Academic literature on the topic 'Hyperspectral imaging spectroscopy'
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Journal articles on the topic "Hyperspectral imaging spectroscopy"
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Vohland, Michael, and András Jung. "Hyperspectral Imaging for Fine to Medium Scale Applications in Environmental Sciences." Remote Sensing 12, no. 18 (September 11, 2020): 2962. http://dx.doi.org/10.3390/rs12182962.
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Si Fu-Qi, Xie Pin-Hua, Klaus-Peter Heue, Liu-Cheng, Peng Fu-Min, and Liu Wen-Qing. "Hyperspectral imaging differential optical absorption spectroscopy." Acta Physica Sinica 57, no. 9 (2008): 6018. http://dx.doi.org/10.7498/aps.57.6018.
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Fickus, Matthew, Megan E. Lewis, Dustin G. Mixon, and Jesse Peterson. "Compressive Hyperspectral Imaging for Stellar Spectroscopy." IEEE Signal Processing Letters 22, no. 11 (November 2015): 1829–33. http://dx.doi.org/10.1109/lsp.2015.2433837.
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Zhang, Jun, Zihao Liu, Yaoyuan Pu, Jiajun Wang, Binman Tang, Limin Dai, Shuihua Yu, and Ruqing Chen. "Identification of Transgenic Agricultural Products and Foods Using NIR Spectroscopy and Hyperspectral Imaging: A Review." Processes 11, no. 3 (February 21, 2023): 651. http://dx.doi.org/10.3390/pr11030651.
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Spectroscopy and its imaging techniques are now popular methods for quantitative and qualitative analysis in fields such as agricultural products and foods, and combined with various chemometric methods. In fact, this is the application basis for spectroscopy and spectral imaging techniques in other fields such as genetics and transgenic monitoring. To date, there has been considerable research using spectroscopy and its imaging techniques (especially NIR spectroscopy, hyperspectral imaging) for the effective identification of agricultural products and foods. There have been few comprehensive reviews that cover the use of spectroscopic and imaging methods in the identification of genetically modified organisms. Therefore, this paper focuses on the application of NIR spectroscopy and its imaging techniques (including NIR spectroscopy and hyperspectral imaging techniques) in transgenic agricultural product and food detection and compares them with traditional detection methods. A large number of studies have shown that the application of NIR spectroscopy and imaging techniques in the detection of genetically modified foods is effective when compared to conventional approaches such as polymerase chain reaction and enzyme-linked immunosorbent assay.
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Diezma, B., S. Franco, L. Lleó, T. Presečki, and J. M. Roger. "Grading banana by VNIR hyperspectral imaging spectroscopy." Acta Horticulturae, no. 1194 (March 2018): 1283–90. http://dx.doi.org/10.17660/actahortic.2018.1194.181.
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Hanuš, J., T. Fabiánek, and L. Fajmon. "POTENTIAL OF AIRBORNE IMAGING SPECTROSCOPY AT CZECHGLOBE." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B1 (June 2, 2016): 15–17. http://dx.doi.org/10.5194/isprsarchives-xli-b1-15-2016.
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Ecosystems, their services, structures and functions are affected by complex environmental processes, which are both natural and human-induced and globally changing. In order to understand how ecosystems behave in globally changing environment, it is important to monitor the current status of ecosystems and their structural and functional changes in time and space. An essential tool allowing monitoring of ecosystems is remote sensing (RS). Many ecosystems variables are being translated into a spectral response recorded by RS instruments. It is however important to understand the complexity and synergies of the key ecosystem variables influencing the reflected signal. This can be achieved by analysing high resolution RS data from multiple sources acquired simultaneously from the same platform. Such a system has been recently built at CzechGlobe - Global Change Research Institute (The Czech Academy of Sciences). <br><br> CzechGlobe has been significantly extending its research infrastructure in the last years, which allows advanced monitoring of ecosystem changes at hierarchical levels spanning from molecules to entire ecosystems. One of the CzechGlobe components is a laboratory of imaging spectroscopy. The laboratory is now operating a new platform for advanced remote sensing observations called FLIS (Flying Laboratory of Imaging Spectroscopy). FLIS consists of an airborne carrier equipped with passive RS systems. The core instrument of FLIS is a hyperspectral imaging system provided by Itres Ltd. The hyperspectral system consists of three spectroradiometers (CASI 1500, SASI 600 and TASI 600) that cover the reflective spectral range from 380 to 2450 nm, as well as the thermal range from 8 to 11.5 μm. The airborne platform is prepared for mounting of full-waveform laser scanner Riegl-Q780 as well, however a laser scanner is not a permanent part of FLIS. In 2014 the installation of the hyperspectral scanners was completed and the first flights were carried out with all sensors. <br><br> The new hyperspectral imaging system required adaptations in the data pre-processing chain. The established pre-processing chain (radiometric, atmospheric and geometric corrections), which was tailored mainly to the AISA Eagle instrument operated at CzechGlobe since 2004, has been now modified to fit the new system and users needs. Continuous development of the processing chain is now focused mainly on establishing pre-processing of thermal data including emissivity estimation and also on joint processing of hyperspectral and laser scanning data.
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Hanuš, J., T. Fabiánek, and L. Fajmon. "POTENTIAL OF AIRBORNE IMAGING SPECTROSCOPY AT CZECHGLOBE." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B1 (June 2, 2016): 15–17. http://dx.doi.org/10.5194/isprs-archives-xli-b1-15-2016.
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Ecosystems, their services, structures and functions are affected by complex environmental processes, which are both natural and human-induced and globally changing. In order to understand how ecosystems behave in globally changing environment, it is important to monitor the current status of ecosystems and their structural and functional changes in time and space. An essential tool allowing monitoring of ecosystems is remote sensing (RS). Many ecosystems variables are being translated into a spectral response recorded by RS instruments. It is however important to understand the complexity and synergies of the key ecosystem variables influencing the reflected signal. This can be achieved by analysing high resolution RS data from multiple sources acquired simultaneously from the same platform. Such a system has been recently built at CzechGlobe - Global Change Research Institute (The Czech Academy of Sciences). <br><br> CzechGlobe has been significantly extending its research infrastructure in the last years, which allows advanced monitoring of ecosystem changes at hierarchical levels spanning from molecules to entire ecosystems. One of the CzechGlobe components is a laboratory of imaging spectroscopy. The laboratory is now operating a new platform for advanced remote sensing observations called FLIS (Flying Laboratory of Imaging Spectroscopy). FLIS consists of an airborne carrier equipped with passive RS systems. The core instrument of FLIS is a hyperspectral imaging system provided by Itres Ltd. The hyperspectral system consists of three spectroradiometers (CASI 1500, SASI 600 and TASI 600) that cover the reflective spectral range from 380 to 2450 nm, as well as the thermal range from 8 to 11.5 μm. The airborne platform is prepared for mounting of full-waveform laser scanner Riegl-Q780 as well, however a laser scanner is not a permanent part of FLIS. In 2014 the installation of the hyperspectral scanners was completed and the first flights were carried out with all sensors. <br><br> The new hyperspectral imaging system required adaptations in the data pre-processing chain. The established pre-processing chain (radiometric, atmospheric and geometric corrections), which was tailored mainly to the AISA Eagle instrument operated at CzechGlobe since 2004, has been now modified to fit the new system and users needs. Continuous development of the processing chain is now focused mainly on establishing pre-processing of thermal data including emissivity estimation and also on joint processing of hyperspectral and laser scanning data.
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Kashani, Amir H., Mark Wong, Nicole Koulisis, Chein-I. Chang, Gabriel Martin, and Mark S. Humayun. "Hyperspectral imaging of retinal microvascular anatomy." Journal of Biomedical Engineering and Informatics 2, no. 1 (November 22, 2015): 139. http://dx.doi.org/10.5430/jbei.v2n1p139.
