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Статті в журналах з теми "Hyperspectral device"
Sheybani, Ehsan, and Giti Javidi. "GUI Design Considerations for Hyperspectral Microwave Atmospheric Sounder." International Journal of Interdisciplinary Telecommunications and Networking 10, no. 2 (April 2018): 40–50. http://dx.doi.org/10.4018/ijitn.2018040104.
Повний текст джерелаGutiérrez-Gutiérrez, José A., Arturo Pardo, Eusebio Real, José M. López-Higuera, and Olga M. Conde. "Custom Scanning Hyperspectral Imaging System for Biomedical Applications: Modeling, Benchmarking, and Specifications." Sensors 19, no. 7 (April 9, 2019): 1692. http://dx.doi.org/10.3390/s19071692.
Повний текст джерелаHan, Yachao, Jing Li, Zihong Gao, Jie Chen, and Zhiyang Nie. "Design of Airborne Hyperspectral Automatic Filling Device for Liquid Nitrogen Refrigeration." Journal of Physics: Conference Series 2235, no. 1 (May 1, 2022): 012044. http://dx.doi.org/10.1088/1742-6596/2235/1/012044.
Повний текст джерелаZhu, Mengjun, Junli Qi, Wenjun Yi, Junyi Du, Meicheng Fu, Shuyue Zhu, Ju Liu, and Xiujian Li. "Design and Dispersion Calibration of Direct-Vision Push-Broom Compressive Double-Amici-Prism Hyperspectral Imager." Photonics 9, no. 10 (October 6, 2022): 732. http://dx.doi.org/10.3390/photonics9100732.
Повний текст джерелаBurynin, Dmitriy A., and Aleksandr A. Smirnov. "Measurement Tools for Non-Invasive Monitoring of the Plants Growth Conditions by Using Hyperspectral Imaging Methods: a Review." Elektrotekhnologii i elektrooborudovanie v APK 2, no. 43 (2021): 54–61. http://dx.doi.org/10.22314/2658-4859-2021-68-2-54-61.
Повний текст джерелаChen, Wen, Ming-Jie Sun, Wei-Jie Deng, Hai-Xiang Hu, Li-Jing Li, and Xue-Jun Zhang. "Hyperspectral imaging via a multiplexing digital micromirror device." Optics and Lasers in Engineering 151 (April 2022): 106889. http://dx.doi.org/10.1016/j.optlaseng.2021.106889.
Повний текст джерелаXia, L., R. R. Zhang, L. P. Chen, Y. Wen, F. Zhao, and J. J. Hou. "Retrieving wheat Biomass by using a hyper-spectral device on UAV." Advances in Animal Biosciences 8, no. 2 (June 1, 2017): 833–36. http://dx.doi.org/10.1017/s2040470017001182.
Повний текст джерелаStuart, Mary B., Andrew J. S. McGonigle, Matthew Davies, Matthew J. Hobbs, Nicholas A. Boone, Leigh R. Stanger, Chengxi Zhu, Tom D. Pering, and Jon R. Willmott. "Low-Cost Hyperspectral Imaging with A Smartphone." Journal of Imaging 7, no. 8 (August 5, 2021): 136. http://dx.doi.org/10.3390/jimaging7080136.
Повний текст джерелаLi, Haochen, Zhanfeng Li, Yu Huang, Guanyu Lin, Jiexiong Zeng, Hanshuang Li, Shurong Wang, and Wenyao Han. "Analysis and Correction of Polarization Response Calibration Error of Limb Atmosphere Ultraviolet Hyperspectral Detector." Sensors 22, no. 21 (November 6, 2022): 8542. http://dx.doi.org/10.3390/s22218542.
Повний текст джерелаBalsi, Marco, Monica Moroni, Valter Chiarabini, and Giovanni Tanda. "High-Resolution Aerial Detection of Marine Plastic Litter by Hyperspectral Sensing." Remote Sensing 13, no. 8 (April 16, 2021): 1557. http://dx.doi.org/10.3390/rs13081557.
