Academic literature on the topic 'Multispectral infrared imaging'
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Journal articles on the topic "Multispectral infrared imaging":
Tran, Chieu D. "Infrared Multispectral Imaging: Principles and Instrumentation." Applied Spectroscopy Reviews 38, no. 2 (2003): 133–53. http://dx.doi.org/10.1081/asr-120021165.
Schaeberle, Michael D., and Patrick J. Treado. "New frontiers in multispectral chemical imaging." Proceedings, annual meeting, Electron Microscopy Society of America 52 (1994): 156–57. http://dx.doi.org/10.1017/s0424820100168517.
Zhang, Yibing. "Multispectral three-dimensional digital infrared thermal imaging." Optical Engineering 42, no. 4 (April 1, 2003): 906. http://dx.doi.org/10.1117/1.1557175.
Ozkan, Haydar, Muberra Aydin, Osman Alpcan Ozcan, and Ummuhan Zengin. "A portable multispectral vein imaging system." Journal of Electrical Engineering 74, no. 1 (February 1, 2023): 64–69. http://dx.doi.org/10.2478/jee-2023-0008.
Li, Kun, Shaoli Duan, Lingling Pang, Weilai Li, Zhixiong Yang, Yaohang Hu, and Chunchao Yu. "Chemical Gas Telemetry System Based on Multispectral Infrared Imaging." Toxics 11, no. 1 (January 15, 2023): 83. http://dx.doi.org/10.3390/toxics11010083.
Zhang, Yuanjie, Huangrong Xu, Yiming Liu, Xiaojun Zhou, Dengshan Wu, and Weixing Yu. "Advanced Biomimetic Multispectral Curved Compound Eye Camera for Aerial Multispectral Imaging in a Large Field of View." Biomimetics 8, no. 7 (November 20, 2023): 556. http://dx.doi.org/10.3390/biomimetics8070556.
Kozlowska, Anna, Piotr Wawrzyniak, Andrzej Malag, Marian Teodorczyk, Jens W. Tomm, and Fritz Weik. "Reliability screening of diode lasers by multispectral infrared imaging." Journal of Applied Physics 99, no. 5 (March 2006): 053101. http://dx.doi.org/10.1063/1.2178390.
Mamadou, Diarra, Kacoutchy Jean Ayikpa, Abou Bakary Ballo, Nagbégna Diabate, and N’guessan Patrice Akoguhi. "Enhancing Face Recognition Performance with Multispectral Imaging and Machine Learning: Comparison from Sift and Sift-Freak Feature Extraction." International Journal on Recent and Innovation Trends in Computing and Communication 11, no. 8s (August 18, 2023): 329–40. http://dx.doi.org/10.17762/ijritcc.v11i8s.7213.
Huang, Qiping, Huanhuan Li, Jiewen Zhao, Gengping Huang, and Quansheng Chen. "Non-destructively sensing pork quality using near infrared multispectral imaging technique." RSC Advances 5, no. 116 (2015): 95903–10. http://dx.doi.org/10.1039/c5ra18872e.
Langhout, Gerrit Cornelis, Diederik Johannes Grootendorst, Omgo Edo Nieweg, Michel Wilhelmus Jacobus Maria Wouters, Jos Alexander van der Hage, Jithin Jose, Hester van Boven, Wiendelt Steenbergen, Srirang Manohar, and Theodoor Jacques Marie Ruers. "Detection of Melanoma Metastases in Resected Human Lymph Nodes by Noninvasive Multispectral Photoacoustic Imaging." International Journal of Biomedical Imaging 2014 (2014): 1–7. http://dx.doi.org/10.1155/2014/163652.
Dissertations / Theses on the topic "Multispectral infrared imaging":
Howard, Matthew David. "Fourier Multispectral Imaging in the Shortwave Infrared." University of Dayton / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1507560319244019.
Riseby, Emil, and Alexander Svensson. "Multispectral Imaging for Surveillance Applications." Thesis, Linköpings universitet, Medie- och Informationsteknik, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-115731.