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Background: Hyperspectral image processing has been applied to many aspects of astronomical and earth science research. Furthermore, advances in computed tomographic imaging spectroscopy and diffraction grating design have allowed biological applications for non-invasive tissue analysis. Herein, we describe a hyperspectral computed tomographic imaging spectroscope (HCTIS) that provides high spatial, spectral and temporal resolution ideal for imaging biological tissue in vivo. Methods: We demonstrate proof-of-principle application of the HCTIS by imaging and mapping the microvascular anatomy of the retina of a model organism (rabbit) in vivo. The imaging procedure allows rapid and dense spectral sampling, is non-toxic, non-invasive, and easily adaptable to a commercially available fundus camera system. Results: HCTIS provides highly co-registered temporal, spatial and spectral data with resolution capable of reconstructing the fine vascular tree of the rabbit retina in vivo. Conclusions: We show that HCTIS allows for reliable and reproducible tissue classification and detection using signature discriminant analysis. Future applications of this system may provide promising diagnostic methods for diseases of many tissues.
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Pallua, Johannes D., Andrea Brunner, Bernhard Zelger, Christian W. Huck, Michael Schirmer, Johannes Laimer, David Putzer, Martin Thaler, and Bettina Zelger. "New perspectives of hyperspectral imaging for clinical research." NIR news 32, no. 3-4 (June 2021): 5–13. http://dx.doi.org/10.1177/09603360211024971.
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New developments in instrumentation and data analysis have further improved the perspectives of hyperspectral imaging in clinical use. Thus, hyperspectral imaging can be considered as “Next Generation Imaging” for future clinical research. As a contactless, non-invasive method with short process times of just a few seconds, it quantifies predefined substance classes. Results of hyperspectral imaging may support the detection of carcinomas and the classification of different tissue structures as well as the assessment of tissue blood flow. Taken together, this method combines the principle of spectroscopy with imaging using conventional visual cameras. Compared to other optical imaging methods, hyperspectral imaging also analyses deeper layers of tissue.
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Lawrence, Kurt C., William R. Windham, Bosoon Park, and R. Jeff Buhr. "A Hyperspectral Imaging System for Identification of Faecal and Ingesta Contamination on Poultry Carcasses." Journal of Near Infrared Spectroscopy 11, no. 4 (August 2003): 269–81. http://dx.doi.org/10.1255/jnirs.373.
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A method and system for detecting faecal and ingesta contaminants on poultry carcasses were demonstrated. A visible/near infrared monochromator, which measured reflectance and principal component analysis were first used to identify key wavelengths from faecal and uncontaminated skin samples. Measurements at 434, 517, 565 and 628 nm were identified and used for evaluation with a hyperspectral imaging system. The hyperspectral imaging system, which was a line-scan (pushbroom) imaging system, consisted of a hyperspectral camera, fibre-optic line lights, a computer and frame grabber. The hyperspectral imaging camera consisted of a high-resolution charge coupled device (CCD) camera, a prism-grating-prism spectrograph, focusing lens, associated optical hardware and a motorised controller. The imaging system operated from about 400 to 900 nm. The hyperspectral imaging system was calibrated for wavelength, distance and percent reflectance and analysis of calibrated images at the key wavelengths indicated that single-wavelength images were inadequate for detecting contaminants. However, a ratio of images at two of the key wavelengths was able to identify faecal and ingesta contaminants. Specifically, the ratio of the 565-nm image divided by the 517-nm image produced good results. The ratio image was then further processed by masking the background and either enhancing the image contrast with a non-linear histogram stretch, or applying a faecal threshold. The results indicated that, for the limited sample population, more than 96% of the contaminants were detected. Thus, the hyperspectral imaging system was able to detect contaminants and showed feasibility, but was too slow for real-time on-line processing. Therefore, a multivariate system operating at 565 and 517 nm, which should be capable of operating at real-time on-line processing speed, should be used. Further research with such a system needs to be conducted.
Dissertations / Theses on the topic "Hyperspectral imaging spectroscopy"
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Poon, Phillip K., Esteban Vera, and Michael E. Gehm. "Computational hyperspectral unmixing using the AFSSI-C." SPIE-INT SOC OPTICAL ENGINEERING, 2016. http://hdl.handle.net/10150/621544.
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We have previously introduced a high throughput multiplexing computational spectral imaging device. The device measures scalar projections of pseudo-arbitrary spectral filters at each spatial pixel. This paper discusses simulation and initial experimental progress in performing computational spectral unmixing by taking advantage of the natural sparsity commonly found in the fractional abundances. The simulation results show a lower unmixing error compared to traditional spectral imaging devices. Initial experimental results demonstrate the ability to directly perform spectral unmixing with less error than multiplexing alone.
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Sahu, Amrita. "Hyperspectral Imaging to Discern Malignant and Benign Canine Mammary Tumors." Master's thesis, Temple University Libraries, 2013. http://cdm16002.contentdm.oclc.org/cdm/ref/collection/p245801coll10/id/224675.
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Electrical EngineeringM.S.E.E.
Hyperspectral imaging is an emerging technology in the field of biomedical engineering which may be used as a non-invasive modality to characterize tumors. In this thesis, a hyperspectral imaging system was used to characterize canine mammary tumors of unknown histopathology (pre-surgery) and correlate the results with the post-surgical histopathology results. The system consisted of a charge coupled device (CCD) camera, a liquid crystal tunable filter in the near infrared range (650-1100 nm), and a controller. Spectral signatures of malignant and benign canine mammary tumors were extracted and analyzed. The reflectance intensities of malignant tumor spectra were generally lower than benign tumor spectra over the wavelength range 650-1100nm. Previous studies have shown that cancerous tissues have a higher hemoglobin and water content, and lower lipid concentration with respect to benign tissues. The decreased reflectance intensity observed for malignant tumors is likely due to the increased microvasculature and, therefore, higher blood content of malignant tissue relative to benign tissue. Second derivative method was applied to the reflectance spectra. Peaks at 700, 840, 900 and 970 nm were observed in the second derivative reflectance spectra. These peaks were attributed to deoxy-hemoglobin, oxy-hemoglobin, lipid and water respectively. A Tissue Optical Index (TOI) was developed that enhances contrast between malignant and benign canine tumors. This index is based on the ratio of the reflectance intensity values corresponding to the wavelengths associated with the four chromophores. Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA) were also applied on the canine spectral dataset and the method was cross-validated. Preliminary results from 22 canine mammary tumors showed that the sensitivity and specificity of the PCA-LDA is method is 86% and 86% respectively. The sensitivity and specificity of the TOI model is 86% and 95% respectively. These results show promise in the non-invasive optical diagnosis of canine mammary cancer.
Temple University--Theses
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Malegori, C. "SPECTROSCOPY, IMAGE ANALYSIS AND HYPERSPECTRAL IMAGING FOR FOOD SAFETY AND QUALITY: A CHEMOMETRIC APPROACH." Doctoral thesis, Università degli Studi di Milano, 2015. http://hdl.handle.net/2434/346455.
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Questo progetto di dottorato studia le differenti applicazioni delle tecniche ottiche non distruttive per la valutazione della qualità e della shelf-life di prodotti vegetali così come l’identificazione precoce di sviluppi microbici su superfici industriali. La spettroscopia, l’analisi dell’immagine e l’analisi dell’immagine iperspettrale possono giocare un ruolo importante nella valutazione sia della qualità che della sicurezza degli alimenti grazie alla rapidità e sensibilità della tecnica, specialmente quando si utilizzano strumenti semplificati portatili. Un approccio statistico multivariato (chemiometria) è richiesto al fine di estrarre informazioni dal segnale acquisito, riducendo la dimensionalità dei dati e mantenendo le informazioni spettrali più utili.
Lo scopo del primo studio presentato – Testing of a Vis-NIR system for the monitoring of long-term apple storage – è la valutazione dell’applicabilità della spettroscopia nel visibile e vicino infrarosso (Vis-NIR) per il monitoraggio e la gestione delle mele durante lo stoccaggio a basse temperature. Per sette mesi è stata seguita l’evoluzione in termini di grado zuccherino e consistenza delle mele suddivise in classi di maturazione. I risultati hanno indicato che la spettroscopia è una tecnica non-distruttiva che consente una stima accurata dei parametri chimico-fisici per la classificazione delle mele in lotti omogenei.
