Thematische Bibliographien / Broadband hyperspectral imaging

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Auswahl der wissenschaftlichen Literatur zum Thema „Broadband hyperspectral imaging“

Autor: Grafiati

Veröffentlicht am 25. Mai 2024

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Zeitschriftenartikel zum Thema "Broadband hyperspectral imaging"

Arieli, U., M. Mrejen und H. Suchowski. „Broadband coherent hyperspectral near-field imaging of plasmonic nanostructures“. Optics Express 27, Nr. 7 (25.03.2019): 9815. http://dx.doi.org/10.1364/oe.27.009815.

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Boniface, Antoine, Ivan Gusachenko, Kishan Dholakia und Sylvain Gigan. „Rapid broadband characterization of scattering medium using hyperspectral imaging“. Optica 6, Nr. 3 (04.03.2019): 274. http://dx.doi.org/10.1364/optica.6.000274.

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Muddiman, Ryan, und Bryan Hennelly. „Broadband CARS high-throughput single-cell imaging“. EPJ Web of Conferences 287 (2023): 03018. http://dx.doi.org/10.1051/epjconf/202328703018.

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Broadband Coherent anti-Stokes Raman Scattering (BCARS) enables the whole vibrational spectrum of cytologically prepared samples to be obtained using a hyperspectral raster scan approach. This technique has the potential to enable high-throughput automated detection of cell abnormalities. Images are distorted by the non-resonant background which requires a treatment for proper analysis. Using statistical denoising and phase retrieval returns Raman spectra similar to that of a spontaneous Raman measurement. Here, we present our work using this method for single-cell imaging of PEO1 ovarian adenocarcinoma cells prepared with the ThinPrep processor which enables label-free Raman cytology.

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Pei, Zhongming, Yong Mao Huang und Ting Zhou. „Review on Analysis Methods Enabled by Hyperspectral Imaging for Cultural Relic Conservation“. Photonics 10, Nr. 10 (29.09.2023): 1104. http://dx.doi.org/10.3390/photonics10101104.

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In this review, the conservation methods for various types of cultural relics enabled by hyperspectral imaging are summarized, and the hyperspectral cameras and techniques utilized in the process from data acquisition to analyzation are introduced. Hyperspectral imaging is characterized by non-contact detection, broadband, and high resolution, which are of great significance to the non-destructive investigation of cultural relics. However, owing to the wide variety of cultural relics, the utilized equipment and methods vary greatly in the investigations of the associated conservation. Previous studies generally select a single type of cultural relic for conservation. That is, seldom study has focused on the application of hyperspectral techniques to generalized conservation methods that are simultaneously suitable for different types of cultural relics. Hence, some widely used hyperspectral cameras and imaging systems are introduced first. Subsequently, according to the previous investigations, the methods used for image acquisition, image correction, and data dimensionality reduction in hyperspectral techniques are described. Thirdly, a summary of methods in cultural relic conservation based on hyperspectral techniques is presented, which involves pigments, grottoes and murals, and painting and calligraphy. Later, some challenges and potential development prospects in hyperspectral-based methods are discussed for future study. Finally, the conclusions are given.

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Gattinger, Paul, Jakob Kilgus, Ivan Zorin, Gregor Langer, Ramin Nikzad-Langerodi, Christian Rankl, Martin Gröschl und Markus Brandstetter. „Broadband near-infrared hyperspectral single pixel imaging for chemical characterization“. Optics Express 27, Nr. 9 (19.04.2019): 12666. http://dx.doi.org/10.1364/oe.27.012666.

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Judd, K. Peter. „Passive shortwave infrared broadband and hyperspectral imaging in a maritime environment“. Optical Engineering 51, Nr. 1 (09.02.2012): 013202. http://dx.doi.org/10.1117/1.oe.51.1.013202.

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Kho, Esther, Behdad Dashtbozorg, Lisanne L. de Boer, Koen K. Van de Vijver, Henricus J. C. M. Sterenborg und Theo J. M. Ruers. „Broadband hyperspectral imaging for breast tumor detection using spectral and spatial information“. Biomedical Optics Express 10, Nr. 9 (07.08.2019): 4496. http://dx.doi.org/10.1364/boe.10.004496.

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Ozeki, Yasuyuki, Wataru Umemura, Kazuhiko Sumimura, Norihiko Nishizawa, Kiichi Fukui und Kazuyoshi Itoh. „Stimulated Raman hyperspectral imaging based on spectral filtering of broadband fiber laser pulses“. Optics Letters 37, Nr. 3 (01.02.2012): 431. http://dx.doi.org/10.1364/ol.37.000431.

