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Littérature scientifique sur le sujet « Multispectral »

Auteur : Grafiati
Publié le 4 juin 2021
Mis à jour le 25 mai 2024

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Articles de revues sur le sujet "Multispectral"

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Sun, Mingyue, Qian Li, Xuzi Jiang, Tiantian Ye, Xinju Li et Beibei Niu. « Estimation of Soil Salt Content and Organic Matter on Arable Land in the Yellow River Delta by Combining UAV Hyperspectral and Landsat-8 Multispectral Imagery ». Sensors 22, no 11 (25 mai 2022) : 3990. http://dx.doi.org/10.3390/s22113990.

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Rapid and large-scale estimation of soil salt content (SSC) and organic matter (SOM) using multi-source remote sensing is of great significance for the real-time monitoring of arable land quality. In this study, we simultaneously predicted SSC and SOM on arable land in the Yellow River Delta (YRD), based on ground measurement data, unmanned aerial vehicle (UAV) hyperspectral imagery, and Landsat-8 multispectral imagery. The reflectance averaging method was used to resample UAV hyperspectra to simulate the Landsat-8 OLI data (referred to as fitted multispectra). Correlation analyses and the multiple regression method were used to construct SSC and SOM hyperspectral/fitted multispectral estimation models. Then, the best SSC and SOM fitted multispectral estimation models based on UAV images were applied to a reflectance-corrected Landsat-8 image, and SSC and SOM distributions were obtained for the YRD. The estimation results revealed that moderately salinized arable land accounted for the largest proportion of area in the YRD (48.44%), with the SOM of most arable land (60.31%) at medium or lower levels. A significant negative spatial correlation was detected between SSC and SOM in most regions. This study integrates the advantages of UAV hyperspectral and satellite multispectral data, thereby realizing rapid and accurate estimation of SSC and SOM for a large-scale area, which is of great significance for the targeted improvement of arable land in the YRD.
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Mansfield, J. R. « Multispectral Imaging ». Veterinary Pathology 51, no 1 (15 octobre 2013) : 185–210. http://dx.doi.org/10.1177/0300985813506918.

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Li, Fangyu, Jie Qi, Bin Lyu et Kurt J. Marfurt. « Multispectral coherence ». Interpretation 6, no 1 (1 février 2018) : T61—T69. http://dx.doi.org/10.1190/int-2017-0112.1.

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Seismic coherence is a routine measure of seismic reflection similarity for interpreters seeking structural boundary and discontinuity features that may be not properly highlighted on original amplitude volumes. One mostly wishes to use the broadest band seismic data for interpretation. However, because of thickness tuning effects, spectral components of specific frequencies can highlight features of certain thicknesses with higher signal-to-noise ratio than others. Seismic stratigraphic features (e.g., channels) may be buried in the full-bandwidth data, but can be “lit up” at certain spectral components. For the same reason, coherence attributes computed from spectral voice components (equivalent to a filter bank) also often provide sharper images, with the “best” component being a function of the tuning thickness and the reflector alignment across faults. Although one can corender three coherence images using red-green-blue (RGB) blending, a display of the information contained in more than three volumes in a single image is difficult. We address this problem by combining covariance matrices for each spectral component, adding them together, resulting in a “multispectral” coherence algorithm. The multispectral coherence images provide better images of channel incisement, and they are less noisy than those computed from the full bandwidth data. In addition, multispectral coherence also provides a significant advantage over RGB blended volumes. The information content from unlimited spectral voices can be combined into one volume, which is useful for a posteriori/further processing, such as color corendering display with other related attributes, such as petrophysics parameters plotted against a polychromatic color bar. We develop the value of multispectral coherence by comparing it with the RGB blended volumes and coherence computed from spectrally balanced, full-bandwidth seismic amplitude volume from a megamerge survey acquired over the Red Fork Formation of the Anadarko Basin, Oklahoma.
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Jiang, Xiaohua, Xiaoxiao Zhang, Ming Liu et Jie Tian. « Joint Panchromatic and Multispectral Geometric Calibration Method for the DS-1 Satellite ». Remote Sensing 16, no 2 (22 janvier 2024) : 433. http://dx.doi.org/10.3390/rs16020433.