Rose, Robert A. "The generation and comparison of multispectral synthetic textures /." Online version of thesis, 1994. http://hdl.handle.net/1850/11731.
Dunmeyer, David Richard 1978. "Polarization-dependent wavelength-selective structures for multispectral polarimetric infrared imaging." Thesis, Massachusetts Institute of Technology, 2007. http://hdl.handle.net/1721.1/38680.
Includes bibliographical references (p. 173-181).
The need for compact, rugged, low-cost multispectral-polarimetric filtering technology exists in both the civilian and defense communities. Such technology can be used for object detection, object recognition, and image contrast enhancement. Mosaicked multispectral-polarimetric filter technology, using CMOS-type metallo-dielectric grating structures, is presented as a potential solution in which the spectral filtering and polarization filtering functions are performed in a single component. In this work, single-layer and double-layer metallic-grating structures, embedded in uniform dielectric are investigated. Spectral tunability using only transverse grating properties in a two-layer metallic-grating structure is demonstrated. Additionally, one-layer and two-layer slotted-grid rectangular-aperture two-dimensional metallic gratings for infrared imaging are also studied. To complement the simulations, thirty-nine separate infrared optical polarization and spectral filters were fabricated in silicon using the AMI 0.5pm / MOSIS foundry service, and they were characterized using polarized FTIR analysis. Polarized transmission spectra from these CMOS-based filters compare favorably with simulation results for four of the most promising filter types. An external-cavity-coupled single-layer metallic-grating structure, compatible with CMOS microbolometer detector technology is also offered as an application example.
by David R. Dunmeyer.
Ph.D.
Hadj-Youcef, Mohamed Elamine. "Spatio spectral reconstruction from low resolution multispectral data : application to the Mid-Infrared instrument of the James Webb Space Telescope." Thesis, Université Paris-Saclay (ComUE), 2018. http://www.theses.fr/2018SACLS326/document.
This thesis deals with an inverse problem in astronomy. The objective is to reconstruct a spatio-spectral object, having spatial and spectral distributions, from a set of low-resolution multispectral data taken by the imager MIRI (Mid-InfraRed Instrument), which is on board the next space telescope James Webb Space Telescope (JWST). The observed multispectral data suffers from a spatial blur that varies according to the wavelength due to the spatial convolution with a shift-variant optical response (PSF). In addition the multispectral data also suffers from severe spectral degradations because of the spectral filtering and the integration by the detector over broad bands. The reconstruction of the original object is an ill-posed problem because of the severe lack of spectral information in the multispectral dataset. The difficulty then arises in choosing a representation of the object that allows the reconstruction of this spectral information. A common model used so far considers a spectral shift-invariant PSF per band, which neglects the spectral variation of the PSF. This simplistic model is only suitable for instruments with a narrow spectral band, which is not the case for the imager of MIRI. Our approach consists of developing an inverse problem framework that is summarized in four steps: (1) designing an instrument model that reproduces the observed multispectral data, (2) proposing an adapted model to represent the sought object, (3) exploiting all multispectral dataset jointly, and finally (4) developing a reconstruction method based on regularization methods by enforcing prior information to the solution. The overall reconstruction results obtained on simulated data of the JWST/MIRI imager show a significant increase of spatial and spectral resolutions of the reconstructed object compared to conventional methods. The reconstructed object shows a clear denoising and deconvolution of the multispectral data. We obtained a relative error below 5% at 30 dB, and an execution time of 1 second for the l₂-norm algorithm and 20 seconds (with 50 iterations) for the l₂/l₁-norm algorithm. This is 10 times faster than the iterative solution computed by conjugate gradients
Rivière, Annise. "Granulométrie d'un liquide dispersé par explosif." Electronic Thesis or Diss., Ecole nationale des Mines d'Albi-Carmaux, 2024. http://www.theses.fr/2024EMAC0003.
