from fundamental physics? One must also ask whether increasing jet aircraft traffic is creating more cirrus cloud cover, and if this traffic and agricultural activities are increasing the transport of dust and smoke particles into the upper troposphere and affecting, in a radiatively important sense, those cirrus formed naturally. Settling these issues could be pivotal to making difficult decisions on the future use of the Earth's resources. Fortunately, a new generation of meteorological instrumentation has become available. The need for these new measurement capabilities has helped to spawn and adapt instrumentation for cirrus research. Sophisticated cloud measurement capabilities using in situ probes on jet aircraft, satellite multispectral imaging, and remote sensing with lidar, short-wavelength radar, and passive radiometers, have all greatly facilitated cirrus cloud research. Major advancements have also been made in the field of numerical cloud modeling. As will be reviewed briefly here and in depth in following chapters, these developments have significantly advanced our knowledge of the characteristic properties of cirrus clouds over the past few decades.

Тези доповідей конференцій з теми "Multispectral infrared imaging":

1

Alexay, Christopher C. "Multispectral infrared imaging optics." In AeroSense 2003, edited by Bjorn F. Andresen and Gabor F. Fulop. SPIE, 2003. http://dx.doi.org/10.1117/12.496906.

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2

Marcotte, F., and Ph Lagueux. "Time Resolved Multispectral Imaging." In 2014 Quantitative InfraRed Thermography. QIRT Council, 2014. http://dx.doi.org/10.21611/qirt.2014.011.

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3

Howard, Matthew, Andrew Sarangan, and Keigo Hirakawa. "Shortwave Infrared Fourier Multispectral Imaging." In Imaging Systems and Applications. Washington, D.C.: OSA, 2019. http://dx.doi.org/10.1364/isa.2019.itu3b.4.

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4

Pollard, Benjamin, Gregory O. Andreev, Karsten Hinrichs, and Markus B. Raschke. "Multispectral infrared vibrational nano-imaging." In CLEO: QELS_Fundamental Science. Washington, D.C.: OSA, 2013. http://dx.doi.org/10.1364/cleo_qels.2013.qtu1b.2.

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5

Smith, Matthew H., James D. Howe, Jacob B. Woodruff, Miranda A. Miller, George R. Ax, Jr., Thomas E. Petty, and Elizabeth A. Sornsin. "Multispectral infrared Stokes imaging polarimeter." In SPIE's International Symposium on Optical Science, Engineering, and Instrumentation, edited by Dennis H. Goldstein and David B. Chenault. SPIE, 1999. http://dx.doi.org/10.1117/12.366324.

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6

Gerken, Martin. "Multispectral imaging in defense applications." In Infrared Sensors, Devices, and Applications XIII, edited by Ashok K. Sood, Priyalal Wijewarnasuriya, and Arvind I. D'Souza. SPIE, 2023. http://dx.doi.org/10.1117/12.2682149.

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7

Gibson, Daniel, Shyam Bayya, Vinh Nguyen, Jas Sanghera, Mikhail Kotov, and Gryphon Drake. "GRIN optics for multispectral infrared imaging." In SPIE Defense + Security, edited by Bjørn F. Andresen, Gabor F. Fulop, Charles M. Hanson, and Paul R. Norton. SPIE, 2015. http://dx.doi.org/10.1117/12.2177136.

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Huot, Alexandrine, Marc-André Gagnon, Karl-Alexandre Jahjah, Pierre Tremblay, Simon Savary, Vincent Farley, Philippe Lagueux, Éric Guyot, Martin Chamberland, and Frédérick Marcotte. "Time-resolved Multispectral Imaging of Combustion Reaction." In Quantitative InfraRed Thermography Asia 2015. QIRT Council, 2015. http://dx.doi.org/10.21611/qirt.2015.0027.

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Xu, Hong, Xiangjun Wang, and Yanan Yu. "Research on infrared multispectral imaging detection technology." In International Symposium on Photoelectronic Detection and Imaging 2009, edited by Kun Zhang, Xiang-jun Wang, Guang-jun Zhang, and Ke-cong Ai. SPIE, 2009. http://dx.doi.org/10.1117/12.835978.

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Weling, Aniruddha S., Patrick F. Henning, Dean P. Neikirk, and Sangwook Han. "Antenna-coupled microbolometers for multispectral infrared imaging." In Defense and Security Symposium, edited by Bjørn F. Andresen, Gabor F. Fulop, and Paul R. Norton. SPIE, 2006. http://dx.doi.org/10.1117/12.665791.

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