Il lavoro descritto nel secondo paragrafo - Wavelength selection with a view to a simplified handheld optical system to estimate grape ripeness – è finalizzato all’identificazione delle tre lunghezze d’onda più importanti per il riconoscimento, direttamente in campo, dell’uva pronta per essere raccolta al fine della messa a punto di un sistema semplificato e a basso costo. I coefficienti di regressione standardizzati del modello PLS (Partial Least Square) sono stati utilizzati per selezionare le variabili più importanti, che racchiudono l’informazione più utile lungo l’intero spettro. La stessa procedura è stata condotta per determinare la freschezza delle foglie di Valerianella durante la shelf-life - Selection of optimal wavelengths for decay detection in fresh-cut Valerianella Locusta laterr (terzo paragrafo).
Lo scopo del lavoro presentato nel quarto paragrafo del primo capitolo - Comparison between FT-NIR and Micro-NIR in the evaluation of Acerola fruit quality, using PLS and SVM regression algorithms – è stimare l’acidità titolabile e il contenuto di acido ascorbico all’interno del frutto acerola, utilizzando uno strumento compatto e a basso costo denominato Micro-NIR, che lavora nell’intervallo spettrale 950-1650 nm. I dati spettrali sono stati modellati mediante l’applicazione di due algoritmi PLS e SVM (Support Vector Machine). La capacità predittiva dello strumento semplificato è risultata interessante per applicazioni di monitoraggio in campo, soprattutto modellizzando i dati in modo non lineare.
Nel secondo capitolo, è presentata l’applicazione di immagini RGB per la valutazione delle superfici - Image texture analysis, a non-conventional technique for early detection of biofilm. La texture dell’immagine è definita come una differenza nella distribuzione spaziale, nella frequenza e nell’intensità dei livelli di grigio in ogni pixel dell’immagine. Questo metodo è stato determinante per l’identificazione precoce dello sviluppo microbico su superfici normalmente impiegate nell’industria alimentare.
L’approccio chemiometrico è stato cruciale in ogni fase del progetto di dottorato ed è definito come un approccio statistico multivariato che si applica ai dati chimici per estrarre informazione utile, ridurre il rumore di fondo e l’informazione ridondante. Il lavoro presentato all’inizio del terzo capitolo - Hyperspectral image analysis: a tutorial - propone una procedura standard per l’elaborazione di dati tridimensionali, presentando un esempio relativo alla predizione del raffermamento del pane in cassetta.
Il secondo paragrafo del terzo capitolo, presenta una applicazione dell’immagine iperspettrale su acerola, focalizzata sul contenuto di vitamina C - HSI for quality evaluation of vitamin C content in Acerola fruit. In questo lavoro, è stata acquisita l’immagine di dieci acerola, raccolte in funzione del livello di maturazione, definito in base al colore della buccia (cinque acerola verdi e cinque rosse). Lo spettro della polvere di vitamina C pura è stato utilizzato come riferimento per l’applicazione di due algoritmi di correlazione (spectral angle mapping e correlation coefficient), consentendo la costruzione di mappe qualitative di distribuzione dell’acido ascorbico all’interno del frutto.
Lo scopo dell’ultimo lavoro presentato è la valutazione della qualità post raccolta dell’acerola - Selection of NIR wavelengths from hyperspectral imaging data for the quality evaluation of Acerola fruit. Le immagini iperspettrali di venti acerola sono state acquisite per cinque giorni consecutivi. La valutazione delle modificazioni spettrali durante il tempo ha consentito la selezione delle tre lunghezze d’onda caratterizzanti il processo di maturazione/degradazione del frutto. L’immagine in falsi colori, derivante dalla composizioni delle immagini alle tre lunghezze d’onda di interesse, consente l’identificazione precoce del processo degradativo in maniera rapida e non distruttiva.
Le tre tecniche non distruttive impiegate in questo progetto di dottorato hanno dimostrato efficienza e applicabilità per la valutazione della qualità e della sicurezza degli alimenti, rispondendo alla necessità dell’industria alimentare di tecniche accurate, veloci e obiettive per assicurare produzioni ottimali lungo l’intero processo produttivo.This PhD project regards different applications of non-destructive optical techniques to evaluate quality and shelf life of agro-food product as well as the early detection of biofilm on food plants. Spectroscopy, image analysis and hyperspectral imaging could play an important role in the assessment of both quality and safety of foods due to their rapidity and sensitivity especially when using simplified portable devices. Due to the huge amount of collected data, chemometric, a multivariate statistical approach, is required, in order to extract information from the acquired signals, reducing dimensionality of the data while retaining the most useful spectral information. The thesis is organized in four chapters, one for each technique and a final chapter including the overall conclusion. Each chapter is divided in case studies according to the matrix analysed and the data acquisition and elaboration carried out. The first chapter is about spectroscopy. The aim of the first study - Testing of a Vis-NIR system for the monitoring of long-term apple storage - is to evaluate the applicability of visible and near-infrared (Vis-NIR) spectroscopy to monitor and manage apples during long-term storage in a cold room. The evolution of the apple classes, originally created, was analysed during 7 months of storage by monitoring TSS and firmness. Vis-NIR allows an accurate estimation of chemical-physical parameters of apples allowing a non-destructive classification of apples in homogeneous lots and a better storage management. The work reported in the second paragraph - Wavelength selection with a view to a simplified handheld optical system to estimate grape ripeness - is aimed to identify the three most significant wavelengths able to discriminate grapes ready to be harvested directly in the field. Wavelengths selection was carried out with a view to construct a simplified handheld and low-cost optical device. Standardized regression coefficients of the PLS model were used to select the relevant variables, representing the most useful information of the full spectral region. The same approach was followed to discriminate freshness levels during shelf-life of fresh-cut Valerianella leaves - Selection of optimal wavelengths for decay detection in fresh-cut Valerianella Locusta Laterr. (third paragraph). The aim of the work presented in the fourth paragraph of the first chapter - Comparison between FT-NIR and Micro-NIR in the evaluation of Acerola fruit quality, using PLS and SVM regression algorithms - is to estimate titratable acidity and ascorbic acid content in acerola fruit, using a MicroNIR, an ultra-compact and low-cost device working between 950 – 1650 nm. The spectral data were modelled using two different regression algorithms, PLS (partial least square) and SVM (support vector machine). The prediction ability of Micro-NIR appears to be suitable for on field monitoring using non-linear regression modelling (i.e. SVM). In the second chapter, image analysis was performed. The traditional RGB imaging for the evaluation of image texture, a specific surface characteristic, is presented. The texture of an image is given by differences in the spatial distribution, in the frequency and in the intensity of the values of the grey levels of each pixel of the image. This technique was applied for the early detection of biofilm in its early stages of development, when it is still difficult to observe it by the naked eye, was evaluated (Image texture analysis, a non-conventional technique for early detection of biofilm). In the third paragraph, image and spectroscopy were combined in hyperspectral imaging applications. Data analysis by chemometric was crucial in any stage of my PhD project. Chemometric is a multivariate statistical approach that is applied on chemical data to extract the useful information avoiding noise and redundant data. At the beginning of the third chapter - Hyperspectral image analysis: a tutorial - proposes an original approach, developed as a flow sheet for three-dimensional data elaboration. The method was applied, as an example, to the prediction of bread staling during storage. The first application about hyperspectral on acerola is focused on the vitamin C content - HIS for quality evaluation of vitamin C content in Acerola fruit. Ten different acerola fruits picked up according to two different stages of maturity, based on the colour of the peel (5 green and 5 red acerola), were analysed. The spectra of pure vitamin C powder was used as references for computing models with two different correlation techniques: spectral angle mapping and correlation coefficient allowing the construction of a qualitative distribution map of ascorbic acid inside the fruit. The aim of the last one work presented is to evaluate acerola post-harvest quality - Selection of NIR wavelengths from hyperspectral imaging data for the quality evaluation of Acerola fruit. Hyperspectral images of 20 acerolas were acquired for five consecutive days and an investigation of time trends was carried out to highlight the most important three wavelengths that characterized the ripeness/degradation process of the Acerola fruit. The false-colour RGB images, derived from the composition of the three interesting wavelengths selected, data enable early detection of the senescence process in a rapid and non-destructive manner. In conclusion, the three non-destructive optical techniques applied in this PhD project have proved to be one of the most efficient and advanced tools for safety and quality evaluation in food industry answering the need for accurate, fast and objective food inspection methods to ensure safe production throughout the entire production process.
