Relevant bibliographies by topics / Hyperspectral device

Academic literature on the topic 'Hyperspectral device'

Author: Grafiati
Published: 10 December 2022
Last updated: 28 January 2023

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Journal articles on the topic "Hyperspectral device"

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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.

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This article contains information on how the Hyperspectral Microwave Atmospheric Sounder is the next step in technology for weather and climate missions. This technology can help improve both the vertical and horizontal resolutions of the atmosphere. Hyperspectral microwave describes an all-weather sounding that acts just like hyperspectral infrared sounders. In hyperspectral infrared sounders clouds decease the accuracy of the results, this is a big reason hyperspectral microwave are considered necessary. Hyperspectral measurements allow the user to determine the Earth's temperature with vertical resolution exceeding 1km (1093.61 yards). One of the objectives of Hyperspectral Microwave Atmospheric Sounder (HyMAS) is to develop a data system that will store and display the date received. PIC24 data stream will transfer 52 Data plus 16 H/K = 64 channels over Serial Peripheral Interface (SPI) at 100 Hz to scan head computer. Serial Peripheral is a synchronous protocol that allows the master device communication with a slave device. A Graphical User Interface (GUI) will be used to display the data received. A Graphical User Interface (GUI) is a type of user interface that allows users to interact with electronic devices using images rather than text commands. The author also develops documentation on how to operate the Explorer 16 development board. An Explorer 16 board can be used to interface with the emulator.
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Gutiérrez-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.

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Prototyping hyperspectral imaging devices in current biomedical optics research requires taking into consideration various issues regarding optics, imaging, and instrumentation. In summary, an ideal imaging system should only be limited by exposure time, but there will be technological limitations (e.g., actuator delay and backlash, network delays, or embedded CPU speed) that should be considered, modeled, and optimized. This can be achieved by constructing a multiparametric model for the imaging system in question. The article describes a rotating-mirror scanning hyperspectral imaging device, its multiparametric model, as well as design and calibration protocols used to achieve its optimal performance. The main objective of the manuscript is to describe the device and review this imaging modality, while showcasing technical caveats, models and benchmarks, in an attempt to simplify and standardize specifications, as well as to incentivize prototyping similar future designs.
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Han, 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.

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Abstract To maintain sensitivity of the sensor, especially the infrared band sensor, liquid nitrogen is needed for cooling during the imaging process of airborne hyperspectrometer. However, traditional filling process requires a lot of manual intervention, which is not only time-consuming and labor-intensive, but also creates great potential safe hazard during aviation operations. In view of this, this paper designs an airborne hyperspectral automatic filling device for liquid nitrogen using time-delay electromagnetic switch, pressure sensing detector and electromechanical device, which achieves the purpose of automatic liquid nitrogen filling, increases operation efficiency of airborne hyperspectral equipment, reduces air stage operation steps, and guarantees personal safety of air operators, thus playing a good demonstration role in further standardizing and optimizing the technical process of air-borne hyperspectral remote sensing data.
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Zhu, 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.

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The design and calibration of the dispersive device in a hyperspectral imager significantly affect the performance of hyperspectral imaging, especially the spectral accuracy. To achieve high-accuracy hyperspectral imaging over the visible band, firstly, the geometric and dispersive parameters of the double Amici prism (DAP) that serves as a dispersive device in the direct-vision push-broom compressive hyperspectral imager (PBCHI) are designed and optimized; secondly, a calibration method based on the numerical calculation of the DAP model is put forward, which can turn the conventional pixel-wise dispersive shift calibration by a monochromator into a group of numerical calculations; lastly, a PBCHI prototype is built to test the performances of the designed and calibrated DAP and the hyperspectral imager. The calibration experiments demonstrate that the mean squared error (MSE) of the dispersive pixel shifts calibrated by the proposed numerical method is 0.1774, which indicates the calibration result of the proposed method is consistent with the directly calibrated result. Furthermore, after this numerical calculation, the spectral signatures of the reconstructed cubes of the DAP-based PBCHI system show consistency with the ground truth. This work will benefit the design and calibration of the DAP-based hyperspectral imager.
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Burynin, 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.