As part of its studies on detonation, the CEA at Gramat is interested in the dispersion of liquids in air, with high speed/energy constraints and multi-scale aspects. Measuring the particle size of the dispersed liquid is attracting a great deal of interest, but is proving complex because no commercial solution can be used under these particular conditions. However, under these conditions and given the impossibility of using laser sources in a pyrotechnic environment, no commercial solution is available. For this thesis, a new granulometry identification method was developed, based on a measurement known as "extinction", which is particularly easy to deploy and robust in harsh environments. This is a multispectral approach (measurement with cameras or a spectrometer) using a regularised inversion method in the sense of Tikhonov, based on the measure of spectral transmissions and which makes it possible to reconstruct the granulometry of the latter a posteriori using the Beer-Lambert law combined with the Mie model. Given the complexity of the phenomena involved in using explosives for dispersion, the method developed was tested on liquid dispersions reproduced on a small scale on sprays. The general method was developed by exploiting spectral information from controlled water sprays confined in an enclosure placed in a Fourier transform infrared spectrometer (high resolution). However, as this equipment is poorly suited to field conditions, the measurement method was downgraded by using cameras that allow "low resolution" but faster measurements. The use of an infrared camera operating in the 2-5 µm spectral band with spectral filters and a flat black body was therefore tested to monitor changes in spray particle size as a function of time. This method was subsequently applied to water dispersions using explosives, with promising results. The complete measurement and analysis process was therefore validated at each stage of the study
Chaban, Antonina. "Non-invasive methods for the study of wall decorations in art history and archaelogy Metodi non invasivi per lo studio degli apparati decorativi di interesse archeologico e storico-artistico." Doctoral thesis, Università degli studi di Padova, 2019. http://hdl.handle.net/11577/3422212.
Pitture e mosaici parietali, soprattutto quelli di interesse storico-artistico e archeologico, rappresentano un oggetto di studio complesso. Oltre alla struttura fisica, generalmente costituita da una superficie esterna decorata e preziosa e dai diversi strati di preparazione che fungono da interfaccia con il supporto strutturale e che caratterizzano tutti i tipi di decorazioni parietali senza distinzione di tipologia e di epoca di realizzazione, si deve infatti tener conto anche della componente molto importante legata alla storia e alla vetustà del manufatto. Questo comporta la possibilità che ci siano presenti anomalie legate al degrado dei materiali e dei supporti e disomogeneità legate ai restauri che possono aver interessato l'opera nel tempo. La possibilità di ottenere informazioni preliminari in modo non invasivo su tutti gli strati e sulle eventuali anomalie ivi presenti, costituisce pertanto un punto chiave nella diagnostica in-situ delle decorazioni parietali soprattutto per quelle di interesse storico-artistico o archeologico. Il presente progetto di ricerca, attraverso un approccio di tipo sperimentale, mira a testare le potenzialità e limiti di alcuni metodi elettromagnetici per indagini in situ di tipo non invasivo su pitture e mosaici parietali antichi. A tale scopo, sono stati presi in considerazione quattro diversi metodi di indagine: - l'Imaging Multispettrale (MI), utilizzando una macchina fotografica modificata e quattro differenti filtri (VIS-UV- e tre bande IR), per analisi, nel range 300-1000 nm, sulla superficie esterna decorata; - il Radar Olografico (HSR), utilizzando un'antenna con 5 frequenze comprese tra 6.4 GHz e 6.8 GHz, per l'analisi dei primi strati al di sotto della superficie esterna decorata; - la Termografia infrarossa (IRT), per l'analisi delle anomalie sub-superficiali; il georadar (GPR) ad altissima risoluzione, con