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The DS-1 satellite was launched successfully on 3 June 2021 from the Taiyuan Satellite Launch Center. The satellite is equipped with a 1 m panchromatic and a 4 m multispectral sensor, providing high-resolution and wide-field optical remote sensing imaging capabilities. For satellites equipped with panchromatic and multispectral sensors, conventional geometric processing methods in the past involved separate calibration for the panchromatic sensor and the multispectral sensor. This method produced distinct internal and external calibration parameters in the respective bands, and also resulted in nonlinear geometric misalignments between the panchromatic and multispectral images due to satellite chattering and other factors. To better capitalize on the high spatial resolution of panchromatic imagery and the superior spectral resolution of multispectral imagery, it is necessary to perform registration on the calibrated panchromatic and multispectral images. When registering separately calibrated panchromatic and multispectral images, poor consistency between panchromatic and multispectral images leads to a small number of corresponding points, resulting in poor accuracy and registration effects. To address this issue, we propose a joint panchromatic and multispectral calibration method to register the panchromatic and multispectral images. Before geometric calibration, it is necessary to perform corresponding points matching. When matching, the small interval between the panchromatic and multispectral Charge-Coupled Devices (CCDs) results in a small intersection angle of the corresponding points between the panchromatic and multispectral images. As a result of this, the consistency between the spectral bands significantly improves, and the corresponding points match to have a more uniform distribution and a wider coverage. The technique enhances the consistent registration accuracy of both the panchromatic and multispectral bands. Experiments demonstrate that the joint calibration method yields a registration accuracy of panchromatic and multispectral bands exceeding 0.3 pixels.
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Abdolahpoor, Asma, et Peyman Kabiri. « New texture-based pansharpening method using wavelet packet transform and PCA ». International Journal of Wavelets, Multiresolution and Information Processing 18, no 04 (7 mai 2020) : 2050025. http://dx.doi.org/10.1142/s0219691320500253.

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Image fusion is an important concept in remote sensing. Earth observation satellites provide both high-resolution panchromatic and low-resolution multispectral images. Pansharpening is aimed on fusion of a low-resolution multispectral image with a high-resolution panchromatic image. Because of this fusion, a multispectral image with high spatial and spectral resolution is generated. This paper reports a new method to improve spatial resolution of the final multispectral image. The reported work proposes an image fusion method using wavelet packet transform (WPT) and principal component analysis (PCA) methods based on the textures of the panchromatic image. Initially, adaptive PCA (APCA) is applied to both multispectral and panchromatic images. Consequently, WPT is used to decompose the first principal component of multispectral and panchromatic images. Using WPT, high frequency details of both panchromatic and multispectral images are extracted. In areas with similar texture, extracted spatial details from the panchromatic image are injected into the multispectral image. Experimental results show that the proposed method can provide promising results in fusing multispectral images with high-spatial resolution panchromatic image. Moreover, results show that the proposed method can successfully improve spectral features of the multispectral image.
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Zhou, L., et W. S. El-Deiry. « Multispectral Fluorescence Imaging ». Journal of Nuclear Medicine 50, no 10 (16 septembre 2009) : 1563–66. http://dx.doi.org/10.2967/jnumed.109.063925.

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Grant, J., I. J. H. McCrindle, C. Li et D. R. S. Cumming. « Multispectral metamaterial absorber ». Optics Letters 39, no 5 (24 février 2014) : 1227. http://dx.doi.org/10.1364/ol.39.001227.

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Jia, Jie, Chuan Ni, Andrew Sarangan et Keigo Hirakawa. « Fourier multispectral imaging ». Optics Express 23, no 17 (19 août 2015) : 22649. http://dx.doi.org/10.1364/oe.23.022649.

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Armin, Fahimeh, et Hamid Keshmiri. « Multispectral plasmonic supercells ». Journal of Optics 20, no 7 (20 juin 2018) : 075003. http://dx.doi.org/10.1088/2040-8986/aaca0c.

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Mouats, Tarek, Nabil Aouf, Angel Domingo Sappa, Cristhian Aguilera et Ricardo Toledo. « Multispectral Stereo Odometry ». IEEE Transactions on Intelligent Transportation Systems 16, no 3 (juin 2015) : 1210–24. http://dx.doi.org/10.1109/tits.2014.2354731.

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Thèses sur le sujet "Multispectral"

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Khan, Haris Ahmad. « Multispectral constancy for illuminant invariant representation of multispectral images ». Thesis, Bourgogne Franche-Comté, 2018. http://www.theses.fr/2018UBFCK028/document.