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Portable spectroradiometers and hyperspectral cameras are increasingly being used to quickly assess the physiological state of plants. The operation of these devices is based on the registration of reflection or reflection and transmission spectra. (Research purpose) The research purpose is in analyzing the technical means and methods of non-invasive monitoring of the plant state based on the registration of the reflection spectra of leaves. (Materials and methods) The article presents a review of the work on the application of hyperspectral imaging methods. Authors classified and analyzed materials on spectroscopic radiometers and hyperspectral cameras, and outlined the prospects for implementation. Authors applied the methods of a systematic approach to the research problem. (Results and discussion) Hyperspectral imaging methods serve as an effective means of monitoring plants. It is possible to determine the pigment composition of plants, lack of nutrition, and detect biotic stress through hyperspectral imaging. The article presents methods of application of portable spectroradiometers and hyperspectral cameras. With the help of these devices it is possible to carry out measurements with high spectral resolution. The difficulty of accurately detecting the content of pigments in the leaves lies in the mutual overlap of the areas of light absorption by them. The main drawback of spectroradiometers is that they measure only at one point on a single sheet. The article presents the difficulties encountered in interpreting the results obtained by the hyperspectral camera. The background reflectivity of the soil, the geometry of the vegetation cover, and the uneven lighting can make errors in the measurements. (Conclusions) The article presents the disadvantages of the hyperspectral imaging method when using only the reflection spectrum. In order to increase the accuracy of the determination of pigments and stresses of various origins, it is necessary to develop a portable device that combines the methods of recording reflection and fluorescence.
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Chen, 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.

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Xia, 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.

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In this study, the biomass of winter wheat was estimated by using hyperspectral data obtained from a hyperspectral camera on an Unmanned Aerial Vehicle (UAV). Every two bands from the hyperspectral data were selected to calculate two kinds of vegetation indexes: the Normalized Difference Vegetation Index (NDVI) and Ratio Vegetation Index (RVI). Linear models were established between winter wheat biomass and those indexes, and coefficient of determination R2 was used to draw the two-dimensional distribution of R2 values. The comparison between NDVI and RVI for pixel covered by soil and wheat showed that RVI is more efficient to mask the influence from soil than NDVI. For calculating the NDVI, optimal bands are located mainly around 820 nm and 725 nm to 750 nm. For assessing RVI, the wavelength range from 820 to 832 nm, 794 to 808 nm, 770 to 788 nm, 725 nm to 750 nm and 890 nm for RVI are most suitable. Those optimal bands can achieve a coefficient of determination R2 higher than 0.88 by using the linear regression model in the study.
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Stuart, 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.

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Recent advances in smartphone technologies have opened the door to the development of accessible, highly portable sensing tools capable of accurate and reliable data collection in a range of environmental settings. In this article, we introduce a low-cost smartphone-based hyperspectral imaging system that can convert a standard smartphone camera into a visible wavelength hyperspectral sensor for ca. £100. To the best of our knowledge, this represents the first smartphone capable of hyperspectral data collection without the need for extensive post processing. The Hyperspectral Smartphone’s abilities are tested in a variety of environmental applications and its capabilities directly compared to the laboratory-based analogue from our previous research, as well as the wider existing literature. The Hyperspectral Smartphone is capable of accurate, laboratory- and field-based hyperspectral data collection, demonstrating the significant promise of both this device and smartphone-based hyperspectral imaging as a whole.
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Li, 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.

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A UV hyperspectral instrument was designed with a polarization measurement channel for real-time in-orbit polarization correction to reduce the influence of polarization on the detection accuracy of atmospheric radiation. One of the prerequisites for in-orbit polarization calibration is accurately calibrating the instrument’s polarization properties in the laboratory. This study first introduces the calibration method and measuring device of the polarization characteristics of the ultraviolet (UV) hyperspectral detector and conducts a polarization calibration test of the instrument. The two main error sources introduced by the calibration device were emphatically analyzed, and the correction method of the error sources was deduced theoretically. Finally, the polarization calibration results of the UV hyperspectral detector were corrected, and the uncertainty analysis of the corrected calibration results was about 1.4%, which provides effective ground polarization calibration data for the on-orbit polarization correction of the instrument.
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Balsi, 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.

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An automatic custom-made procedure is developed to identify macroplastic debris loads in coastal and marine environment, through hyperspectral imaging from unmanned aerial vehicles (UAVs). Results obtained during a remote-sensing field campaign carried out in the seashore of Sassari (Sardinia, Italy) are presented. A push-broom-sensor-based spectral device, carried onboard a DJI Matrice 600 drone, was employed for the acquisition of spectral data in the range 900−1700 nm. The hyperspectral platform was realized by assembling commercial devices, whereas algorithms for mosaicking, post-flight georeferencing, and orthorectification of the acquired images were developed in-house. Generation of the hyperspectral cube was based on mosaicking visible-spectrum images acquired synchronously with the hyperspectral lines, by performing correlation-based registration and applying the same translations, rotations, and scale changes to the hyperspectral data. Plastics detection was based on statistically relevant feature selection and Linear Discriminant Analysis, trained on a manually labeled sample. The results obtained from the inspection of either the beach site or the sea water facing the beach clearly show the successful separate identification of polyethylene (PE) and polyethylene terephthalate (PET) objects through the post-processing data treatment based on the developed classifier algorithm. As a further implementation of the procedure described, direct real-time processing, by an embedded computer carried onboard the drone, permitted the immediate plastics identification (and visual inspection in synchronized images) during the UAV survey, as documented by short video sequences provided in this research paper.
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Dissertations / Theses on the topic "Hyperspectral device"

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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.

