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Статті в журналах з теми "Imagerie SWIR":
1
Liu, Q., X. Li, G. Liu, C. Huang, H. Li, and X. Guan. "SHARPENDING OF THE VNIR AND SWIR BANDS OF THE WIDE BAND SPECTRAL IMAGER ONBOARD TIANGONG-II IMAGERY USING THE SELECTED BANDS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-3 (April 30, 2018): 1085–92. http://dx.doi.org/10.5194/isprs-archives-xlii-3-1085-2018.
Анотація:
The Tiangong-II space lab was launched at the Jiuquan Satellite Launch Center of China on September 15, 2016. The Wide Band Spectral Imager (WBSI) onboard the Tiangong-II has 14 visible and near-infrared (VNIR) spectral bands covering the range from 403–990 nm and two shortwave infrared (SWIR) bands covering the range from 1230–1250 nm and 1628–1652 nm respectively. In this paper the selected bands are proposed which aims at considering the closest spectral similarities between the VNIR with 100 m spatial resolution and SWIR bands with 200 m spatial resolution. The evaluation of Gram-Schmidt transform (GS) sharpening techniques embedded in ENVI software is presented based on four types of the different low resolution pan band. The experimental results indicated that the VNIR band with higher CC value with the raw SWIR Band was selected, more texture information was injected the corresponding sharpened SWIR band image, and at that time another sharpened SWIR band image preserve the similar spectral and texture characteristics to the raw SWIR band image.
2
Purwanto, Anang Dwi, and Wikanti Asriningrum. "IDENTIFICATION OF MANGROVE FORESTS USING MULTISPECTRAL SATELLITE IMAGERIES." International Journal of Remote Sensing and Earth Sciences (IJReSES) 16, no. 1 (October 30, 2019): 63. http://dx.doi.org/10.30536/j.ijreses.2019.v16.a3097.
Анотація:
The visual identification of mangrove forests is greatly constrained by combinations of RGB composite. This research aims to determine the best combination of RGB composite for identifying mangrove forest in Segara Anakan, Cilacap using the Optimum Index Factor (OIF) method. The OIF method uses the standard deviation value and correlation coefficient from a combination of three image bands. The image data comprise Landsat 8 imagery acquired on 30 May 2013, Sentinel 2A imagery acquired on 18 March 2018 and images from SPOT 6 acquired on 10 January 2015. The results show that the band composites of 564 (NIR+SWIR+Red) from Landsat 8 and 8a114 (Vegetation Red Edge+SWIR+Red) from Sentinel 2A are the best RGB composites for identifying mangrove forest, in addition to those of 341 (Red+NIR+Blue) from SPOT 6. The near-infrared (NIR) and short-wave infrared (SWIR) bands play an important role in determining mangrove forests. The properties of vegetation are reflected strongly at the NIR wavelength and the SWIR band is very sensitive to evaporation and the identification of wetlands.
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Xu, Dandan, Dong Zhang, Dan Shi, and Zhaoqing Luan. "Automatic Extraction of Open Water Using Imagery of Landsat Series." Water 12, no. 7 (July 6, 2020): 1928. http://dx.doi.org/10.3390/w12071928.
Анотація:
Open surface freshwater is an important resource for terrestrial ecosystems. However, climate change, seasonal precipitation cycling, and anthropogenic activities add high variability to its availability. Thus, timely and accurate mapping of open surface water is necessary. In this study, a methodology based on the concept of spatial autocorrelation was developed for automatic water extraction from Landsat series images using Taihu Lake in south-eastern China as an example. The results show that this method has great potential to extract continuous open surface water automatically, even when the water surface is covered by floating vegetation or algal blooms. The results also indicate that the second shortwave-infrared band (SWIR2) band performs best for water extraction when water is turbid or covered by surficial vegetation. Near-infrared band (NIR), first shortwave-infrared band (SWIR1), and SWIR2 have consistent extraction success when the water surface is not covered by vegetation. Low filter image processing greatly overestimated extracted water bodies, and cloud and image salt and pepper issues have a large impact on water extraction using the methods developed in this study.
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Rostami, Amirhossein, Reza Shah-Hosseini, Shabnam Asgari, Arastou Zarei, Mohammad Aghdami-Nia, and Saeid Homayouni. "Active Fire Detection from Landsat-8 Imagery Using Deep Multiple Kernel Learning." Remote Sensing 14, no. 4 (February 17, 2022): 992. http://dx.doi.org/10.3390/rs14040992.