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En imagerie couleur, un système d’acquisition capture une scène avec une haute résolution spatiale mais une résolution spectrale limitée. L’imagerie hyperspectrale permet d’acquérir la scène avec une grande résolution spectrale. Un système d’acquisition hyperspectrale est un ensemble complexe et il est difficile de l’utiliser pour acquérir des données dans une situation où les conditions d’imageries ne sont pas contrôlées. De plus, ces systèmes sont chers et souvent encombrants ou difficiles à manipuler. À cause de ces problèmes, l’utilisation de l’imagerie hyperspectrale n’a pas encore été beaucoup utilisée en vision assistée par ordinateur, et la plupart des systèmes de vision utilise l’imagerie couleur.L’imagerie multispectrale propose une solution intermédiaire, elle permet de capturer une information moins résolue selon la dimension spectrale, comparée à l’hyperspectrale, tout en préservant la résolution spatiale. Ces systèmes sont moins encombrants et moins difficiles à maitriser grâce aux récentes avancées technologiques, et arrivent sur le marché en tant que produits commerciaux. On peut citer les matrices de filtres spectraux (spectral filter arrays) qui permettent l’acquisition en temps réel d’images multispectrales grâce à l’utilisation d’unecaméra de complexité similaire à une caméra couleur. Jusqu’ici, les informations capturées par ces systèmes étaient considérées de la même manière que les imageurs hyperspectraux en champ proche, c’est à dire que pour utiliser l’information au mieux, les conditions d’acquisitions devaient être connues et le système calibré, en particulier pour l’éclairage de la scène et la dynamique de la scène.Afin d’élargir l’utilisation de l’imagerie multispectrale pour la vision par ordinateur dans des conditions générales, je propose dans cette thèse de développer les méthodes calculatoires en imagerie couleur (computational color imaging) et de les adapter aux systèmes d’imagerie multispectraux. Une caractéristique très puissante de l’imagerie couleur est de proposer un rendu constant des couleurs de la surface d’un objet à travers différentes conditions d’acquisition via l’utilisation d’algorithmes et divers traitements de l’information.Dans cette thèse, j’étends la notion de constance des couleurs et de balance des blancs de l’imagerie couleur à l’imagerie multispectrale. J’introduis le terme de constance de l’information spectrale (multispectral constancy).Je propose la construction d’un ensemble d’outils permettant la représentation constante de l’information spectrale à travers le changement d’éclairage. La validité de ces outils est évaluée à travers la reconstruction de la réflectance spectrale des objets lorsque l’éclairage change. Nous avons également acquis de nouvelles images hyperspectrales et multispectrales mises à disposition de la communauté.Ces outils et données permettront de favoriser la généralisation de l’utilisation de l’imagerie multispectrale en champ proche dans les applications classiques utilisant traditionnellement l’imagerie couleur et de sortir ce mode d’imagerie des laboratoires. L’avantage en vision par ordinateur est une meilleure analyse de la réflectance de la surface des objets et donc un avantage certain dans les tâches de classification et d’identification de matériaux
A conventional color imaging system provides high resolution spatial information and low resolution spectral data. In contrast, a multispectral imaging system is able to provide both the spectral and spatial information of a scene in high resolution. A multispectral imaging system is complex and it is not easy to use it as a hand held device for acquisition of data in uncontrolled conditions. The use of multispectral imaging for computer vision applications has started recently but is not very efficient due to these limitations. Therefore, most of the computer vision systems still rely on traditional color imaging and the potential of multispectral imaging for these applications has yet to be explored.With the advancement in sensor technology, hand held multispectral imaging systems are coming in market. One such example is the snapshot multispectral filter array camera. So far, data acquisition from multispectral imaging systems require specific imaging conditions and their use is limited to a few applications including remote sensing and indoor systems. Knowledge of scene illumination during multispectral image acquisition is one of the important conditions. In color imaging, computational color constancy deals with this condition while the lack of such a framework for multispectral imaging is one of the major limitation in enabling the use of multispectral cameras in uncontrolled imaging environments.In this work, we extend some methods of computational color imaging and apply them to the multispectral imaging systems. A major advantage of color imaging is the ability of providing consistent color of objects and surfaces across varying imaging conditions. In this work, we extend the concept of color constancy and white balancing from color to multispectral images, and introduce the term multispectral constancy.The validity of proposed framework for consistent representation of multispectral images is demonstrated through spectral reconstruction of material surfaces from the acquired images. We have also presented a new hyperspectral reflectance images dataset in this work. The framework of multispectral constancy will make it one step closer for the use of multispectral imaging in computer vision applications, where the spectral information, as well as the spatial information of a surface will be able to provide distinctive useful features for material identification and classification tasks
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Adams, Andrew J. « Multispectral persistent surveillance / ». Online version of thesis, 2008. http://hdl.handle.net/1850/7070.