un'antenna full polar da 2 GHz, per l'analisi della struttura interna dell'apparato murario al di sotto della superficie decorata. Operando con frequenze diverse, corrispondenti a profondità di indagine e risoluzioni differenti, queste tecniche possono in generale fornire informazioni preliminari sulla superficie (per esempio su materiali, pigmenti, stato di degrado, precedenti interventi ecc.) e sugli strati sottostanti (integrità strutturale, differenze nei materiali, presenza di umidità, distacchi, crepe, ecc.). Le misure in-situ sono state condotte su alcuni casi studio rappresentativi in Italia e in Grecia, relativamente a manufatti che risalgono a epoche diverse, in differenti contesti e differenti stati di conservazione. L'approccio sperimentale ha dimostrato che l'applicabilità dei metodi in situ è fortemente condizionata dalle caratteristiche intrinseche delle superfici di pregio (alto valore storico artistico, geometria, stato di degrado), che limitano l'uso dei metodi non invasivi a contatto (GPR e HSR) e che i dati sono inoltre fortemente dipendenti dalla logistica e dalle modalità di acquisizione. La sperimentazione in situ proposta nella tesi è stata integrata con test di laboratorio, utilizzando anche altri metodi non-invasivi, quali l'interferometria olografica e termografia infrarossa attiva (DHSPI-SIRT). Questo lavoro di ricerca ha evidenziato che portabilità, uso a distanza, immediata visualizzazione e interpretazione dei dati sono elementi cruciali nello sviluppo di un approccio non invasivo alla diagnostica di pitture murali e mosaici e risultano fondamentali per la caratterizzazione preliminare, per l'efficiente monitoraggio, la corretta diagnosi e l'adeguata pianificazione degli interventi sulle decorazioni parietali di interesse storico-artistico e archeologico nell'ottica di un'efficace collaborazione interdisciplinare tra componente scientifica e umanistica (storici dell'arte, archeologi) e con conservatori e curatori di questi preziosi beni.
Alshatshati, Salahaldin Faraj. "Estimating Envelope Thermal Characteristics from Single Point in Time Thermal Images." University of Dayton / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1512648630005333.
Chiachia, Giovani [UNESP]. "Improving face recognition with multispectral fusion and support vector machines." Universidade Estadual Paulista (UNESP), 2009. http://hdl.handle.net/11449/98661.
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
O reconhecimento facial é uma das principais formas de identificação humana. Apesar das pesquisas em reconhecimento facial automático terem crescido substancialmente ao longo dos últimos 35 anos, identificar pessoas a partir da face continua sendo um desafio para as áreas de Visão Computacional e Reconhecimento de Padrões. Em função dos cenários variarem desde a identificação a partir de fotografias até o reconhecimento baseado em vídeos sem nenhum tipo de controle ao serem gravados, os maiores desafios estão relacionados à independência contra diferentes tipos de iluminação, pose e expressão. O objetivo desta dissertação é propor técnicas que possam contribuir para a melhoria dos sistemas de reconhecimento facial. A primeira técnica endereça o problema da iluminação através da fusão dos espectros visível e infravermelho da face. Através desta abordagem, as taxas de reconhecimento foram melhoradas em 2.07% enquanto a taxa de erro igual (EER) foi reduzida em 45.47%. A segunda técnica trata do caso da extração e classificação de características faciais. Ela propõe um novo modelo para reconhecimento facial através do uso de características extraídas por Histogramas Census e de uma técnica de reconhecimento de padrões baseada em Máquinas de Vetores de Suporte (SVMs). Este outro grupo de experimentos nos possibilitou aumentar a precisão do reconhecimento no teste FERET fa/fb em 0.5%. Além destes resultados, algumas contribuições adicionais deste trabalho que merecem ser destacadas são a análise da dependência estatística entre classificadores de espectros diferentes e considerações sobre o comportamento de uma única C-SVC SVM para identificação de pessoas de forma eficaz.