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Levy, Joseph, S. Craig Cary, Kurt Joy und Charles K. Lee. „Detection and community-level identification of microbial mats in the McMurdo Dry Valleys using drone-based hyperspectral reflectance imaging“. Antarctic Science 32, Nr. 5 (19.05.2020): 367–81. http://dx.doi.org/10.1017/s0954102020000243.

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AbstractThe reflectance spectroscopic characteristics of cyanobacteria-dominated microbial mats in the McMurdo Dry Valleys (MDVs) were measured using a hyperspectral point spectrometer aboard an unmanned aerial system (remotely piloted aircraft system, unmanned aerial vehicle or drone) to determine whether mat presence, type and activity could be mapped at a spatial scale sufficient to characterize inter-annual change. Mats near Howard Glacier and Canada Glacier (ASPA 131) were mapped and mat samples were collected for DNA-based microbiome analysis. Although a broadband spectral parameter (a partial normalized difference vegetation index) identified mats, it missed mats in comparatively deep (> 10 cm) water or on bouldery surfaces where mats occupied fringing moats. A hyperspectral parameter (B6) did not have these shortcomings and recorded a larger dynamic range at both sites. When linked with colour orthomosaic data, B6 band strength is shown to be capable of characterizing the presence, type and activity of cyanobacteria-dominated mats in and around MDV streams. 16S rRNA gene polymerase chain reaction amplicon sequencing analysis of the mat samples revealed that dominant cyanobacterial taxa differed between spectrally distinguishable mats, indicating that spectral differences reflect underlying biological distinctiveness. Combined rapid-repeat hyperspectral measurements can be applied in order to monitor the distribution and activity of sentinel microbial ecosystems across the terrestrial Antarctic.

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Wang, Chang, Xinyu Liu, Yang Zhang, Yan Sun, Zeqing Yu und Zhenrong Zheng. „Dual-Channel Switchable Metasurface Filters for Compact Spectral Imaging with Deep Compressive Reconstruction“. Nanomaterials 13, Nr. 21 (27.10.2023): 2854. http://dx.doi.org/10.3390/nano13212854.

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Spectral imaging technology, which aims to capture images across multiple spectral channels and create a spectral data cube, has been widely utilized in various fields. However, conventional spectral imaging systems face challenges, such as slow acquisition speed and large size. The rapid development of optical metasurfaces, capable of manipulating light fields versatilely and miniaturizing optical components into ultrathin planar devices, offers a promising solution for compact hyperspectral imaging (HSI). This study proposes a compact snapshot compressive spectral imaging (SCSI) system by leveraging the spectral modulations of metasurfaces with dual-channel switchable metasurface filters and employing a deep-learning-based reconstruction algorithm. To achieve compactness, the proposed system integrates dual-channel switchable metasurface filters using twisted nematic liquid crystals (TNLCs) and anisotropic titanium dioxide (TiO2) nanostructures. These thin metasurface filters are closely attached to the image sensor, resulting in a compact system. The TNLCs possess a broadband linear polarization conversion ability, enabling the rapid switching of the incidence polarization state between x-polarization and y-polarization by applying different voltages. This polarization conversion facilitates the generation of two groups of transmittance spectra for wavelength-encoding, providing richer information for spectral data cube reconstruction compared to that of other snapshot compressive spectral imaging techniques. In addition, instead of employing classic iterative compressive sensing (CS) algorithms, an end-to-end residual neural network (ResNet) is utilized to reconstruct the spectral data cube. This neural network leverages the 2-frame snapshot measurements of orthogonal polarization channels. The proposed hyperspectral imaging technology demonstrates superior reconstruction quality and speed compared to those of the traditional compressive hyperspectral image recovery methods. As a result, it is expected that this technology will have substantial implications in various domains, including but not limited to object detection, face recognition, food safety, biomedical imaging, agriculture surveillance, and so on.

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Dissertationen zum Thema "Broadband hyperspectral imaging"

Gouisset, Emmanuel. „Développement et étude de la réponse instrumentale d'un imageur hyperspectral large bande (UV-Visible-NIR) permettant la caractérisation physico-chimique de contaminants sur surfaces sensibles d’engins orbitaux“. Electronic Thesis or Diss., Sorbonne université, 2022. http://www.theses.fr/2022SORUS139.