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Muttavarapu, Ramya Sudha. "CHARACTERIZATION OF COLD DRAWN POLY L LACTIC ACID BY RAMAN SPECTROSCOPY AND RAMAN HYPERSPECTRAL IMAGING." Cleveland State University / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=csu1427797659.
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Laborde, Antoine. "Detection of minor compounds in food powder using near infrared hyperspectral imaging." Thesis, université Paris-Saclay, 2020. http://www.theses.fr/2020UPASB017.
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L’imagerie hyperspectrale proche infrarouge (PIR) permet d’obtenir une carte spectrale d’un échantillon organique. La mesure d’un spectre pour chaque pixel de la caméra permet notamment la recherche de composés minoritaires dans les poudres agroalimentaires. Cependant, l’analyse spectrale PIR est limitée à une couche de profondeur donnée. De plus, la taille des particules associée à une résolution insuffisante des caméras PIR actuelles induisent un mélange des signaux spectraux dans les pixels de l’image. Ces deux problèmes sont une limitation pour l’analyse des composés minoritaires dans les poudres agroalimentaires.Nous proposons une méthode permettant de déterminer la profondeur de détection d’une cible composite placée dans un produit pulvérulent tel que la farine de blé. Basée sur une régression par projection sur les structures latentes, cette méthode permet d’appréhender l’atténuation du signal PIR lorsque la couche de poudre augmente, et ce malgré les problèmes inhérents à la détection en profondeur.De plus, deux stratégies de démélange de spectres sont proposées dans le but de détecter les pixels contenant des signatures de particules minoritaires. Le manque de valeur de référence utilisées en tant que données de validation des algorithmes ainsi que l’ambiguïté des spectres des composés pures à démélanger sont deux difficultés majeures. Une première stratégie consiste à modélisation la variabilité des spectres étudiés via l’Analyse en Composantes Principales afin de construire un algorithme de détection performant. La deuxième stratégie, basée sur la Multivariate Curve Resolution Alternating Least-Squares permet le démélange des signaux par pixels dans un cas plus complexeNear-infrared (NIR) hyperspectral imaging provides a spectral map for organic samples. Minor compounds in food powder can be looked for by analyzing the pixel spectra. However, the NIR spectral analysis is limited to a given depth. Besides, particles smaller than the pixel size induce a mixed spectral signature in the pixels. These two issues are an obstacle to the analysis of minor compounds in food powders.We propose a method to determine the detection depth of a composite target under a layer of powder such as wheat flour. It is based on the Partial Least Squares regression and provides an understanding of how the NIR signal is attenuated when the layer of powder despite the penetration depth issues.Two spectral unmixing strategies are proposed to detect pixel with minor compound NIR signatures. The lack of reference values to validate the model and the ambiguity of the spectral signature to unmix are two major difficulties. The first method models the spectral variability using Principal Component Analysis to design a performant detection algorithm. Then, for a more complex situation, the Multivariate Curve Resolution Alternating Least-Squares algorithm is used to unmix each pixel
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Rebiere, Hervé. "L’imagerie chimique Raman appliquée à l’analyse des produits pharmaceutiques falsifiés." Thesis, Montpellier, 2017. http://www.theses.fr/2017MONTT057.
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La thèse propose une méthodologie d’analyse rapide basée sur l’étude de l’image hyperspectrale Raman d’un produit pharmaceutique falsifié sous forme solide afin, d’une part d’identifier les substances présentes, et d’autre part estimer la teneur du principe actif dans l’échantillon sans étalonnage préalable.La présence de produits pharmaceutiques falsifiés est un véritable enjeu de santé publique. Ce type de produits de santé est facilement disponible sur internet, et beaucoup d’exemples montrent leur dangerosité. De nombreuses techniques sont disponibles pour analyser ces produits et ainsi participer à la lutte contre la falsification de médicament. La combinaison de ces techniques analytiques permet une caractérisation approfondie de l’échantillon. Cependant, peu de techniques analytiques procurent l’ensemble des informations chimiques.L’imagerie chimique Raman est une technique qui répond aux exigences requises pour l’analyse de produits falsifiés sous forme solide. En effet, cette technique peu destructive permet de réutiliser l’échantillon pour des analyses complémentaires. L’imagerie chimique Raman combine les trois disciplines de spectroscopie Raman, microscopie et chimiométrie. Cette technique réalise des mesures successives de spectres Raman sur des zones adjacentes couvrant la surface de l’échantillon. Elle intègre donc des informations spatiales et spectrales. Les méthodes chimiométriques dites de résolution (MCR-ALS et DCLS) analysent le jeu de spectres pour extraire des informations qualitatives (détection des spectres purs du mélange) et des informations quantitatives (estimation de la concentration de la substance active). La méthodologie a été optimisée et validée avec des échantillons préparés en laboratoire, puis appliquée à des échantillons réels authentiques et falsifiés. La sensibilité de la méthode qualitative a été démontrée par la détection d’un principe actif antibiotique à la teneur de 0,3% m/m dans un comprimé à visée anabolisante. De plus la méthode a été capable de détecter les substances utilisées pour le traitement de dysfonctions sexuelles (sildénafil, tadalafil, vardénafil, dapoxétine). Malgré une forte émission de fluorescence, la méthode a réussi à discriminer les 3 sels de clopidogrel (hydrogénosulfate, bésilate et chlorhydrate). L’analyse quantitative directe sur des échantillons de Viagra® et de Plavix® a été jugée convenable avec une déviation de la teneur entre -15% et +24%. Cette déviation est considérée acceptable pour évaluer le risque sanitaire pour le patient et alerter les autorités de santé.Dans le cadre de l’analyse des produits falsifiés, il a été démontré que la micro-spectroscopie Raman associée aux méthodes chimiométriques permet de réaliser un « screening spectroscopique » des composants de l’échantillon, d’identifier les substances chimiques, de visualiser leur distribution sur la surface de l’échantillon et d’estimer leur teneur par « quantification directe »The thesis proposes a rapid methodology of analysis based on the Raman hyperspectral image study of a solid form falsified pharmaceutical product in order to identify the substances in the sample and to estimate the content of the active ingredient in the sample without prior calibration.The presence of falsified pharmaceuticals is a real public health issue. This type of products is easily available on the internet, and many examples show their dangerousness. Many techniques are available for the analysis of these products and thus participate in the fight against drug falsification. The combination of these analytical techniques allows a comprehensive characterization of the sample. However few analytical techniques provide all the chemical information. Raman chemical imaging is a technique that meets the requirements for the analysis of falsified products in solid form. Indeed, this non-destructive technique makes it possible the reuse of the sample for additional testing. Raman chemical imaging combines the three disciplines of Raman spectroscopy, microscopy and chemometrics. This technique performs successive measurements of Raman spectra on adjacent location covering the surface of the sample. It therefore collects spatial and spectral information. The so-called resolution chemometric methods analyse the set of spectra in order to extract qualitative information (detection of pure spectra in the mixture) and quantitative information (estimate of the concentration of the chemical substance). The methodology was optimized and validated with samples prepared in the laboratory, and then applied to genuine and falsified real samples. The sensitivity of the qualitative method was demonstrated with the detection of an antibiotic active ingredient at a content of 0.3% m/m in an anabolic tablet. Moreover, the method was able to distinguish substances used for the treatment of sexual dysfunctions (sildenafil, tadalafil, vardenafil, dapoxetine). Despite a high fluorescence emission, the method successfully discriminated the 3 salts of clopidogrel (hydrogen sulfate, besylate and hydrochloride). Direct quantitative analysis of samples of Viagra® and Plavix® was found to be appropriate with a deviation between -15% and +24%. This deviation is considered acceptable to assess the health risk to the patient and to alert health authorities.For the analysis of falsified products, it has been demonstrated that Raman micro-spectroscopy combined with chemometric methods allows to perform a "spectroscopic screening" of the components in the sample, to identify chemical substances, to visualize their distribution on the sample surface and to estimate their content by "direct quantification"
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Boiret, Mathieu. "Towards chemometric methodologies on hyperspectral imaging for low dose compound detection : application on Raman microscopy." Thesis, Montpellier, 2015. http://www.theses.fr/2015MONTS291.