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Wahham, Atheer. « Multispectral Image Acquisition ». Thesis, Linköpings universitet, Institutionen för teknik och naturvetenskap, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-97053.

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The purpose of this project was to develop control software for a multi-spectral imaging system. The multi-spectral imaging system used by the colour Lab consists of a camera (Alta USB camera) and a filter (VariSpec liquid crystal tuneable filter). The camera and the filter were delivered by two different manufacturers and therefore have two separate stand-alone control programs. The fact that the hardware had to be controlled by two separate pieces of software meant that the image capturing procedure was very time-consuming and needed an unrealistic amount of user input. The project resulted in a C++ console program with all the required and necessary functionsas those provided by the individual software, camera and filter; and operated both the camera and the filter simultaneously and conveniently. The project was performed at the Norwegian colour Laboratory in Gjøvik University College.
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Jia, Jie. « Fourier Multispectral Imaging ». University of Dayton / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1494159492377494.

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Isoz, Wilhelm. « Calibration of Multispectral Sensors ». Thesis, Linköping University, Department of Electrical Engineering, 2005. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-5202.

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This thesis describes and evaluates a number of approaches and algorithms for nonuniform correction (NUC) and suppression of fixed pattern noise in a image sequence. The main task for this thesis work was to create a general NUC for infrared focal plane arrays. To create a radiometrically correct NUC, reference based methods using polynomial approximation are used instead of the more common scene based methods which creates a cosmetic NUC.

The pixels that can not be adjusted to give a correct value for the incomming radiation are defined as dead. Four separate methods of identifying dead pixels are used to find these pixels. Both the scene sequence and calibration data are used in these identifying methods.

The algorithms and methods have all been tested by using real image sequences. A graphical user interface using the presented algorithms has been created in Matlab to simplify the correction of image sequences. An implementation to convert the corrected values from the images to radiance and temperature is also performed.

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Unsalan, Cem. « Multispectral satellite image understanding ». The Ohio State University, 2003. http://rave.ohiolink.edu/etdc/view?acc_num=osu1061903845.

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Ünsalan, Cem. « Multispectral satellite image understanding ». Columbus, Ohio : Ohio State University, 2003. http://rave.ohiolink.edu/etdc/view?acc%5num=osu1061903845.

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Thesis (Ph. D.)--Ohio State University, 2003.
Title from first page of PDF file. Document formatted into pages; contains xix, 235 p. : ill. (some col.). Advisor: Kim L. Boyer, Department of Electrical Engineering. Includes bibliographical references (p. 216-235).
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Vivone, Gemine. « Multispectral and hyperspectral pansharpening ». Doctoral thesis, Universita degli studi di Salerno, 2014. http://hdl.handle.net/10556/1604.

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2012-2013
Remote sensing consists in measuring some characteristics of an object from a distance. A key example of remote sensing is the Earth observation from sensors mounted on satellites that is a crucial aspect of space programs. The first satellite used for Earth observation was Explorer VII. It has been followed by thousands of satellites, many of which are still working. Due to the availability of a large number of different sensors and the subsequent huge amount of data collected, the idea of obtaining improved products by means of fusion algorithms is becoming more intriguing. Data fusion is often exploited for indicating the process of integrating multiple data and knowledge related to the same real-world scene into a consistent, accurate, and useful representation. This term is very generic and it includes different levels of fusion. This dissertation is focused on the low level data fusion, which consists in combining several sources of raw data. In this field, one of the most relevant scientific application is surely the Pansharpening. Pansharpening refers to the fusion of a panchromatic image (a single band that covers the visible and near infrared spectrum) and a multispectral/hyperspectral image (tens/hundreds bands) acquired on the same area. [edited by author]
XII ciclo n.s.
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Von, chong echevers Alejandro. « Nouvelle approche pour l'estimation de la saturation en oxygène du sang artériel en utilisant un capteur multispectrale ». Thesis, Cergy-Pontoise, 2019. http://www.theses.fr/2019CERG1023.