Повний текст джерелаДисертації з теми "Hyperspectral device"
Ergin, Leanna N. "ENHANCED DATA REDUCTION, SEGMENTATION, AND SPATIAL MULTIPLEXING METHODS FOR HYPERSPECTRAL IMAGING." Cleveland State University / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=csu1501871494997272.
Повний текст джерелаVilain, S. "Characterisation of plasmonic crystals and integrated photonic devices with hyperspectral scanning near field optical microscopy." Thesis, Queen's University Belfast, 2012. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.557848.
Повний текст джерелаBlanco, Lucena Francisco. "Chemical speciation on urinary lithiasis. Image analysis and separation techniques for the study of lithogenesis." Doctoral thesis, Universitat Autònoma de Barcelona, 2014. http://hdl.handle.net/10803/285557.
Повний текст джерелаThe formation of solid depositions along the urinary tract, also known as urinary lithiasis, is a common disease worldwide. The incidence rate is 12% of the entire population and the recurrence (suffering further stone episodes) affects 50% of the patients. The associated medical management and treatments are an important burden on healthcare systems. The challenges posed by urinary lithiasis require enhanced diagnostic and treatment options. The medical community (and the society) has a clear need of reducing incidence and recurrence rates, which should follow the path of wider knowledge in stone disease and new preventive options. This Dissertation exposes the work developed in some areas concerning urolithiasis, which embeds image analysis, spectroscopy and separation techniques. The aim of this report is to offer answers to the above mentioned necessities using those scientific tools. The first experimental Section in this Dissertation is devoted to the use of NIR and IR Spectroscopies for widening the knowledge in lithogenesis and suggesting new urinary stone analysis alternatives. The precise description of the formation of a stone is a solid pillar on the definition of risk factors and influence of urinary parameters on the crystallization process. This input set the basis for the formulation of more specific treatments. The development of a new analysis methodology, using Hyperspectral Imaging, represents a step forward in stone disease management. The process presented here offers a better stone description than conventional techniques in a short analysis time and with no need of trained analysts. This poses the bases of this methodology as a solid alternative for its use in routine clinical laboratories. The next Section describes the use of Field Flow Fractionation for the characterization of nanoparticles in urine. Since crystallization processes start by the agglomeration of small solid particles, the interest on the development of a methodology to determine their relation to urinary lithiasis is clear. This study intends to use nanoparticles as a biomarker for stone formation risk. The third experimental Section is focused on the importance of crystallization promoters, in particular, oxalate. This promoter is mostly integrated into the body through the diet. In this sense, this Dissertation investigates oxalate content (and other promoters/inhibitors of crystal formation) in plant extract and chocolate - common products in western diet. Oxalate absorption is also considered in this work, by using isotopic labelling and comparing the results to general risk assessment formulas. The last Section in this Dissertation highlights the contributions of this work to knowledge transfer. It includes the intellectual protection of some of the produced knowledge and the presentation of a new medical device. This instrument is able to quickly classify urinary stones using image recognition tools, providing thus a suitable alternative for the in-site analysis of stones. The device automatically offers treatment suggestions adapted to each sample, so it offers an individualized analysis. The commercial potential of this device has been also assessed through market research. In essence, this Dissertation can be considered as a multidisciplinary approach that provides a link between fundamental, applied and medical features of urinary lithiasis. This goal has been reached keeping as a horizon the improvement of patients’ quality of life.
Ferraz, Óscar Almeida. "Combining low-power with parallel processing for multispectral and hyperspectral image compression." Master's thesis, 2019. http://hdl.handle.net/10316/88005.