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L’imagerie hyperspectrale est désormais considérée comme un outil analytique à part entière dans l’industrie pharmaceutique, aussi bien au cours du développement pour assurer la qualité d’un produit que pour résoudre des problématiques de production après la mise sur le marché du médicament. Dans ces travaux, la microscopie Raman est utilisée pour étudier la distribution en principes actifs et excipients au sein d’une forme pharmaceutique solide, en se focalisant tout particulièrement sur l’identification d’un composé faiblement dosé. Ce dernier est défini comme étant un produit ayant de faibles contributions spatiale et spectrale, signifiant qu’il est distribué dans quelques pixels de l’image avec une information spectrale peu présente dans un spectre de mélange. Alors que la plupart des algorithmes chimiométriques se basent sur la décomposition de moments statistiques, nécessitant une variation suffisante entre les échantillons (les pixels d’une image), les limites de ces outils pour résoudre ce cas spécifique sont rapidement atteintes.La première partie de la thèse met en évidence les difficultés de détection d’un composé faiblement dosé en utilisant l’analyse en composantes indépendantes et la résolution multivariée de courbes. Des méthodologies de travail sont proposées pour contourner ces limitations. Pour les deux techniques, les étapes de réduction de dimensions apparaissent comme des paramètres critiques de la méthode. La seconde partie de la thèse se focalise sur l’espace des signaux pour déterminer des cartes d’absence/présence de constituants ou pour détecter des constituants dans une formulation inconnue, en se basant sur des espaces spectraux portant une information relative aux constituants de la formulation. Les techniques proposées sont parfaitement adaptées à la détection d’un composé faiblement dosé et ces méthodes pourraient être adaptées à d’autres techniques de mesure ou d’autres domaines d’applicationHyperspectral imaging is now considered as a powerful analytical tool in the pharmaceutical environment, both during development to ensure the drug product quality and to solve production issues on commercialized products.In this thesis, Raman microscopy is used to study the distribution of actives and excipients in a pharmaceutical drug product, by especially focusing on the identification of a low dose compound. This latter product is defined as a compound which has low spatial and spectra contributions, meaning that it is scattered in a few pixels of the image and that its spectral response is mixed with the other compounds of the formulation. While most chemometric tools are based on the decomposition of statistical moments (requiring sufficient variations between samples or image pixels), some limitations have been rapidly reached. The first part of this thesis highlights the difficulty to detect a low dose compound in a product by using independent component analysis or multivariate curve resolution. Different methodologies are proposed to circumvent these limitations. For both techniques, reduction of dimensions and filtering steps appears as critical parameters of the method. The second part of the thesis focusses on the signal space to determine absence/presence compound maps or to detect the compounds in an unknown formulation. The proposed methods are only based on the spectral space of each formulation compound. There are perfectly suitable to a low dose compound and should be well-adapted to other analytical techniques or to other environments
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Audier, Xavier. "Spectroscopie Raman stimulée rapide et imagerie spectrale." Thesis, Aix-Marseille, 2018. http://www.theses.fr/2018AIXM0580/document.
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En combinant des techniques de microscopie et de spectroscopie, il est possible de réaliser des images résolues spectralement. Ces images apportent des réponses à de nombreux problèmes en chimie, biologie, et médecine. La diffusion Raman cohérente (CRS) s'est révélée capable de surpasser la diffusion Raman spontanée dans l'analyse chimique d'échantillons, en offrant une meilleure résolution spatiale et un temps d'acquisition plus faible. La vitesse d'acquisition de l'information spectrale demeure toutefois un facteur limitant en imagerie CRS, et de nombreuses recherches se concentrent sur le développement de nouvelles méthodes d'acquisition. Le présent travail s'inscrit dans cette démarche. En combinant la diffusion Raman stimulée (une branche de la CRS), la focalisation spectrale d'impulsions optiques, ainsi qu'une ligne à délai acousto-optique, nous réalisons les premières mesures à de telles vitesses d'acquisition. Le cadre théorique, technologique, ainsi que l’ingénierie nécessaire pour parvenir à ce résultat sont détaillés. Cette technique d'acquisition rapide est illustrée par le suivi de réaction chimique, le contrôle qualité pharmaceutique, en biologie, et en histologieCombining microscopy and spectroscopy, one can achieve spectrally resolved imaging, and provide a solution to various chemical, biological, or medical challenges. Coherent Raman scattering (CRS) has proven extremely valuable in providing chemical information, with a higher resolution and shorter acquisition time than spontaneous Raman scattering. The acquisition rate of the spectral information from a sample remains the limiting factor of CRS imaging, and several experimental schemes are being investigated to push the technology toward higher imaging frame rates. This work develops one such scheme. Combining stimulated Raman scattering (a CRS technique), spectral focusing with chirped pulses, and a fast acousto-optic delay line, we achieved unprecedented spectral acquisition rates. The theoretical, technological, and engineering frameworks enabling such acquisition are described in details. The application to pharmaceutical quality control, time resolved chemical transformations, biology, and histology are demonstrated
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Jacq, Kévin. "Traitement d'images multispectrales et spatialisation des données pour la caractérisation de la matière organique des phases solides naturelles. High-resolution prediction of organic matter concentration with hyperspectral imaging on a sediment core High-resolution grain size distribution of sediment core with 2 hyperspectral imaging Study of pansharpening methods applied to hyperspectral images of sediment cores." Thesis, Université Grenoble Alpes (ComUE), 2019. http://www.theses.fr/2019GREAA024.
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L'évolution de l'environnement et le climat sont, actuellement, au centre de toutes les attentions. Les impacts de l'activité des sociétés actuelles et passées sur l'environnement sont notamment questionnés pour mieux anticiper les implications de nos activités sur le futur. Mieux décrire les environnements passés et leurs évolutions sont possibles grâce à l'étude de nombreux enregistreurs naturels (sédiments, spéléothèmes, cernes, coraux). Grâce à eux, il est possible de caractériser des évolutions bio-physico-chimiques à différentes résolutions temporelles et pour différentes périodes. La haute résolution entendue ici comme la résolution su sante pour l'étude de l'environnement en lien avec l'évolution des sociétés constitue le principal verrou de l'étude de ces archives naturelles notamment en raison de la capacité analytique des appareils qui ne peuvent que rarement voir des structures fines inframillimétriques. Ce travail est bâti autour de l'hypothèse que l'utilisation de caméras hyperspectrales (VNIR, SWIR, LIF) couplée à des méthodes statistiques pertinentes doivent permettre d'accéder aux informations spectrales et donc bio-physico-chimiques contenues dans ces archives naturelles à une résolution spatiale de quelques dizaines de micromètres et, donc, de proposer des méthodes pour atteindre la haute résolution temporelle (saisonnière). De plus, a n d'avoir des estimations ables, plusieurs capteurs d'imageries et de spectroscopies linéaires (XRF, TRES) sont utilisés avec leurs propres caractéristiques (résolutions, gammes spectrales, interactions atomiques/moléculaires). Ces méthodes analytiques sont utilisées pour la caractérisation de la surface des carottes sédimentaires. Ces analyses spectrales micrométriques sont mises en correspondance avec des analyses géochimiques millimétriques usuelles. Optimiser la complémentarité de toutes ces données, implique de développer des méthodes permettant de dépasser la difficulté inhérente au couplage de données considérées par essence dissimilaire (résolutions, décalages spatiaux, non-recouvrement spectral). Ainsi, quatre méthodes ont été développées. La première consiste à associer les méthodes hyperspectrales et usuelles pour la création de modèles prédictifs quantitatifs. La seconde permet le recalage spatial des différentes images hyperspectrales à la plus basse des résolutions. La troisième s'intéresse à la fusion de ces dernières à la plus haute des résolutions. Enfin, la dernière s'intéresse aux dépôts présents dans les sédiments (lamines, crues, tephras) pour ajouter une dimension temporelle à nos études. Grâce à l'ensemble de ces informations et méthodes, des modèles prédictifs multivariés ont été estimés pour l'étude de la matière organique, des paramètres texturaux et de la distribution granulométrique. Les dépôts laminés et instantanés au sein des échantillons ont été caractérisés. Ceci a permis d'estimer des chroniques de crues, ainsi que des variations biophysico-chimiques à l'échelle de la saison. L'imagerie hyperspectrale couplée à des méthodes d'analyse des données sont donc