Анотація:
Active fires are devastating natural disasters that cause socio-economical damage across the globe. The detection and mapping of these disasters require efficient tools, scientific methods, and reliable observations. Satellite images have been widely used for active fire detection (AFD) during the past years due to their nearly global coverage. However, accurate AFD and mapping in satellite imagery is still a challenging task in the remote sensing community, which mainly uses traditional methods. Deep learning (DL) methods have recently yielded outstanding results in remote sensing applications. Nevertheless, less attention has been given to them for AFD in satellite imagery. This study presented a deep convolutional neural network (CNN) “MultiScale-Net” for AFD in Landsat-8 datasets at the pixel level. The proposed network had two main characteristics: (1) several convolution kernels with multiple sizes, and (2) dilated convolution layers (DCLs) with various dilation rates. Moreover, this paper suggested an innovative Active Fire Index (AFI) for AFD. AFI was added to the network inputs consisting of the SWIR2, SWIR1, and Blue bands to improve the performance of the MultiScale-Net. In an ablation analysis, three different scenarios were designed for multi-size kernels, dilation rates, and input variables individually, resulting in 27 distinct models. The quantitative results indicated that the model with AFI-SWIR2-SWIR1-Blue as the input variables, using multiple kernels of sizes 3 × 3, 5 × 5, and 7 × 7 simultaneously, and a dilation rate of 2, achieved the highest F1-score and IoU of 91.62% and 84.54%, respectively. Stacking AFI with the three Landsat-8 bands led to fewer false negative (FN) pixels. Furthermore, our qualitative assessment revealed that these models could detect single fire pixels detached from the large fire zones by taking advantage of multi-size kernels. Overall, the MultiScale-Net met expectations in detecting fires of varying sizes and shapes over challenging test samples.
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Ye, Bei, Shufang Tian, Qiuming Cheng, and Yunzhao Ge. "Application of Lithological Mapping Based on Advanced Hyperspectral Imager (AHSI) Imagery Onboard Gaofen-5 (GF-5) Satellite." Remote Sensing 12, no. 23 (December 6, 2020): 3990. http://dx.doi.org/10.3390/rs12233990.
Анотація:
The Advanced Hyperspectral Imager (AHSI), carried by the Gaofen-5 (GF-5) satellite, is the first hyperspectral sensor that simultaneously offers broad coverage and a broad spectrum. Meanwhile, deep-learning-based approaches are emerging to manage the growing volume of data produced by satellites. However, the application potential of GF-5 AHSI imagery in lithological mapping using deep-learning-based methods is currently unknown. This paper assessed GF-5 AHSI imagery for lithological mapping in comparison with Shortwave Infrared Airborne Spectrographic Imager (SASI) data. A multi-scale 3D deep convolutional neural network (M3D-DCNN), a hybrid spectral CNN (HybridSN), and a spectral–spatial unified network (SSUN) were selected to verify the applicability and stability of deep-learning-based methods through comparison with support vector machine (SVM) based on six datasets constructed by GF-5 AHSI, Sentinel-2A, and SASI imagery. The results show that all methods produce classification results with accuracy greater than 90% on all datasets, and M3D-DCNN is both more accurate and more stable. It can produce especially encouraging results by just using the short-wave infrared wavelength subset (SWIR bands) of GF-5 AHSI data. Accordingly, GF-5 AHSI imagery could provide impressive results and its SWIR bands have a high signal-to-noise ratio (SNR), which meets the requirements of large-scale and large-area lithological mapping. And M3D-DCNN method is recommended for use in lithological mapping based on GF-5 AHSI hyperspectral data.
6
Casana, Jesse, and Carolin Ferwerda. "Drone-Acquired Short-Wave Infrared (SWIR) Imagery in Landscape Archaeology: An Experimental Approach." Remote Sensing 16, no. 10 (May 9, 2024): 1671. http://dx.doi.org/10.3390/rs16101671.
Анотація:
Many rocks, minerals, and soil types reflect short-wave infrared (SWIR) imagery (900–2500 nm) in distinct ways, and geologists have long relied on this property to aid in the mapping of differing surface lithologies. Although surface archaeological features including artifacts, anthrosols, or structural remains also likely reflect SWIR wavelengths of light in unique ways, archaeological applications of SWIR imagery are rare, largely due to the low spatial resolution and high acquisition costs of these data. Fortunately, a new generation of compact, drone-deployable sensors now enables the collection of ultra-high-resolution (<10 cm), hyperspectral (>100 bands) SWIR imagery using a consumer-grade drone, while the analysis of these complex datasets is now facilitated by powerful imagery-processing software packages. This paper presents an experimental effort to develop a methodology that would allow archaeologists to collect SWIR imagery using a drone, locate surface artifacts in the resultant data, and identify different artifact types in the imagery based on their reflectance values across the 900–1700 nm spectrum. Our results illustrate both the potential of this novel approach to exploring the archaeological record, as we successfully locate and characterize many surface artifacts in our experimental study, while also highlighting challenges in successful data collection and analysis, largely related to current limitations in sensor and drone technology. These findings show that as underlying hardware sees continued improvements in the coming years, drone-acquired SWIR imagery can become a powerful tool for the discovery, documentation, and analysis of archaeological landscapes.