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Dans le domaine de l’analyse de défaillance et plus particulièrement la contamination moléculaire et particulaire, il est crucial de pouvoir détecter toute trace de contaminants durant l’intégration d’un engin orbital. Dans ce contexte, la fluorescence permet non seulement de détecter mais aussi de discriminer les contaminants. Pour ce projet, nous avons donc développé un instrument hyperspectral large-bande (UV-Vis-NIR) de 330 à 1000 nm pour pouvoir détecter un large panel de contaminants. Il s’agit d’un montage catoptrique permettant de s’affranchir des aberrations chromatiques. Il présente un champ de vue de 3,5° pour une résolution angulaire de 25 secondes d’arc. Il a été conçu pour être portable et son ensemble mécanique figé permet un alignement optique simple à mettre en œuvre et une réalisation rapide des fichiers de calibration entre deux scènes. Nous avons mesuré une résolution spectrale de 1 nm dans l’UV, 2 à 3 nm dans le visible et 5 nm dans le NIR. Cela nous a permis d’étudier la réponse en fluorescence de deux colles époxy, sources typiques de la contamination d’engin orbital et de la comparer avec une mesure obtenue avec un instrument commercial. Ces mesures nous ont permis d’évaluer les performances de notre instrument et d’identifier des perspectives d’amélioration, notamment en termes de sensibilité dans les UV
In the field of failure analysis and in particular molecular and particulate contamination, being able to detect any trace of contaminants during the integration of an orbital spacecraft is crucial. In this context, fluorescence allows not only to detect but also to discriminate contaminants. For this project, we have therefore developed a broadband hyperspectral instrument (UV-Vis-NIR) from 330 to 1000 nm to be able to detect a wide range of contaminants. It is a catoptric assembly that eliminates chromatic aberrations. The field of view is 3.5° for an angular resolution of 25 arc seconds. It was designed to be portable and its fixed mechanical assembly allows easy optical alignment and rapid creation of calibration files between two scenes. We measured a spectral resolution of 1 nm in the UV range, 2 to 3 nm in the visible range and 5 nm in the NIR range. This allowed us to study the fluorescence response of two epoxy glues, typical sources of orbital spacecraft contamination, and to compare it with a measurement obtained with a commercial instrument. These measurements allowed us to evaluate the performance of our instrument and identify prospects of improvement, especially in terms of sensitivity in UV range

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Buchteile zum Thema "Broadband hyperspectral imaging"

Zhou, Jian, Shuijie Wang und Qianqian Cheng. „Target Detection of Hyperspectral Images“. In Frontiers in Artificial Intelligence and Applications. IOS Press, 2023. http://dx.doi.org/10.3233/faia230889.

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Hyperspectral imaging can detect targets that cannot be detected in broadband remote sensing, greatly improving the ability to describe and distinguish ground object categories. However, the increase in band dimensionality also brings many problems, such as insufficient samples, high dimensionality, and a large amount of redundant information, which poses a huge challenge to feature extraction in hyperspectral images. This article reviews hyperspectral image feature extraction algorithms from four aspects: dimensionality reduction, feature extraction, feature matching, and image synthesis. Elaborated on the advantages and disadvantages of various algorithms. This article reviews classification algorithms for remote sensing images from two aspects: feature space method and spectral matching method. Elaborated on the iteration and comparison of traditional algorithms and new technologies. At the same time, from the perspective of the drone industry, the difficulties faced by existing algorithms and the development trend of hyperspectral images were elaborated. It is particularly critical to select accurate methods based on actual data in specific applications.

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Konferenzberichte zum Thema "Broadband hyperspectral imaging"

Placke, Marlon, Chiara Lindner, Inna Kviatkovsky, Helen M. Chrzanowski, Frank Kühnemann und Sven Ramelow. „Fourier-transform mid-IR hyperspectral imaging with undetected photons“. In CLEO: Applications and Technology. Washington, D.C.: Optica Publishing Group, 2023. http://dx.doi.org/10.1364/cleo_at.2023.am2n.4.

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Quantum imaging with undetected photons allows measuring mid-infrared information with visible or near-infrared silicon-based light detection. We demonstrate a combination of quantum imaging and Fourier-transform spectral analysis for broadband high-resolution mid-infrared hyperspectral imaging.