Face recognition is one of the primary ways of human identification. Although researches on automated face recognition have broadly increased along the last 35 years, it remains a challenging task in the fields of Computer Vision and Pattern Recognition. As the scenarios varies from static and constrained photographs to uncontrolled video images, the challenging issues on automatic face recognition are usually related with variations in illumination, pose and expressions. The goal of this master thesis is to propose techniques for the improvement of face recognition systems. The first technique addresses the problem of illumination by fusing the visible and the infrared spectra of the face. With this approach the recognition rates were improved in 2.07% while the Equal Error Rate (EER) were reduced in 45.47%. The second technique addresses the issue of face features extraction and classification. It proposes a new framework for face recognition by using features extracted by Census Histograms and a pattern recognition technique based on Support Vector Machines (SVMs). This other group of experiments enabled us to increase the recognition accuracy in the FERET fa/fb test in 0.5%. Beyond these results, additional contributions of this work that deserve to be highlighted are the statistical dependency analysis between face recognition systems based on different spectra and a better comprehension about the behavior of a single C-SVC SVM to reliably predict faces identities.
Chiachia, Giovani. "Improving face recognition with multispectral fusion and support vector machines /." São José do Rio Preto : [s.n.], 2009. http://hdl.handle.net/11449/98661.
Banca: Roberto Marcondes Cesar Junior
Banca: Ivan Rizzo Guilherme
Resumo: O reconhecimento facial é uma das principais formas de identificação humana. Apesar das pesquisas em reconhecimento facial automático terem crescido substancialmente ao longo dos últimos 35 anos, identificar pessoas a partir da face continua sendo um desafio para as áreas de Visão Computacional e Reconhecimento de Padrões. Em função dos cenários variarem desde a identificação a partir de fotografias até o reconhecimento baseado em vídeos sem nenhum tipo de controle ao serem gravados, os maiores desafios estão relacionados à independência contra diferentes tipos de iluminação, pose e expressão. O objetivo desta dissertação é propor técnicas que possam contribuir para a melhoria dos sistemas de reconhecimento facial. A primeira técnica endereça o problema da iluminação através da fusão dos espectros visível e infravermelho da face. Através desta abordagem, as taxas de reconhecimento foram melhoradas em 2.07% enquanto a taxa de erro igual (EER) foi reduzida em 45.47%. A segunda técnica trata do caso da extração e classificação de características faciais. Ela propõe um novo modelo para reconhecimento facial através do uso de características extraídas por Histogramas Census e de uma técnica de reconhecimento de padrões baseada em Máquinas de Vetores de Suporte (SVMs). Este outro grupo de experimentos nos possibilitou aumentar a precisão do reconhecimento no teste FERET fa/fb em 0.5%. Além destes resultados, algumas contribuições adicionais deste trabalho que merecem ser destacadas são a análise da dependência estatística entre classificadores de espectros diferentes e considerações sobre o comportamento de uma única C-SVC SVM para identificação de pessoas de forma eficaz.
Abstract: Face recognition is one of the primary ways of human identification. Although researches on automated face recognition have broadly increased along the last 35 years, it remains a challenging task in the fields of Computer Vision and Pattern Recognition. As the scenarios varies from static and constrained photographs to uncontrolled video images, the challenging issues on automatic face recognition are usually related with variations in illumination, pose and expressions. The goal of this master thesis is to propose techniques for the improvement of face recognition systems. The first technique addresses the problem of illumination by fusing the visible and the infrared spectra of the face. With this approach the recognition rates were improved in 2.07% while the Equal Error Rate (EER) were reduced in 45.47%. The second technique addresses the issue of face features extraction and classification. It proposes a new framework for face recognition by using features extracted by Census Histograms and a pattern recognition technique based on Support Vector Machines (SVMs). This other group of experiments enabled us to increase the recognition accuracy in the FERET fa/fb test in 0.5%. Beyond these results, additional contributions of this work that deserve to be highlighted are the statistical dependency analysis between face recognition systems based on different spectra and a better comprehension about the behavior of a single C-SVC SVM to reliably predict faces identities.
Mestre
Books on the topic "Multispectral infrared imaging":
United States. National Aeronautics and Space Administration., ed. Development of a portable multispectral thermal infrared camera: Final report. [Washington, DC: National Aeronautics and Space Administration, 1991.