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Feng, Haixia, Chao Chen, Heng Dong, Jinliang Wang, and Qingye Meng. "Modified Shortwave Infrared Perpendicular Water Stress Index: A Farmland Water Stress Monitoring Method." Journal of Applied Meteorology and Climatology 52, no. 9 (September 2013): 2024–32. http://dx.doi.org/10.1175/jamc-d-12-0164.1.
Анотація:
AbstractCrop water stress monitoring by remote sensing has been the focus of numerous studies. In this paper, specifically red (630–690 nm) and shortwave infrared (SWIR; 1550–1750 nm) wavelength bands are identified to monitor farmland water stress, and a method [modified shortwave infrared perpendicular water stress index (MSPSI)] is developed that is based on the spectral space constructed by SWIR − Red (Rd) and SWIR + Red (Rs). The MSPSI stayed at mostly the same water stress level for full vegetation coverage cases with high vegetation water content and saturated bare soil as well as full vegetation coverage with extremely low vegetation water and dry bare soil in the Rs–Rd spectral feature space. This approach makes the water stress conditions between different covers comparable and the MSPSI applicable to farmland water stress monitoring in different vegetation covers throughout the growing season. To validate the proposed index, the MSPSI calculated from Thematic Mapper images and Moderate Resolution Imaging Spectroradiometer (MODIS) 500-m reflectance products (from March to October) in the Ningxia Hui Autonomous Region was compared with the ground-measured soil moisture content at different depths. It is evident from the results that the MSPSI derived from satellite imageries is highly correlated with ground-measured soil moisture at different depths (7.6 and 10 cm), with coefficients of determination R2 of 0.666, 0.512, 0.576, 0.361, 0.383, 0.391, 0.357, 0.410, and 0.418. The paper concludes that MSPSI is a promising index for crop water stress monitoring throughout the growing season.
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WANG, Yue-Ming, Qian ZHU, Jian-Yu WANG, and Xiao-Qiong ZHUANG. "Characterization of background radiation in SWIR hyperspectral imager." JOURNAL OF INFRARED AND MILLIMETER WAVES 30, no. 3 (March 20, 2012): 279–83. http://dx.doi.org/10.3724/sp.j.1010.2011.00279.
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Reddy, S. L. K., C. V. Rao, P. R. Kumar, R. V. G. Anjaneyulu, and B. G. Krishna. "A NOVEL METHOD FOR WATER AND WATER CANAL EXTRACTION FROM LANDSAT-8 OLI IMAGERY." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-5 (November 19, 2018): 323–28. http://dx.doi.org/10.5194/isprs-archives-xlii-5-323-2018.
Анотація:
<p><strong>Abstract.</strong> Constituents of hydrologic network, River and water canals play a key role in Agriculture for cultivation, Industrial activities and urban planning. Remote sensing images can be effectively used for water canal extraction, which significantly improves the accuracy and reduces the cost involved in mapping using conventional means. Using remote sensing data, the water Index (WI), Normalized Difference Water Index (NDWI) and Modified NDWI (MNDWI) are used in extracting the water bodies. These techniques are aimed at water body detection and need to be complemented with additional information for the extraction of complete water canal networks. The proposed index MNDWI-2 is able to find the water bodies and water canals as well from the Landsat-8 OLI imagery and is based on the SWIR2 band. In this paper, we use Level-1 precision terrain corrected OLI imagery at 30 meter spatial resolution. The proposed MNDWI-2 index is derived using SWIR2 (B7) band and Green (B3) band. The usage of SWIR2 band over SWIR1 results in very low reflectance values for water features, detection of shallow water and delineation of water features with rest of the features in the image. The computed MNDWI-2 index values are threshold by making the values greater than zero as 1 and less than zero as zero. The binarised values of 1 represent the water bodies and 0 represent the non-water body. This normalized index detects the water bodies and canals as well as vegetation which appears in the form of noise. The vegetation from the MNDWI-2 image is removed by using the NDVI index, which is calculated using the Top of Atmosphere (TOA) corrected images. The paper presents the results of water canal extraction in comparison with the major available indexes. The proposed index can be used for water and water canal extraction from L8 OLI imagery, and can be extended for other high resolution sensors.</p>
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Platnick, Steven, Kerry Meyer, Nandana Amarasinghe, Galina Wind, Paul A. Hubanks, and Robert E. Holz. "Sensitivity of Multispectral Imager Liquid Water Cloud Microphysical Retrievals to the Index of Refraction." Remote Sensing 12, no. 24 (December 19, 2020): 4165. http://dx.doi.org/10.3390/rs12244165.