des outils performants pour l'étude des archives naturelles à des résolutions temporelles fines. L'approfondissement des approches proposées dans ces travaux permettra d'étudier de multiples archives pour caractériser des évolutions à l'échelle d'un ou de plusieurs bassin(s) versant(s)The evolution of the environment and climate are, currently, the focus of all attention. The impacts of the activities of present and past societies on the environment are in particular questioned in order to better anticipate the implications of our current activities on the future. Better describing past environments and their evolutions are possible thanks to the study of many natural recorders (sediments, speleothems, tree rings, corals). Thanks to them, it is possible to characterize biological-physical-chemical evolutions at di erent temporal resolutions and for di erent periods. The high resolution understood here as the su cient resolution for the study of the environment in connection with the evolution of societies constitutes the main lock of the study of these natural archives in particular because of the analytical capacity devices that can only rarely see ne inframillimetre structures. This work is built on the assumption that the use of hyperspectral sensors (VNIR, SWIR, LIF) coupled with relevant statistical methods should allow access to the spectral and therefore biological-physical-chemical contained in these natural archives at a spatial resolution of a few tens of micrometers and, therefore, to propose methods to reach the high temporal resolution (season). Besides, to obtain reliable estimates, several imaging sensors and linear spectroscopy (XRF, TRES) are used with their own characteristics (resolutions, spectral ranges, atomic/molecular interactions). These analytical methods are used for surface characterization of sediment cores. These micrometric spectral analyses are mapped to usual millimeter geochemical analyses. Optimizing the complementarity of all these data involves developing methods to overcome the di culty inherent in coupling data considered essentially dissimilar (resolutions, spatial shifts, spectral non-recovery). Thus, four methods were developed. The rst consists in combining hyperspectral and usual methods for the creation of quantitative predictive models. The second allows the spatial registration of di erent hyperspectral images at the lowest resolution. The third focuses on their merging with the highest of the resolutions. Finally, the last one focuses on deposits in sediments (laminae, oods, tephras) to add a temporal dimension to our studies. Through all this information and methods, multivariate predictive models were estimated for the study of organic matter, textural parameters and particle size distribution. The laminated and instantaneous deposits within the samples were characterized. These made it possible to estimate oods chronicles, as well as biological-physical-chemical variations at the season scale. Hyperspectral imaging coupled with data analysis methods are therefore powerful tools for the study of natural archives at ne temporal resolutions. The further development of the approaches proposed in this work will make it possible to study multiple archives to characterize evolutions at the scale of one or more watershed(s)
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Polam, Anudeep. "Thermal and Draw Induced Crystallinity in Poly-L-Lactic Acid Fibers." Cleveland State University / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=csu1439843418.
Full textBooks on the topic "Hyperspectral imaging spectroscopy"
1
United States. National Aeronautics and Space Administration., ed. Planetary Hyperspectral Imager (PHI): PIDDP, final report. Danbury, CT: Hughes Danbury Optical Systems, 1996.
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2
Rubtsov, Nickolai, Mikhail Alymov, Alexander Kalinin, Alexey Vinogradov, Alexey Rodionov, and Kirill Troshin. Remote studies of combustion and explosion processes based on optoelectronic methods. au: AUS PUBLISHERS, 2022. http://dx.doi.org/10.26526/monography_62876066a124d8.04785158.
Full textAbstract:
The main objective of this book is to acquaint the reader with the main modern problems of
the multisensor data analysis and opportunities of the hyperspectral shooting being carried out in the
wide range of wavelengths from ultraviolet to the infrared range, visualization of the fast combustion
processes of flame propagation and flame acceleration, the limit phenomena at flame ignition and
propagation. The book can be useful to students of the high courses and scientists dealing with problems
of optical spectroscopy, vizualisation, digital recognizing images and gaseous combustion.
The main goal of this book is to bring to the attention of the reader the main modern
problems of multisensory data analysis and the possibilities of hyperspectral imaging, carried out
in a broad wave-length range from ultraviolet to infrared by methods of visualizing fast combustion
processes, propagation and flames acceleration, and limiting phenomena during ignition and flame
propagation. The book can be useful for students of higher courses and experimental scientists dealing
with problems of optical spectroscopy, visualization, pattern recognition and gas combustion.
3
Toronov, Vladislav, Mamadou Diop, Angelo Sassaroli, and Ilias Tachtsidis, eds. Advances in Hyperspectral and Multispectral Optical Spectroscopy and Imaging of Tissue. MDPI, 2022. http://dx.doi.org/10.3390/books978-3-0365-4478-6.
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4
Chang. Hyperspectral Imaging. John Wiley & Sons Inc, 2007.
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5
Chang, Chein-I. Hyperspectral Data Processing: Algorithm Design and Analysis. Wiley & Sons, Limited, John, 2013.
Find full textBook chapters on the topic "Hyperspectral imaging spectroscopy"
1
Rubtsov, Nickolai, Mikhail Alymov, Alexander Kalinin, Alexey Vinogradov, Alexey Rodionov, and Kirill Troshin. "Detecting the regularities of propagation of an unstable flame front using optical 4D spectroscopy and color high-speed filming." In Remote studies of combustion and explosion processes based on optoelectronic methods, 103–25. au: AUS PUBLISHERS, 2022. http://dx.doi.org/10.26526/chapter_62876066bbdb05.08303225.
Full textAbstract:
The main objective of this book is to acquaint the reader with the main modern problems of the multisensor data analysis and opportunities of the hyperspectral shooting being carried out in the wide range of wavelengths from ultraviolet to the infrared range, visualization of the fast combustion processes of flame propagation and flame acceleration, the limit phenomena at flame ignition and propagation. The book can be useful to students of the high courses and scientists dealing with problems of optical spectroscopy, vizualisation, digital recognizing images and gaseous combustion. The main goal of this book is to bring to the attention of the reader the main modern problems of multisensory data analysis and the possibilities of hyperspectral imaging, carried out in a broad wave-length range from ultraviolet to infrared by methods of visualizing fast combustion processes, propagation and flames acceleration, and limiting phenomena during ignition and flame propagation. The book can be useful for students of higher courses and experimental scientists dealing with problems of optical spectroscopy, visualization, pattern recognition and gas combustion.
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Rubtsov, Nickolai, Mikhail Alymov, Alexander Kalinin, Alexey Vinogradov, Alexey Rodionov, and Kirill Troshin. "The use of high-speed optical multidimensional technique to determine the characteristics of ignition and combustion of 40% H2 - air mix in the presence of platinum metal." In Remote studies of combustion and explosion processes based on optoelectronic methods, 126–51. au: AUS PUBLISHERS, 2022. http://dx.doi.org/10.26526/chapter_62876066bef2a8.05945792.
Full textAbstract:
The main objective of this book is to acquaint the reader with the main modern problems of the multisensor data analysis and opportunities of the hyperspectral shooting being carried out in the wide range of wavelengths from ultraviolet to the infrared range, visualization of the fast combustion processes of flame propagation and flame acceleration, the limit phenomena at flame ignition and propagation. The book can be useful to students of the high courses and scientists dealing with problems of optical spectroscopy, vizualisation, digital recognizing images and gaseous combustion. The main goal of this book is to bring to the attention of the reader the main modern problems of multisensory data analysis and the possibilities of hyperspectral imaging, carried out in a broad wave-length range from ultraviolet to infrared by methods of visualizing fast combustion processes, propagation and flames acceleration, and limiting phenomena during ignition and flame propagation. The book can be useful for students of higher courses and experimental scientists dealing with problems of optical spectroscopy, visualization, pattern recognition and gas combustion.
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Rubtsov, Nickolai, Mikhail Alymov, Alexander Kalinin, Alexey Vinogradov, Alexey Rodionov, and Kirill Troshin. "Study of the combustion of hydrogen-air and hydrogen-hydrocarbon (C1- C6) -air mixtures over the surface of palladium metal with the combined use of a hyperspectral sensor and high-speed color filming." In Remote studies of combustion and explosion processes based on optoelectronic methods, 202–36. au: AUS PUBLISHERS, 2022. http://dx.doi.org/10.26526/chapter_62876066c51665.20097229.