United States. National Environmental Satellite, Data, and Information Service, ed. Detection and analysis of fog at night using GOES multispectral infrared imagery. Washington, D.C: U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, National Environmental Satellite, Data, and Information Service, 1994.
Ellrod, Gary P. Detection and analysis of fog at night using GOES multispectral infrared imagery. Washington, D.C: U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, National Environmental Satellite, Data, and Information Service, 1994.
Newcomer, J. BOREAS level-0 TIMS imagery: Digital counts in BIL format. Greenbelt, Md: National Aeronautics and Space Administration, Goddard Space Flight Center, 2000.
Roseanne, Dominguez, and Goddard Space Flight Center, eds. BOREAS level-0 TIMS imagery: Digital counts in BIL format. Greenbelt, Md: National Aeronautics and Space Administration, Goddard Space Flight Center, 2000.
Roseanne, Dominguez, and Goddard Space Flight Center, eds. BOREAS level-0 TIMS imagery: Digital counts in BIL format. Greenbelt, Md: National Aeronautics and Space Administration, Goddard Space Flight Center, 2000.
Development of a portable multispectral thermal infrared camera: Final report. Pasadena, CA: National Aeronautics and Space Administration, Resident Office, Jet Propulsion Laboratory, 1991.
Proceedings of the Airborne Visible/Infrared Imaging Spectrometer (AVIRIS) Performance Evaluation Workshop, June 6, 7, and 8, 1988. Pasadena, Calif: National Aeronautics and Space Administration, Jet Propulsion Laboratory, California Institute of Technology, 1989.
BOREAS level-0 TIMS imagery: Digital counts in BIL format. Greenbelt, Md: National Aeronautics and Space Administration, Goddard Space Flight Center, 2000.
Book chapters on the topic "Multispectral infrared imaging":
Davies, Adrian. "Specialist Applications and Multispectral Imaging." In Digital Ultraviolet and Infrared Photography, 147–70. Routledge, 2017. http://dx.doi.org/10.4324/9781315515090-7.
Farrand, William H., Erzsébet Merényi, and Mario C. Parente. "Hyper- and Multispectral Visible and Near-Infrared Imaging Analysis." In Remote Compositional Analysis, 307–23. Cambridge University Press, 2019. http://dx.doi.org/10.1017/9781316888872.016.
Leal Brioschi, Marcos, Soane Couto Menezes Lemos, Carlos Dalmaso Neto, Franciele De Meneck, Patricia Rodrigues Resende, and Eduardo Borba Neves. "Identification of Body Contouring Surgery Complications by Multispectral RGB/Infrared Thermography Imaging." In Body Contouring - Surgical Procedures and New Technologies [Working Title]. IntechOpen, 2023. http://dx.doi.org/10.5772/intechopen.107169.
"Monitoring Skin Hydration by Near-Infrared Spectroscopy and Multispectral Imaging." In Bioengineering of the Skin, 429–42. CRC Press, 2006. http://dx.doi.org/10.3109/9781420005516-34.
Satyanarayana, Vella, and P. Mohanaiah. "A Review on Spatial and Transform Domain Image Fusion Methods." In Advances in Transdisciplinary Engineering. IOS Press, 2023. http://dx.doi.org/10.3233/atde221321.
Valero, Mario M., Amanda Makowiecki, Alan Brewer, Craig B. Clements, Neil P. Lareau, Adam K. Kochanski, and Edward Strobach. "The California Fire Dynamics Experiment (CalFiDE): Developing Validation Data Sets for Coupled Fire-Atmosphere Simulations." In Advances in Forest Fire Research 2022, 388–93. Imprensa da Universidade de Coimbra, 2022. http://dx.doi.org/10.14195/978-989-26-2298-9_62.