Анотація:
A cloud property retrieved from multispectral imagers having spectral channels in the shortwave infrared (SWIR) and/or midwave infrared (MWIR) is the cloud effective particle radius (CER), a radiatively relevant weighting of the cloud particle size distribution. The physical basis of the CER retrieval is the dependence of SWIR/MWIR cloud reflectance on the cloud particle single scattering albedo, which in turn depends on the complex index of refraction of bulk liquid water (or ice) in addition to the cloud particle size. There is a general consistency in the choice of the liquid water index of refraction by the cloud remote sensing community, largely due to the few available independent datasets and compilations. Here we examine the sensitivity of CER retrievals to the available laboratory index of refraction datasets in the SWIR and MWIR using the retrieval software package that produces NASA’s standard Moderate Resolution Imaging Spectroradiometer (MODIS)/Visible Infrared Imaging Radiometer suite (VIIRS) continuity cloud products. The sensitivity study incorporates two laboratory index of refraction datasets that include measurements at supercooled water temperatures, one in the SWIR and one in the MWIR. Neither has been broadly utilized in the cloud remote sensing community. It is shown that these two new datasets can significantly change CER retrievals (e.g., 1–2 µm) relative to common datasets used by the community. Further, index of refraction data for a 265 K water temperature gives more consistent retrievals between the two spectrally distinct 2.2 µm atmospheric window channels on MODIS and VIIRS. As a result, 265 K values from the SWIR and MWIR index of refraction datasets were adopted for use in the production version of the continuity cloud product. The results indicate the need to better understand temperature-dependent bulk water absorption and uncertainties in these spectral regions.
Дисертації з теми "Imagerie SWIR":
1
Le, Goff Florian. "Intégration de matériaux semi-conducteurs III-V dans des filières de fabrication silicium avancées pour imagerie proche infrarouge." Thesis, Strasbourg, 2017. http://www.theses.fr/2017STRAD034/document.
Анотація:
Les imageurs à base d’alliage InGaAs sur substrat InP se sont fortement popularisés pour l’imagerie dans le proche infrarouge. La méthode de fabrication de référence est constituée d’une matrice de photodiodes planaires réticulées par diffusion localisée de zinc. Cette approche reste chère du fait d’une méthode d’hybridation individuelle entre circuit de lecture CMOS et circuit de détection. Afin de réaliser des imageurs proche infrarouge bas coût ou de grand format, cette méthode d’hybridation doit donc être revisitée. La solution présentée durant cette thèse est de transférer les structures III-V absorbantes directement sur le circuit de lecture par un collage moléculaire direct suivi d’une fabrication collective des matrices de photodiodes. Cette méthode demande le développement d’une nouvelle architecture pour la connexion électrique au circuit de lecture et la formation de diodes. Elle consiste en la réalisation de via de connexion à partir desquels un dopage localisé est réalisé. On forme alors des diodes circulaires autour de chaque via appelées LoopHoles. Ce dopage dont la température ne doit pas dépasser 400°C est réalisé par diffusion MOVPD. Malgré des phénomènes physiques parasites il a été possible de réaliser dans l’InP et l’InGaAs des jonctions p-n adaptées. Les caractéristiques optoélectroniques de groupes de diodes LoopHoles sur substrat InP et sur matériaux reportés ont ainsi pu être mesuréesNowadays short wavelength infrared (SWIR) imaging based on InP/InGaAs photo-diodes is quite popular for uncooled camera. The state of the art technology is a double layer planar heterointerface focal plane array. But, it remains expensive. Its cost comes essentially from the individually hybridization of photo-diodes array with read-out circuit, by the mean of an indium-bumps flip-chip process. We suggest an alternative method for hybridization, in order to lowering the cost and providing a sustainable process to decrease the pixel pitch. It consists in a direct integration by bonding silica of InP/InGaAs/InP structure above a finished read-out circuit (with CMOS technology) and circular diode architecture named “LoopHoles”. This diode consists in via-hole through the III-V materials and bonding silica layer down to top metal layer in the readout circuit for each active pixel. Via-hole is also used to diffuse laterally zinc in III-V layer in order to create p-type doping area. Because of the read-out circuit, temperature of diffusion has to be below 400°C which induces parasitic phenomena’s. We have found that a Hf02 coating on InP surface prevent this degradation while allowing zinc diffusion. We were able to control depth of p-n junction inside InP and InGaAs. We also investigated few steps of the processes like the molecular bonding, via etching and metallization. Finally, we succeeded to produce LoopHole photodiodes on bulk InP and on bonded materials with a high spectral efficiency, low pitch and a lower dark currant of 150 fA at room temperature
2
Simon, Apolline A. "Décryptage des paramètres physico-chimiques critiques favorisant la diffusion efficace des nanoparticules dans des modèles tumoraux." Electronic Thesis or Diss., Bordeaux, 2024. http://www.theses.fr/2024BORD0046.