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Vilain, 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.

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Plasmonic nanostructures are an important class of nanophotonic components capable of localising light near a metal interface on subwavelength scales. Surface plasmon polaritons (SPPs) are confmed to the metal interface and can only be studied in the past in the far-field by indirect investigation of the light resulting from their scattering. They can be studied directly using optical near-field microscopy which is capable of detecting the optical field in proximity to the surface, with sub-wavelength spatial resolution. We have developed a new tool for the investigation of surface plasmonic polaritons in a broad spectral range, the hyperspectral scanning near- field optical microscope, capable of simultaneously recording multiple near-field images in the 500-800nm spectral wavelength range. Using this microscope, the Bloch mode formation in plasmonic crystals, periodically structured metal films, have been studied along with the SPP excitation by the crystals. The role of the film thickness and crystal lattice has been studied in both the far-field and near-field. Novel plasmonic crystals with exotic lattices have been designed which provides additional advantages over the standard square lattice crystals in terms of band structure engineering and designing flat SPP bands, advantageous for applications in light extraction and unidirectional transmission. SNOM has then been used to demonstrate the new plasmonic platform based on VCSEL light source, showing direct SPP excitation on the laser surface and their efficient guiding. Multimode and single mode waveguides, Y -splitters and Mach-Zehnder interferometer configurations wen: realised. Plasmonic waveguide-ring resonators were studied incorporating non linear optical materials and optical switching has been demonstrated. The developed hyperspectral SNOM is a powerful technique for understanding the optical properties of plasmonic nanostructures and evaluating their nanophotonic capabilities. The studied plasmonic components, such as plasmonic crystals, integrated plasmonic waveguides and ring- resonator exhibit unique optical properties that pave the way for applications in photonic device optimisation and developing new concepts of signal guiding and manipulation.
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Blanco, 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.

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La formació de concrecions sòlides al tracte urinari, malaltia que rep el nom de litiasi urinària, és un desordre molt comú arreu del món. La seva taxa de incidència és del 12% a la població mundial, i la de recurrència (repetició d’episodis litiàsics) és del 50%. Els recursos destinats al tractament de la litiasi urinària suposen una important llast als pressupostos de la sanitat pública. Els reptes que fixa aquesta malaltia requereixen opcions més avançades de diagnòstic i tractament. Existeix una necessitat clara a la comunitat mèdica (i a la societat) de reduir les elevades taxes d’incidència i recurrència, que s’han de resoldre a través del coneixement i de noves opcions preventives. Aquesta Tesi Doctoral exposa els projectes desenvolupats en diverses àrees de la litiasi urinària, que inclouen anàlisi d’imatge, espectroscòpia i tècniques de separació. L’objectiu d’aquest document és oferir respostes a les limitacions indicades emprant aquestes eines. La primera Secció experimental està dedicada a la utilització de les espectroscòpies NIR i IR per ampliar el coneixement de la litogènesi i suggerir noves alternatives per a l’anàlisi dels càlculs urinaris. Una descripció precisa de la formació d’un càlcul renal és l’eina fonamental per a la identificació de factors de risc i la seva influència als processos de cristal·lització. Aquestes anàlisis presenten les bases de tractaments més adaptats. D’altra banda, el desenvolupament d’una nova metodologia analítica basada en Imatges Hiperespectrals representa un destacable avenç al tractament de la malaltia. Els processos descrits aquí superen les tècniques tradicionals en la qualitat de descripció de la mostra, el temps d’anàlisi, i no necessiten d’un analista format. Aquesta metodologia pot ser considerada seriosament com a alternativa als laboratoris clínics. La següent secció mostra la caracterització de les nanopartícules presents a l’orina mitjançant Field Flow Fractionation. L’interès en estudiar la relació entre les nanopartícules i la litiasi rau en el fet que el procés de cristal·lització s’inicia amb l’aglomeració de petites partícules en suspensió. L’objectiu final és la utilització de les nanopartícules com a biomarcador de risc litogen. La tercera Secció experimental es centra en la rellevància dels promotors de la cristal·lització, amb especial èmfasi a l’oxalat. Aquest promotor s’acostuma a incorporar a través de la dieta. El treball presentat aquí inclou la determinació del contingut en oxalat (i altres inhibidors/promotors) en extractes de plantes i xocolata, productes comuns a dietes occidentals. Addicionalment, s’ha dut a terme un estudi enfocat a l’absorció d’oxalat, que empra el marcatge isotòpic i en contrasta els resultats amb altres fórmules de determinació de risc litogen. En darrer lloc, aquest document detalla les principals contribucions de la Tesi a la transferència de coneixement: protecció intel·lectual i la presentació d’un dispositiu mèdic. Aquest aparell és capaç de classificar càlculs renals de forma ràpida emprant eines de reconeixement d’imatges. El dispositiu realitza automàticament suggeriments de tractament específics a cada mostra, per a una anàlisi individualitzada. L’interès comercial del producte ha estat estudiat, incloent un estudi de mercat. En resum, aquesta Tesi ofereix un enfocament multidisciplinar que pretén establir nexes entre aspectes fonamentals, aplicats i mèdics de la litiasi urinària. La millora de la qualitat de vida del pacient ha estat l’horitzó permanent que ha conduit aquesta recerca.
The 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.
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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.