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Kääriäinen, Teemu, und Timo Dönsberg. „Compact active hyperspectral imager based on tuneable short wave infrared supercontinuum laser“. In 3D Image Acquisition and Display: Technology, Perception and Applications. Washington, D.C.: Optica Publishing Group, 2022. http://dx.doi.org/10.1364/3d.2022.jtu2a.2.

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Compact active hyperspectral imager is presented. The imager is based on tuneable broadband near-infrared supercontinuum laser and monochromatic camera. The compact imager is capable of rapid hyperspectral imaging for ranges over 30 m.

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Chang, Peter, Nazanin Hoghooghi, Stephanie Swartz, Daniel Lesko, Ragib Ishrak, Scott Egbert, Jens Biegert, Rohith Reddy, Gregory Rieker und Scott Diddams. „Mid-Infrared Hyperspectral Microscopy with Broadband 1-GHz Dual-Comb Spectroscopy“. In CLEO: Science and Innovations. Washington, D.C.: Optica Publishing Group, 2023. http://dx.doi.org/10.1364/cleo_si.2023.sm3o.2.

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We utilize a 1-GHz mid-infrared dual comb spectrometer for high speed and broadband hyperspectral imaging. The system covers 1000 cm − 1 at λ c = 3.4 µm with 13.47 kHz acquisition rate and 4 µm spatial resolution.

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Figueroa, Benjamin, Walter Fu, Tai Nguyen, Kseniya Shin, Bryce Manifold, Frank W. Wise und Dan Fu. „Broadband hyperspectral stimulated Raman scattering microscopy with a parabolic fiber amplifier source“. In High-Speed Biomedical Imaging and Spectroscopy IV, herausgegeben von Keisuke Goda und Kevin K. Tsia. SPIE, 2019. http://dx.doi.org/10.1117/12.2508104.

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McFee, John E., Steve B. Achal, Alejandra U. Diaz und Anthony A. Faust. „Comparison of broadband and hyperspectral thermal infrared imaging of buried threat objects“. In SPIE Defense, Security, and Sensing, herausgegeben von J. Thomas Broach und Jason C. Isaacs. SPIE, 2013. http://dx.doi.org/10.1117/12.2016790.

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Sahu, Amrita, Henry Dante, Evan Haase und Jerry W. Morris. „Hyperspectral imaging using CCD imager and broadband energy source for agricultural grading: implementation“. In Wide Bandgap Power and Energy Devices and Applications III, herausgegeben von Mohammad Matin, Achyut K. Dutta und Srabanti Chowdhury. SPIE, 2019. http://dx.doi.org/10.1117/12.2323721.

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Camp, Charles H., John S. Bender und Young Jong Lee. „High Throughput Quantitative Raman Signal Extraction from Broadband Spectroscopic Coherent Anti-Stokes Raman Scattering (CARS) Hyperspectral Imagery“. In Computational Optical Sensing and Imaging. Washington, D.C.: Optica Publishing Group, 2022. http://dx.doi.org/10.1364/cosi.2022.cw4b.5.

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Extraction of quantitative Raman signatures from BCARS spectra is fraught with challenges in computational time and spectral distortions. Here we present new linear methods that are capable of real-time performance and with significantly reduced error.

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Mead, Stephen, Sarah E. Bohndiek, Calum Williams und Graham Spicer. „Broadband hyperspectral imaging across visible and infrared biological windows using a single camera (Conference Presentation)“. In Optical Biopsy XXI: Toward Real-Time Spectroscopic Imaging and Diagnosis, herausgegeben von Robert R. Alfano und Angela B. Seddon. SPIE, 2023. http://dx.doi.org/10.1117/12.2649304.

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Kho, Esther, Lisanne L. de Boer, Koen K. Van de Vijver, Henricus J. C. M. Sterenborg und Theo J. M. Ruers. „Overcoming sampling depth variations in the analysis of broadband hyperspectral images of breast tissue (Conference Presentation)“. In Optical Biopsy XV: Toward Real-Time Spectroscopic Imaging and Diagnosis, herausgegeben von Robert R. Alfano und Stavros G. Demos. SPIE, 2017. http://dx.doi.org/10.1117/12.2250871.

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Xu, Jingjiang, Baoshan Guo, Kenneth K. Y. Wong und Kevin K. Tsia. „Broadband hyperspectral coherent anti-Stokes Raman scattering microscopy for stain-free histological imaging with principal component analysis“. In SPIE BiOS, herausgegeben von Ammasi Periasamy, Peter T. C. So und Karsten König. SPIE, 2014. http://dx.doi.org/10.1117/12.2039215.

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