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The main objective of this book is to acquaint the reader with the main modern problems of the multisensor data analysis and opportunities of the hyperspectral shooting being carried out in the wide range of wavelengths from ultraviolet to the infrared range, visualization of the fast combustion processes of flame propagation and flame acceleration, the limit phenomena at flame ignition and propagation. The book can be useful to students of the high courses and scientists dealing with problems of optical spectroscopy, vizualisation, digital recognizing images and gaseous combustion. The main goal of this book is to bring to the attention of the reader the main modern problems of multisensory data analysis and the possibilities of hyperspectral imaging, carried out in a broad wave-length range from ultraviolet to infrared by methods of visualizing fast combustion processes, propagation and flames acceleration, and limiting phenomena during ignition and flame propagation. The book can be useful for students of higher courses and experimental scientists dealing with problems of optical spectroscopy, visualization, pattern recognition and gas combustion.
4
Rubtsov, Nickolai, Mikhail Alymov, Alexander Kalinin, Alexey Vinogradov, Alexey Rodionov, and Kirill Troshin. "Determination of the features of combustion of nanopowders and their compacted samples by the methods of visible and infrared filming." In Remote studies of combustion and explosion processes based on optoelectronic methods, 237–61. au: AUS PUBLISHERS, 2022. http://dx.doi.org/10.26526/chapter_62876066c82414.05714648.
Full textAbstract:
The main objective of this book is to acquaint the reader with the main modern problems of the multisensor data analysis and opportunities of the hyperspectral shooting being carried out in the wide range of wavelengths from ultraviolet to the infrared range, visualization of the fast combustion processes of flame propagation and flame acceleration, the limit phenomena at flame ignition and propagation. The book can be useful to students of the high courses and scientists dealing with problems of optical spectroscopy, vizualisation, digital recognizing images and gaseous combustion. The main goal of this book is to bring to the attention of the reader the main modern problems of multisensory data analysis and the possibilities of hyperspectral imaging, carried out in a broad wave-length range from ultraviolet to infrared by methods of visualizing fast combustion processes, propagation and flames acceleration, and limiting phenomena during ignition and flame propagation. The book can be useful for students of higher courses and experimental scientists dealing with problems of optical spectroscopy, visualization, pattern recognition and gas combustion.
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Rubtsov, Nickolai, Mikhail Alymov, Alexander Kalinin, Alexey Vinogradov, Alexey Rodionov, and Kirill Troshin. "Determining the gas-dynamic and kinetic features of the penetration of methane-oxygen flames through obstacles by using 4D spectroscopy and high-speed filming." In Remote studies of combustion and explosion processes based on optoelectronic methods, 152–201. au: AUS PUBLISHERS, 2022. http://dx.doi.org/10.26526/chapter_62876066c1f968.61934614.
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The main objective of this book is to acquaint the reader with the main modern problems of the multisensor data analysis and opportunities of the hyperspectral shooting being carried out in the wide range of wavelengths from ultraviolet to the infrared range, visualization of the fast combustion processes of flame propagation and flame acceleration, the limit phenomena at flame ignition and propagation. The book can be useful to students of the high courses and scientists dealing with problems of optical spectroscopy, vizualisation, digital recognizing images and gaseous combustion. The main goal of this book is to bring to the attention of the reader the main modern problems of multisensory data analysis and the possibilities of hyperspectral imaging, carried out in a broad wave-length range from ultraviolet to infrared by methods of visualizing fast combustion processes, propagation and flames acceleration, and limiting phenomena during ignition and flame propagation. The book can be useful for students of higher courses and experimental scientists dealing with problems of optical spectroscopy, visualization, pattern recognition and gas combustion.
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Rubtsov, Nickolai, Mikhail Alymov, Alexander Kalinin, Alexey Vinogradov, Alexey Rodionov, and Kirill Troshin. "Methods and means of remote sensing in the optical range." In Remote studies of combustion and explosion processes based on optoelectronic methods, 18–28. au: AUS PUBLISHERS, 2022. http://dx.doi.org/10.26526/chapter_62876066b31e97.40925202.
Full textAbstract:
The main objective of this book is to acquaint the reader with the main modern problems of the multisensor data analysis and opportunities of the hyperspectral shooting being carried out in the wide range of wavelengths from ultraviolet to the infrared range, visualization of the fast combustion processes of flame propagation and flame acceleration, the limit phenomena at flame ignition and propagation. The book can be useful to students of the high courses and scientists dealing with problems of optical spectroscopy, vizualisation, digital recognizing images and gaseous combustion. The main goal of this book is to bring to the attention of the reader the main modern problems of multisensory data analysis and the possibilities of hyperspectral imaging, carried out in a broad wave-length range from ultraviolet to infrared by methods of visualizing fast combustion processes, propagation and flames acceleration, and limiting phenomena during ignition and flame propagation. The book can be useful for students of higher courses and experimental scientists dealing with problems of optical spectroscopy, visualization, pattern recognition and gas combustion.
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Rubtsov, Nickolai, Mikhail Alymov, Alexander Kalinin, Alexey Vinogradov, Alexey Rodionov, and Kirill Troshin. "Optoelectronic devices and methods for studying combustion and explosion processes." In Remote studies of combustion and explosion processes based on optoelectronic methods, 29–45. au: AUS PUBLISHERS, 2022. http://dx.doi.org/10.26526/chapter_62876066b5f307.71425279.
Full textAbstract:
The main objective of this book is to acquaint the reader with the main modern problems of the multisensor data analysis and opportunities of the hyperspectral shooting being carried out in the wide range of wavelengths from ultraviolet to the infrared range, visualization of the fast combustion processes of flame propagation and flame acceleration, the limit phenomena at flame ignition and propagation. The book can be useful to students of the high courses and scientists dealing with problems of optical spectroscopy, vizualisation, digital recognizing images and gaseous combustion. The main goal of this book is to bring to the attention of the reader the main modern problems of multisensory data analysis and the possibilities of hyperspectral imaging, carried out in a broad wave-length range from ultraviolet to infrared by methods of visualizing fast combustion processes, propagation and flames acceleration, and limiting phenomena during ignition and flame propagation. The book can be useful for students of higher courses and experimental scientists dealing with problems of optical spectroscopy, visualization, pattern recognition and gas combustion.
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Rubtsov, Nickolai, Mikhail Alymov, Alexander Kalinin, Alexey Vinogradov, Alexey Rodionov, and Kirill Troshin. "Investigation of the instabilities arising from the hydrogen and hydrocarbon flames propagation by the method of high-speed filming." In Remote studies of combustion and explosion processes based on optoelectronic methods, 46–102. au: AUS PUBLISHERS, 2022. http://dx.doi.org/10.26526/chapter_62876066b8c340.88097326.
Full textAbstract:
The main objective of this book is to acquaint the reader with the main modern problems of the multisensor data analysis and opportunities of the hyperspectral shooting being carried out in the wide range of wavelengths from ultraviolet to the infrared range, visualization of the fast combustion processes of flame propagation and flame acceleration, the limit phenomena at flame ignition and propagation. The book can be useful to students of the high courses and scientists dealing with problems of optical spectroscopy, vizualisation, digital recognizing images and gaseous combustion. The main goal of this book is to bring to the attention of the reader the main modern problems of multisensory data analysis and the possibilities of hyperspectral imaging, carried out in a broad wave-length range from ultraviolet to infrared by methods of visualizing fast combustion processes, propagation and flames acceleration, and limiting phenomena during ignition and flame propagation. The book can be useful for students of higher courses and experimental scientists dealing with problems of optical spectroscopy, visualization, pattern recognition and gas combustion.
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Dâna, Aykutlu. "Hyperspectral Stochastic Optical Reconstruction Raman Microscopy for Label-Free Super-Resolution Imaging Using Surface Enhanced Raman Spectroscopy." In Nanotechnology to Aid Chemical and Biological Defense, 207–21. Dordrecht: Springer Netherlands, 2015. http://dx.doi.org/10.1007/978-94-017-7218-1_14.
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Robert, Pauline, Charlotte Brault, Renaud Rincent, and Vincent Segura. "Phenomic Selection: A New and Efficient Alternative to Genomic Selection." In Methods in Molecular Biology, 397–420. New York, NY: Springer US, 2022. http://dx.doi.org/10.1007/978-1-0716-2205-6_14.