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Dissertação de Mestrado Integrado em Engenharia Electrotécnica e de Computadores apresentada à Faculdade de Ciências e Tecnologia
O 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.
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Book chapters on the topic "Hyperspectral device"

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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.

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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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Li, 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.

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Zia, 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.

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Plant phenomics research requires different types of sensors employed to measure the physical traits of plant surface and to estimate the biomass. Of particular interests is the hyperspectral imaging device which captures wavelength indexed band images that characterize material properties of objects under study. This chapter introduces a proof of concept research that builds 3D plant model directly from hyperspectral images captured in a controlled lab environment. The method presented in this chapter allows fine structural-spectral information of an object be captured and integrated into the 3D model, which can be used to support further research and applications. The hyperspectral imaging has shown clear advantages in segmenting plant from its background and is very promising in generating comprehensive 3D plant models.
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Restaino, 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.

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Multi-platform data introduce new possibilities in the context of data fusion, as they allow to exploit several remotely sensed images acquired by different combinations of sensors. This scenario is particularly interesting for the sharpening of hyperspectral (HS) images, due to the limited availability of high-resolution (HR) sensors mounted onboard of the same platform as that of the HS device. However, the differences in the acquisition geometry and the nonsimultaneity of this kind of observations introduce further difficulties whose effects have to be taken into account in the design of data fusion algorithms. In this study, we present the most widespread HS image sharpening techniques and assess their performances by testing them over real acquisitions taken by the Earth Observing-1 (EO-1) and the WorldView-3 (WV3) satellites. We also highlight the difficulties arising from the use of multi-platform data and, at the same time, the benefits achievable through this approach.
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Zhou, 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.

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Imaging devices are of increasing use in environmental research requiring an urgent need to deal with such issues as image data, feature matching over different dimensions. Among them, matching hyperspectral image with other types of images is challenging due to the high dimensional nature of hyperspectral data. This chapter addresses this problem by investigating structured support vector machines to construct and learn a graph-based model for each type of image. The graph model incorporates both low-level features and stable correspondences within images. The inherent characteristics are depicted by using a graph matching algorithm on extracted weighted graph models. The effectiveness of this method is demonstrated through experiments on matching hyperspectral images to RGB images, and hyperspectral images with different dimensions on images of natural objects.
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Pane, 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.

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Advances in proximal sensing for targeted application of bioprotectants and biopesticides are crucial for more sustainable horticultural crop disease management. These technologies can help to identify spatial/temporal patterns of disease and provide data for forecasting models. They rely on optoelectronic devices which capture reflected and/or emitted energy from plants, using imaging and/or non-imaging technologies for rapid, non-destructive and contactless diagnosis of disease symptoms. This chapter discusses hyperspectral, multispectral and RGB sensors, thermographic and chlorophyll fluorescence probes. The chapter also discusses about the application of sensors detecting micro-environmental parameters linked to the pathogen lifecycles, which can then be used to predict disease risk.
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Conference papers on the topic "Hyperspectral device"

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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.

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Caricato, 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.

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Caricato, 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.

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Crombez, 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.

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We describe a computational hyperspectral microscope based on a structured light sheet that is generated using a digital micromirror device only. To reduce the acquisition time, we consider a small number of structured patterns. We solve the resulting inverse problem using an unrolled deep neural network, which limits the loss of spatial resolution.
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Arnob, 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.

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Ouyang, 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.

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Guern, 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.

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Yi, 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.

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Bonifazi, 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.

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Huber, 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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