Valero, Mario M., Christopher Giesige, Eric Goldbeck-Dimon, and Andrew Klofas. "A Preliminary Assessment of Tactical Fire Spread Observations during the 2020 California Fire Season." In Advances in Forest Fire Research 2022, 50–54. Imprensa da Universidade de Coimbra, 2022. http://dx.doi.org/10.14195/978-989-26-2298-9_6.
Sassen, Kenneth. "Cirrus: A Modern Perspective." In Cirrus. Oxford University Press, 2002. http://dx.doi.org/10.1093/oso/9780195130720.003.0006.
Conference papers on the topic "Multispectral infrared imaging":
Alexay, Christopher C. "Multispectral infrared imaging optics." In AeroSense 2003, edited by Bjorn F. Andresen and Gabor F. Fulop. SPIE, 2003. http://dx.doi.org/10.1117/12.496906.
Marcotte, F., and Ph Lagueux. "Time Resolved Multispectral Imaging." In 2014 Quantitative InfraRed Thermography. QIRT Council, 2014. http://dx.doi.org/10.21611/qirt.2014.011.
Howard, Matthew, Andrew Sarangan, and Keigo Hirakawa. "Shortwave Infrared Fourier Multispectral Imaging." In Imaging Systems and Applications. Washington, D.C.: OSA, 2019. http://dx.doi.org/10.1364/isa.2019.itu3b.4.
Pollard, Benjamin, Gregory O. Andreev, Karsten Hinrichs, and Markus B. Raschke. "Multispectral infrared vibrational nano-imaging." In CLEO: QELS_Fundamental Science. Washington, D.C.: OSA, 2013. http://dx.doi.org/10.1364/cleo_qels.2013.qtu1b.2.
Smith, Matthew H., James D. Howe, Jacob B. Woodruff, Miranda A. Miller, George R. Ax, Jr., Thomas E. Petty, and Elizabeth A. Sornsin. "Multispectral infrared Stokes imaging polarimeter." In SPIE's International Symposium on Optical Science, Engineering, and Instrumentation, edited by Dennis H. Goldstein and David B. Chenault. SPIE, 1999. http://dx.doi.org/10.1117/12.366324.
Gerken, Martin. "Multispectral imaging in defense applications." In Infrared Sensors, Devices, and Applications XIII, edited by Ashok K. Sood, Priyalal Wijewarnasuriya, and Arvind I. D'Souza. SPIE, 2023. http://dx.doi.org/10.1117/12.2682149.
Gibson, Daniel, Shyam Bayya, Vinh Nguyen, Jas Sanghera, Mikhail Kotov, and Gryphon Drake. "GRIN optics for multispectral infrared imaging." In SPIE Defense + Security, edited by Bjørn F. Andresen, Gabor F. Fulop, Charles M. Hanson, and Paul R. Norton. SPIE, 2015. http://dx.doi.org/10.1117/12.2177136.
Huot, Alexandrine, Marc-André Gagnon, Karl-Alexandre Jahjah, Pierre Tremblay, Simon Savary, Vincent Farley, Philippe Lagueux, Éric Guyot, Martin Chamberland, and Frédérick Marcotte. "Time-resolved Multispectral Imaging of Combustion Reaction." In Quantitative InfraRed Thermography Asia 2015. QIRT Council, 2015. http://dx.doi.org/10.21611/qirt.2015.0027.
Xu, Hong, Xiangjun Wang, and Yanan Yu. "Research on infrared multispectral imaging detection technology." In International Symposium on Photoelectronic Detection and Imaging 2009, edited by Kun Zhang, Xiang-jun Wang, Guang-jun Zhang, and Ke-cong Ai. SPIE, 2009. http://dx.doi.org/10.1117/12.835978.
Weling, Aniruddha S., Patrick F. Henning, Dean P. Neikirk, and Sangwook Han. "Antenna-coupled microbolometers for multispectral infrared imaging." In Defense and Security Symposium, edited by Bjørn F. Andresen, Gabor F. Fulop, and Paul R. Norton. SPIE, 2006. http://dx.doi.org/10.1117/12.665791.