Повний текст джерелаO CCSDS 123 é um algoritmo de compressão de imagens hiperespectrais e multiespectrais composto por um preditor e um codificador. Normalmente, os sistemas que geram este tipo de imagens (satélites, drones, etc…) têm restrições energéticas. Este algoritmo é implementado, sobretudo em FPGAs devido ao seu baixo consumo energético. O mercado dos smartphones tem tornado os CPUs e GPUs em dispositivos energeticamente eficientes, colocando-os em posição de competir contra as FPGAs no campo de compressão de baixo consumo.O objetivo desta dissertação é, utilizando uma Jetson TX2, paralelizar o CCSDS-123. No preditor, quando a predição é intra-banda (P=0), é utilizado um único kernel. Quando se usa predição inter-banda (P>0), o preditor passa a ter dependências de dados dentro das bandas, tornando a paralelização menos eficiente e mais difícil de implementar. No codificador, que contém dependências de dados, são estudadas paralelizações utilizando vários dispositivos (CPU+GPU) nos dois codificadores contemplados nesta norma. Produzindo uma solução híbrida de computação heterogénea.As implementações são alvo de testes que compararam o tempo de execução paralela com os tempos execução em série de forma a identificar as melhores implementações. Ainda é feita uma análise energética medindo a potência utilizada pela placa ao longo do tempo de execução do algoritmo. No final, a taxa de débito e a eficiência energética são comparadas com o estado de arte.O uso de GPUs de baixo consumo traz um novo paradigma ao campo de compressão multiespectral e hiperespectral. Apesar de não tão eficientes como as FPGAs, GPUs conseguem altas taxas de débito.
The CCSDS 123 is a hyperspectral and multispectral image compression algorithm composed of a predictor and an encoder. Usually, the systems that generate these types of images (satellites, drones, etc.) have energy restrictions. Hence, FPGAs show themselves as efficient devices to implement the CCSDS 123 due to its low energy consumption. The smartphone market has turned CPUs and GPUs into energy-efficient systems, making them potential competitors against FPGAs implementation dominance in the field of low-energy compression.The objective of this dissertation is, using a low-power GPU (Jetson TX2), to parallelize the CCSDS 123. Intra-band prediction (P=0) uses a single kernel. When using inter-band prediction (P>0), the predictor has data dependencies within bands, making parallelization less efficient and more challenging to implement. Hybrid parallelizations (CPU+GPU) are studied for the two encoders designed for this standard, producing a heterogeneous computing system.The implementations are subject to tests that compare the parallel execution times with the serial execution times in order to identify the best implementations. An energy analysis is performed, measuring the power used by the board over the algorithm's running time. In the end, the throughput rate and energy efficiency are compared with the state-of-the-art.The use of low-power graphics processing units (GPUs) brings a new paradigm to the field of multispectral and hyperspectral compression. Even though, not as the efficiency as FPGAs, GPUs deliver high throughput rates.
Частини книг з теми "Hyperspectral device"
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.
Повний текст джерелаLi, Li, Chengjun Huang, and Haiying Zhang. "Micro/Nanoscale Optical Devices for Hyperspectral Imaging System." In Outlook and Challenges of Nano Devices, Sensors, and MEMS, 459–82. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-50824-5_16.
Повний текст джерелаZia, Ali, and Jie Liang. "3D Plant Modelling Using Spectral Data From Visible to Near Infrared Range." In Computer Vision, 1904–25. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-5204-8.ch081.
Повний текст джерелаRestaino, Rocco, Gemine Vivone, Paolo Addesso, Daniele Picone, and Jocelyn Chanussot. "Resolution Enhancement of Hyperspectral Data Exploiting Real Multi-Platform Data." In Recent Advances in Image Restoration with Applications to Real World Problems. IntechOpen, 2020. http://dx.doi.org/10.5772/intechopen.92795.
Повний текст джерелаZhou, Haoyi, Jun Zhou, Haichuan Yang, Cheng Yan, Xiao Bai, and Yunlu Liu. "A Large Margin Learning Method for Matching Images of Natural Objects With Different Dimensions." In Geospatial Intelligence, 561–80. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-8054-6.ch026.
Повний текст джерелаPane, Catello. "Advances in proximal sensors to detect crop health status in horticultural crops." In Improving integrated pest management in horticulture, 197–216. Burleigh Dodds Science Publishing, 2022. http://dx.doi.org/10.19103/as.2021.0095.06.