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Ce manuscrit présente les travaux réalisés pour la mise au point d’un système d’estimation du taux d’oxygénation connu aussi sous le nom d’oxymètre de pouls. Ledit outil est indispensable, notamment dans le domaine médical, pour la surveillance des patients lors des interventions anesthésiques, pour les soins post-opératoires et aux urgences puisqu’il fournit de l’information relative à l’efficacité respiratoire et au rythme cardiaque. Le principe d’opération de ce dernier est basé sur la différence en absorption optique entre le sang oxygéné et le sang désoxygéné à l’aide d’une photodiode simple comme moyen de détection. Dans ce travail de recherche, nous introduisons une nouvelle méthode basée sur la différence des spectres d’absorption entre le sang oxygéné et le sang désoxygéné en utilisant un photodétecteur multispectrale.En premier lieu, une introduction et une analyse de l’état de l’art sont faites afin de mieux comprendre la théorie derrière l’oxymétrie de pouls et de mettre en évidence les limitations des méthodes actuelles, ce qui nous permettra de positionner scientifiquement et techniquement les contributions. Ensuite, une explication détaillée du système conçu, concernant l’électronique, l’acquisition et traitement des signaux est décrite.Finalement, nous présentons les résultats obtenus avec la méthode proposée. D’abord, une preuve de concept à plusieurs longueurs d’onde a été faite avec un spectromètre comme moyen de détection afin de valider le principe de fonctionnement de notre méthode. Pour ce faire, nous avons effectué des tests de désoxygénation par rétention de la respiration conjointement avec un oxymètre de haute gamme comme moyen de comparaison. Une fois le principe validé, nous avons remplacé le spectromètre par un capteur multispectrale. Nous avons alors montré que les estimations faites avec notre méthode, en régime stable, tombaient dans la tolérance permise par la norme ISO régulant les oxymètres de pouls.Ces travaux ouvrent une voie alternative et complémentaire à l’étude de l’oxymétrie de pouls capable de surmonter plusieurs limitations présentes dans la technique conventionnelle, en particulier dans le cadre du design d’implants autonomes. Des essais cliniques à venir permettront d’approfondir sur l’utilité de cette méthode et ses limitations
This manuscript presents the work done to develop an alternative system for the estimation of the oxygen saturation of blood, also known as pulse oximeter. It is an essential tool, especially in the medical field, for patient monitoring during anesthesia procedures, post-operative care and emergencies, since it provides information related to the respiratory efficiency and heart rate. The principle of operation of the latter is based in the difference in optical absorption between oxygenated blood and deoxygenated blood using a simple photodiode as the sensor. In this research work, we introduce a new method based on the difference between the absorption spectrum between oxygenated blood and deoxygenated blood using a multispectral photodetector.In the first place, an introduction and analysis of the state of the art are made to better understand the theory behind pulse oximetry and highlight the limitations of current methods, which will allow us to position ourselves scientifically and technologically, for our contribution. Then, a detailed explanation of the designed system, concerning the electronics, the acquisition and signal processing is described.Finally, we present the results obtained with our proposed method. First, a proof of concept at several wavelengths was made with a spectrometer as a means of detection to validate the principle of operation. To accomplish deoxygenation, breath holding tests were carried out in conjunction with a high-end oximeter as a means of comparison. Once the principle was validated, we replaced the spectrometer with a multispectral sensor. We found that the estimates made with our method, under stable state conditions, fell within the tolerance allowed by the ISO standard regulating pulse oximeters.Since this is a new principle, we consider that with this work, we open an additional path to the study of pulse oximetry which might allow to overcome several limitations present in the conventional technique. Future clinical trials will explore the usefulness of this method and its limitations
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Nyström, Daniel. « Multispectral Color Reproduction Using DLP ». Thesis, Linköping University, Department of Science and Technology, 2002. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-1291.

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The color gamut, i.e. the range of reproducible colors, is in most conventional display systems not sufficient for accurate color reproduction of highly saturated colors. Any conventional three-primary display suffers from a color gamut limited within the triangle spanned by the primary colors. Even by using purer primaries, enlarging the triangle, there will still be a problem to cover all the perceivable colors. By using a system with more than three primary colors, in printing denoted Hi-Fi color, the gamut will be expanded into a polygon, yielding a larger gamut and better color reproduction.

Digital Light Processing (DLP) is a projection technology developed by Texas Instrument. It uses a chip with an array of thousands of individually controllable micromirrors, each representing a single pixel in the projected image. A lamp illuminates the micromirrors, and by controlling the amount of time each mirror reflect the light, using pulse width modulation, the projected image is created. Color reproduction is achieved by letting the light pass through color filters, corresponding to the three primaries, mounted in a filter wheel.