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AbstractRecently, it has been proposed to switch molecular markers to near-infrared (NIR) spectra for inferring relationships between individuals and further performing phenomic selection (PS), analogous to genomic selection (GS). The PS concept is similar to genomic-like omics-based (GLOB) selection, in which molecular markers are replaced by endophenotypes, such as metabolites or transcript levels, except that the phenomic information obtained for instance by near-infrared spectroscopy (NIRS) has usually a much lower cost than other omics. Though NIRS has been routinely used in breeding for several decades, especially to deal with end-product quality traits, its use to predict other traits of interest and further make selections is new. Since the seminal paper on PS, several publications have advocated the use of spectral acquisition (including NIRS and hyperspectral imaging) in plant breeding towards PS, potentially providing a scope of what is possible. In the present chapter, we first come back to the concept of PS as originally proposed and provide a classification of selected papers related to the use of phenomics in breeding. We further provide a review of the selected literature concerning the type of technology used, the preprocessing of the spectra, and the statistical modeling to make predictions. We discuss the factors that likely affect the efficiency of PS and compare it to GS in terms of predictive ability. Finally, we propose several prospects for future work and application of PS in the context of plant breeding.
Conference papers on the topic "Hyperspectral imaging spectroscopy"
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Martín-Mateos, Pedro, and Guillermo Guarnizo. "Towards Hyperspectral Dual-Comb Imaging." In Fourier Transform Spectroscopy. Washington, D.C.: OSA, 2019. http://dx.doi.org/10.1364/fts.2019.fw5b.2.
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Mateos, Pedro Martín. "Direct Hyperspectral Dual-Comb Imaging." In Applied Industrial Spectroscopy. Washington, D.C.: OSA, 2021. http://dx.doi.org/10.1364/ais.2021.jtu2e.1.
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Jung, András, Matthias Locherer, and René Heine. "Video spectroscopy and high-speed hyperspectral imaging." In Hyperspectral Imaging and Applications, edited by Jinchang Ren and Stephen Marshall. SPIE, 2020. http://dx.doi.org/10.1117/12.2583481.
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Downing, James, and Andrew R. Harvey. "Multi-aperture hyperspectral imaging." In Applied Industrial Optics: Spectroscopy, Imaging and Metrology. Washington, D.C.: OSA, 2013. http://dx.doi.org/10.1364/aio.2013.jw2b.2.
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Prel, Florent, Louis Moreau, Stephane Lantagne, Christian Vallières, Claude Roy, and Luc Levesque. "MR-i, high speed hyperspectral imaging spectroradiometer." In Fourier Transform Spectroscopy. Washington, D.C.: OSA, 2011. http://dx.doi.org/10.1364/fts.2011.ftud3.
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Xu, Zhilong, Jianglan Ning, Yingge Xie, Rui Zhang, Dan Wu, Jian Wang, and Wenyi Ren. "Compressive Imaging Hyperspectral Polarimeter based on LCVR." In Applied Industrial Spectroscopy. Washington, D.C.: OSA, 2021. http://dx.doi.org/10.1364/ais.2021.jth6a.41.
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Yu, Hui, Zhi-jie ZHANG, Bo Lei, and Chensheng WANG. "Hyperspectral image compressing using wavelet-based method." In Optical Spectroscopy and Imaging, edited by Tsutomu Shimura, Mengxia Xie, Bing Zhao, Jin Yu, Zhe Wang, Wei Hang, and Xiandeng Hou. SPIE, 2017. http://dx.doi.org/10.1117/12.2285781.
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Bentley, Alexander, Jonathan E. Rowe, and Hamid Dehghani. "Compressive sensing based hyperspectral bioluminescence imaging." In Diffuse Optical Spectroscopy and Imaging, edited by Hamid Dehghani and Heidrun Wabnitz. SPIE, 2019. http://dx.doi.org/10.1117/12.2526965.
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Muro, Gabriel, Huw Morgan, Matthew D. Gunn, Shadia R. Habbal, and Adelbert Ding. "Probing the mysteries of the solar atmosphere with high-resolution spectroscopy." In Hyperspectral Imaging and Applications, edited by Jinchang Ren and Stephen Marshall. SPIE, 2020. http://dx.doi.org/10.1117/12.2584842.
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Dwyer, Peter J., and Charles A. DiMarzio. "Hyperspectral imaging for dermal hemoglobin spectroscopy." In SPIE's International Symposium on Optical Science, Engineering, and Instrumentation, edited by Cam Nguyen. SPIE, 1999. http://dx.doi.org/10.1117/12.365686.
Full textReports on the topic "Hyperspectral imaging spectroscopy"
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Bissett, W. P. High Altitude Hyperspectral Imaging Spectroscopy. Fort Belvoir, VA: Defense Technical Information Center, August 2005. http://dx.doi.org/10.21236/ada439987.
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Bonfil, David J., Daniel S. Long, and Yafit Cohen. Remote Sensing of Crop Physiological Parameters for Improved Nitrogen Management in Semi-Arid Wheat Production Systems. United States Department of Agriculture, January 2008. http://dx.doi.org/10.32747/2008.7696531.bard.
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To reduce financial risk and N losses to the environment, fertilization methods are needed that improve NUE and increase the quality of wheat. In the literature, ample attention is given to grid-based and zone-based soil testing to determine the soil N available early in the growing season. Plus, information is available on in-season N topdressing applications as a means of improving GPC. However, the vast majority of research has focused on wheat that is grown under N limiting conditions in sub-humid regions and irrigated fields. Less attention has been given to wheat in dryland that is water limited. The objectives of this study were to: (1) determine accuracy in determining GPC of HRSW in Israel and SWWW in Oregon using on-combine optical sensors under field conditions; (2) develop a quantitative relationship between image spectral reflectance and effective crop physiological parameters; (3) develop an operational precision N management procedure that combines variable-rate N recommendations at planting as derived from maps of grain yield, GPC, and test weight; and at mid-season as derived from quantitative relationships, remote sensing, and the DSS; and (4) address the economic and technology-transfer aspects of producers’ needs. Results from the research suggest that optical sensing and the DSS can be used for estimating the N status of dryland wheat and deciding whether additional N is needed to improve GPC. Significant findings include: 1. In-line NIR reflectance spectroscopy can be used to rapidly and accurately (SEP <5.0 mg g⁻¹) measure GPC of a grain stream conveyed by an auger. 2. On-combine NIR spectroscopy can be used to accurately estimate (R² < 0.88) grain test weight across fields. 3. Precision N management based on N removal increases GPC, grain yield, and profitability in rainfed wheat. 4. Hyperspectral SI and partial least squares (PLS) models have excellent potential for estimation of biomass, and water and N contents of wheat. 5. A novel heading index can be used to monitor spike emergence of wheat with classification accuracy between 53 and 83%. 6. Index MCARI/MTVI2 promises to improve remote sensing of wheat N status where water- not soil N fertility, is the main driver of plant growth. Important features include: (a) computable from commercial aerospace imagery that include the red edge waveband, (b) sensitive to Chl and resistant to variation in crop biomass, and (c) accommodates variation in soil reflectance. Findings #1 and #2 above enable growers to further implement an efficient, low cost PNM approach using commercially available on-combine optical sensors. Finding #3 suggests that profit opportunities may exist from PNM based on information from on-combine sensing and aerospace remote sensing. Finding #4, with its emphasis on data retrieval and accuracy, enhances the potential usefulness of a DSS as a tool for field crop management. Finding #5 enables land managers to use a DSS to ascertain at mid-season whether a wheat crop should be harvested for grain or forage. Finding #6a expands potential commercial opportunities of MS imagery and thus has special importance to a majority of aerospace imaging firms specializing in the acquisition and utilization of these data. Finding #6b on index MCARI/MVTI2 has great potential to expand use of ground-based sensing and in-season N management to millions of hectares of land in semiarid environments where water- not N, is the main determinant of grain yield. Finding #6c demonstrates that MCARI/MTVI2 may alleviate the requirement of multiple N-rich reference strips to account for soil differences within farm fields. This simplicity will be less demanding of grower resources, promising substantially greater acceptance of sensing technologies for in-season N management.