Повний текст джерелаТези доповідей конференцій з теми "Hyperspectral device"
Lim, Sungjin, Mugeon Kim, and Joonku Hahn. "All-optical depth extraction device using hyperspectral imaging." In Digital Holography and Three-Dimensional Imaging. Washington, D.C.: OSA, 2016. http://dx.doi.org/10.1364/dh.2016.dm4e.6.
Повний текст джерелаCaricato, V., A. Egidi, M. Pisani, M. Zucco, and M. Zangirolami. "A device for hyperspectral imaging in the UV." In 2014 Conference on Precision Electromagnetic Measurements (CPEM 2014). IEEE, 2014. http://dx.doi.org/10.1109/cpem.2014.6898581.
Повний текст джерелаCaricato, V., A. Egidi, M. Pisani, and M. Zucco. "A hyperspectral imaging device for multi-labelled fluorescence microscopy." In 2014 6th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS). IEEE, 2014. http://dx.doi.org/10.1109/whispers.2014.8077495.
Повний текст джерелаCrombez, S., C. Exbrayat-Heritier, F. Ruggerio, C. Ray, and N. Ducros. "Deep Hyperspectral microscopy based on structured light sheet." In Computational Optical Sensing and Imaging. Washington, D.C.: Optica Publishing Group, 2022. http://dx.doi.org/10.1364/cosi.2022.ctu5f.1.
Повний текст джерелаArnob, Masud, and Wei-Chuan Shih. "Hyperspectral chemical imaging enabled by spatial light modulators." In Emerging Digital Micromirror Device Based Systems and Applications XI, edited by Michael R. Douglass, Benjamin L. Lee, and John Ehmke. SPIE, 2019. http://dx.doi.org/10.1117/12.2513619.
Повний текст джерелаOuyang, Bing, Michael Twardowski, Frank Caimia, Fraser Dalgleish, Cuiling Gong, and Yanjun Li. "Prototyping a compressive line sensing hyperspectral imaging sensor." In Emerging Digital Micromirror Device Based Systems and Applications XI, edited by Michael R. Douglass, Benjamin L. Lee, and John Ehmke. SPIE, 2019. http://dx.doi.org/10.1117/12.2511981.
Повний текст джерелаGuern, Yves, Laurence Grenier, and Francois Carpentier. "Uncooled IRFPA for low-cost multispectral/hyperspectral LWIR imaging device." In AeroSense 2003, edited by Sylvia S. Shen and Paul E. Lewis. SPIE, 2003. http://dx.doi.org/10.1117/12.487564.
Повний текст джерелаYi, Qi, Lim Zi Heng, Li Liang, Zhou Guangcan, Fook Siong Chau, and Zhou Guangya. "A Single-Pixel Hyperspectral Imager based on Digital Micromirror Device." In 2019 International Conference on Optical MEMS and Nanophotonics (OMN). IEEE, 2019. http://dx.doi.org/10.1109/omn.2019.8925274.
Повний текст джерелаBonifazi, G., M. D'Agostini, A. Dall'Ava, S. Serranti, and F. Turioni. "A new hyperspectral imaging based device for quality control in plastic recycling." In SPIE Optics + Optoelectronics, edited by Francesco Baldini, Jiri Homola, and Robert A. Lieberman. SPIE, 2013. http://dx.doi.org/10.1117/12.2014909.
Повний текст джерелаHuber, G., B. Sang, M. Erhard, G. Staton, H. P. Honold, Stefan Schmitt, Christoph Zauner, Manuela Sornig, and Sebastian Fischer. "An all-silicon, high precision double-slit device for hyperspectral imager EnMAP." In International Conference on Space Optics - ICSO 2018, edited by Nikos Karafolas, Zoran Sodnik, and Bruno Cugny. SPIE, 2019. http://dx.doi.org/10.1117/12.2535956.
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