In this diploma work, the DLP projector InFocus® LP™350 has been evaluated, using the Photo Research® PR®-705 Spectroradiometer. The colorimetric performance of the projector is found to be surprisingly poor, with a color gamut noticeably smaller then that of a CRT monitor using standardized phosphors. This is due to the broad banded filters used, yielding increased brightness at the expense of the pureness of the primaries.

With the intention of evaluating the potential for the DLP technology in multi- primary systems, color filters are selected for additional primary colors. The filters are selected from a set of commercially available filters, the Kodak Wratten filters for science and technology. Used as performance criteria for filter selection is the volume of the gamut in the CIE 1976 (L*u*v*) uniform color space.

The selected filters are measured and evaluated in combination with the projector, verifying the theoretical results from the filter selection process. Colorimetric performance of the system is greatly improved, yielding an expansion of the color gamut in CIE 1976 (L*u*v*) color space by 79%, relative the original three-primary system. These results indicate the potential for DLP in multiprimary display systems, with the capacity to greatly expand the color gamut, by using carefully selected filters for additional primary colors.

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Livres sur le sujet "Multispectral"

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Zhang, David, Zhenhua Guo et Yazhuo Gong. Multispectral Biometrics. Cham : Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-22485-5.

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Ünsalan, Cem, et Kim L. Boyer. Multispectral Satellite Image Understanding. London : Springer London, 2011. http://dx.doi.org/10.1007/978-0-85729-667-2.

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F, Belokon William, Spectral Imagery Training Center (Logicon Geodynamics) et Logicon Geodynamics Inc, dir. Multispectral imagery reference guide. Fairfax, VA : LOGICON Geodynamics, 1997.

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He, Xin, Paul Beckett et Ranjith R. Unnithan. Multispectral Image Sensors Using Metasurfaces. Singapore : Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-7515-7.

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m, Daniel Nystro. Colorimetric and multispectral image acquisition. Norrko ping : Digital Media Division, Dept. of Science and Technology, Campus Norrko ping, Linko ping University, 2006.

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K, Lucchitta Baerbel, dir. Multispectral Landsat images of Antarctica. Washington : U.S. G.P.O., 1987.

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Morresi, Fabio. New light on the Deposition by Caravaggio. Città del Vaticano : Edizioni Musei Vaticani, 2016.

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Bunkō gazō nyūmon. Tōkyō-to Shinjuku-ku : Asakura Shoten, 2013.

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J, Shen, Wang Patrick S-P, Zhang T, Society of Photo-optical Instrumentation Engineers. et International Symposium on Multispectral Image Processing (1998 : Wuhan, China), dir. Multispectral image processing and pattern recognition. Singapore : World Scientific, 2001.

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Landgrebe, David A. Signal Theory Methods in Multispectral Remote Sensing. Hoboken, NJ, USA : John Wiley & Sons, Inc., 2003. http://dx.doi.org/10.1002/0471723800.

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Chapitres de livres sur le sujet "Multispectral"

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Zhang, David, Zhenhua Guo et Yazhuo Gong. « Overview ». Dans Multispectral Biometrics, 3–22. Cham : Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-22485-5_1.

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Zhang, David, Zhenhua Guo et Yazhuo Gong. « Multiple Band Selection of Multispectral Dorsal Hand ». Dans Multispectral Biometrics, 187–206. Cham : Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-22485-5_10.

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Zhang, David, Zhenhua Guo et Yazhuo Gong. « Comparison of Palm and Dorsal Hand Recognition ». Dans Multispectral Biometrics, 207–20. Cham : Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-22485-5_11.

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Zhang, David, Zhenhua Guo et Yazhuo Gong. « Book Review and Future Work ». Dans Multispectral Biometrics, 223–26. Cham : Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-22485-5_12.

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Zhang, David, Zhenhua Guo et Yazhuo Gong. « Multispectral Biometrics Systems ». Dans Multispectral Biometrics, 23–35. Cham : Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-22485-5_2.

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Zhang, David, Zhenhua Guo et Yazhuo Gong. « Multispectral Iris Acquisition System ». Dans Multispectral Biometrics, 39–62. Cham : Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-22485-5_3.

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Zhang, David, Zhenhua Guo et Yazhuo Gong. « Feature Band Selection for Multispectral Iris Recognition ». Dans Multispectral Biometrics, 63–88. Cham : Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-22485-5_4.

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Zhang, David, Zhenhua Guo et Yazhuo Gong. « The Prototype Design of Multispectral Iris Recognition System ». Dans Multispectral Biometrics, 89–114. Cham : Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-22485-5_5.

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Zhang, David, Zhenhua Guo et Yazhuo Gong. « An Online System of Multispectral Palmprint Verification ». Dans Multispectral Biometrics, 117–37. Cham : Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-22485-5_6.

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Zhang, David, Zhenhua Guo et Yazhuo Gong. « Empirical Study of Light Source Selection for Palmprint Recognition ». Dans Multispectral Biometrics, 139–51. Cham : Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-22485-5_7.

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Actes de conférences sur le sujet "Multispectral"

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Lepretre, François. « Lens assemblies for multispectral camera ». Dans The European Conference on Lasers and Electro-Optics. Washington, D.C. : Optica Publishing Group, 1994. http://dx.doi.org/10.1364/cleo_europe.1994.cfi6.

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In the framework of a contract with the Indian Space Agency (ISRO), MATRA DEFENSE-DOD/UAO have developed, produced, and tested 36 types LISS 1-LISS 2 lenses and 12 LISS 3 lenses equipped with their interferential filters. These lenses are intended to form the optical systems of multispectral cameras aboard Indian earth observation satellites IRS 1A, IB, 1C, and ID. It should be noted that the multispectrum cameras of the IRS 1A-1B satellite have been in operational orbit for two years and have given very satisfactory results.
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Trefilov, D. A., E. A. Antonov et A. A. Kupriyanov. « Laser backlight for multispectral camera ». Dans 2022 33th All-Russian Youth Exhibition of Innovations. Publishing House of Kalashnikov ISTU, 2022. http://dx.doi.org/10.22213/ie022144.

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A laser backlight device has been developed for the operation of a multispectral camera at night. Methods of laser backlight were considered. The simplest backlight method that can be used for multispectral cameras is chosen. Its simplicity is calculated in the number of accepted components. Calculations of the required measurement power of laser sources to solve the required beam measurement and after receiving the decision of the multispectral camera are performed, as well as the optical parameters of the lens are calculated in order to obtain a measurement of a beam of a certain size on the object. Laser sources were used in each channel of the multispectral camera, according to the required power. Lens analysis suggestions for each radiation system. The developed scheme of the device was also presented and its dimensions were provided.
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Kapsokalyvas, Dimitrios, Nicola Bruscino, Giovanni Cannarozzo, Vicenzo de Giorgi, Torello Lotti et Francesco S. Pavone. « Multispectral Dermoscope ». Dans European Conference on Biomedical Optics. Washington, D.C. : OSA, 2009. http://dx.doi.org/10.1364/ecbo.2009.7368_0d.

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Kapsokalyvas, Dimitrios, Nicola Bruscino, Giovanni Cannarozzo, Vincenzo De Giorgi, Torello Lotti et Francesco S. Pavone. « Multispectral dermoscope ». Dans European Conferences on Biomedical Optics, sous la direction de Irene Georgakoudi, Jürgen Popp et Katarina Svanberg. SPIE, 2009. http://dx.doi.org/10.1117/12.831564.

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Lyu, Bin, Jie Qi, Fangyu Li et Kurt J. Marfurt. « Multispectral aberrancy ». Dans SEG Technical Program Expanded Abstracts 2020. Society of Exploration Geophysicists, 2020. http://dx.doi.org/10.1190/segam2020-3426483.1.

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Bayya, Shyam S., Daniel J. Gibson, Adam Floyd, Vinh Nguyen, Jas Sanghera, Jay Vizgaitis et David Zelmon. « Multispectral optics ». Dans Image Sensing Technologies : Materials, Devices, Systems, and Applications IX, sous la direction de K. Kay Son, Nibir K. Dhar, Achyut K. Dutta et Sachidananda R. Babu. SPIE, 2022. http://dx.doi.org/10.1117/12.2621612.

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Catrysse, Peter B., et Shanhui Fan. « Multispectral Routers for Snapshot Spectral Imaging ». Dans CLEO : Applications and Technology. Washington, D.C. : Optica Publishing Group, 2023. http://dx.doi.org/10.1364/cleo_at.2023.atu3k.5.

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We introduce multispectral routers for snapshot spectral imaging. Multispectral routers, unlike filters, do not reject light to select spectral content and can achieve ideal spectral selectivity without loss of photons within a wavelength size footprint.
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Lepretre, François. « Lens assemblies for multi-spectral camera ». Dans The European Conference on Lasers and Electro-Optics. Washington, D.C. : Optica Publishing Group, 1994. http://dx.doi.org/10.1364/cleo_europe.1994.cwf20.

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In the framework of a contract with the Indian Space Agency (ISRO), MATRA DEFENSE—DOD/UAO have developed, produced, and tested 36 types LISS 1-LISS 2 lenses and 12 LISS 3 lenses equipped with their interferential filters. These lenses are intended to form the optical systems of multispectral cameras aboard Indian earth observation satellites 1RS 1A, 1B, 1C, and 1D. It should be noted that the multispectrum cameras of the 1RS 1A-1B satellite have been in operational orbit for two years and have given very satisfactory results.
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Yong Xu et Qi Zhu. « PCA-Based Multispectral Band Compression and Multispectral Palmprint Recognition ». Dans 2011 International Conference on Hand-Based Biometrics (ICHB). IEEE, 2011. http://dx.doi.org/10.1109/ichb.2011.6094303.

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Shaffer, William A., et Ray O. Johnson. « Infrared multispectral field measurements for the joint multispectral program ». Dans SPIE's 1995 Symposium on OE/Aerospace Sensing and Dual Use Photonics, sous la direction de Wendell R. Watkins et Dieter Clement. SPIE, 1995. http://dx.doi.org/10.1117/12.210621.

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Rapports d'organisations sur le sujet "Multispectral"

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Jokerst, Nan M. Multispectral Detector Array Technology. Fort Belvoir, VA : Defense Technical Information Center, décembre 1999. http://dx.doi.org/10.21236/ada408608.

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Bluzer, Nathan, et Martin G. Forrester. Multispectral Superconducting Quantum Detectors. Fort Belvoir, VA : Defense Technical Information Center, mars 1999. http://dx.doi.org/10.21236/ada361795.

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Snyder, Wesley E. Segmentation Using Multispectral Adaptive Contours. Fort Belvoir, VA : Defense Technical Information Center, février 2004. http://dx.doi.org/10.21236/ada424462.

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Oldenborger, G. A., B. Faucher et A. M. LeBlanc. Multispectral permafrost terrain classification, Rankin Inlet, Nunavut. Natural Resources Canada/CMSS/Information Management, 2021. http://dx.doi.org/10.4095/328869.

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Becker, Sarah, Craig Daughtry et Andrew Russ. Robust forest cover indices for multispectral images. Engineer Research and Development Center (U.S.), décembre 2021. http://dx.doi.org/10.21079/11681/42760.

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Trees occur in many land cover classes and provide significant ecosystem services. Remotely sensed multispectral images are often used to create thematic maps of land cover, but accurately identifying trees in mixed land-use scenes is challenging. We developed two forest cover indices and protocols that reliably identified trees in WorldView-2 multispectral images. The study site in Maryland included coniferous and deciduous trees associated with agricultural fields and pastures, residential and commercial buildings, roads, parking lots, wetlands, and forests. The forest cover indices exploited the product of either the reflectance in red (630 to 690 nm) and red edge (705 to 745 nm) bands or the product of reflectance in red and near infrared (770 to 895 nm) bands. For two classes (trees versus other), overall classification accuracy was >77 percent for the four images that were acquired in each season of the year. Additional research is required to evaluate these indices for other scenes and sensors.
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Theiler, James Patrick. Machine Learning for Background Estimation in Multispectral Imagery. Office of Scientific and Technical Information (OSTI), octobre 2018. http://dx.doi.org/10.2172/1479921.

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Pinkus, Alan R., David W. Dommett, H. L. Task, Sheldon E. Unger et David W. Sivert. Synthetic Observer Approach to Multispectral Sensor Resolution Assessment. Fort Belvoir, VA : Defense Technical Information Center, septembre 2010. http://dx.doi.org/10.21236/ada528908.

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Sheffield, Charles, et Gil Richardson. New Methods of Change Detection Using Multispectral Data. Fort Belvoir, VA : Defense Technical Information Center, mai 1991. http://dx.doi.org/10.21236/ada239370.

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Rand, Robert S., John E. Anderson et Donald A. Davis. Multispectral Image Maps from Landsat Thematic Mapper Data. Fort Belvoir, VA : Defense Technical Information Center, septembre 1991. http://dx.doi.org/10.21236/ada240453.

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Neer, Michael M. Multispectral Imagery in Support of Low Intensity Conflict. Fort Belvoir, VA : Defense Technical Information Center, mars 1990. http://dx.doi.org/10.21236/ada220651.

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