Анотація:
La bio-imagerie d’environnements biologiques, complexes et hétérogènes utilisant des nanoparticules est uniquement pertinente si leurs propriétés intrinsèques et de surface sont contrôlées pour favoriser une diffusion en profondeur. En effet, la forme (rapports de forme, nanotubes, nanosphères), les dimensions (quelques nanomètres à quelques dizaines de nanomètres), les charges de surface et les interactions de surface avec le milieu environnant sont des paramètres décisifs. Ils régulent par exemple la mobilité et le devenir des nanoparticules à l’intérieur des milieux biologiques, dont par exemple les microenvironnements tumoraux. Dans cette thèse, nous nous sommes principalement concentrés sur les nanotubes de carbone, semi-conducteurs et à mono-parois dans le but d’adapter leur diffusion dans des environnements biologiques en contrôlant leurs propriétés de surface. Ce choix a été motivé car ces nanotubes présentent des atouts majeurs pour des applications en bio-imagerie. Leur longueur d’onde d’émission se trouve dans l’infrarouge court (SWIR), ce qui correspond à la deuxième fenêtre de transparence biologique. Ils sont également photostables et il a été prouvé qu’ils présentent une pénétration importante dans le tissu de par leur morphologie 1D. Pour étudier la mobilité des nanotubes dans des environnements complexes, nous avons suivi leurs trajectoires à l’échelle de la particule unique et appliqué les approches de microscopie de fluorescence à super-résolution. Nous avons tout d’abord détecté des modifications morphologiques associées à une fibrose à un stade précoce sur des tranches de foie de souris. Pour cela nous avons employé une stratégie de microscopie corrélative pour identifier l’environnement biologique in situ (noyaux et membranes des cellules) autour des nanotubes en plus de l’étude de leurs mobilités. Ce premier projet nous a motivé à explorer une deuxième stratégie pour disperser des nanotubes en augmentant leur brillance tout en conservant leur furtivité. Nous avons étudié de quelle manière le changement du coating autour du nanotubes (taille moléculaire du PEG ou présence d’une insaturation) impactait leur brillance et leur diffusivité. Cette diffusion a été testée sur différents modèles avec une hétérogénéité croissante allant du gel d’agarose à des extraits de matrice extracellulaire. Nous avons distingué deux tailles moléculaires de PEG découlant sur des dispersions compatibles à nos études. Enfin, dans le but d’étendre la bibliothèque de nanoparticules émettant dans le SWIR pour des applications de bio-imagerie, nous avons étudié un autre type de nanoobjets luminescents : des clusters d’or et des nanoparticules polymères chargées avec des clusters. L’analyse de leur luminescence ainsi que leur potentiel pour des études de suivi de particules uniques ont été évalués. L’analyse de clusters d’or uniques a été réalisée montrant une excellente brillance, mais uniquement dans un environnement sec. Par ailleurs, nous avons prouvé que les nanoparticules polymériques étaient détectables au niveau de la particule unique lorsqu’elles diffusaient dans un environnement aqueux ce qui fait d’elles d’excellentes candidates pour des applications de bio-imagerieBioimaging of complex and heterogeneous biological environments using nanoparticles is only relevant if one controls their intrinsic and surface properties to promote their diffusion in depth. Indeed, the shape (i.e. aspect ratios, nanotubes, nanospheres), the dimension (from a few nanometers up to a few tens of nanometers), the surface charges and the surface interactions with the surrounding environment are key parameters. They regulate for instance the mobility and the future of nanoparticles inside the biological milieu, such as tumoral microenvironments. In this PhD thesis, we mainly focused on semiconducting single-walled carbon nanotubes with the aim to tailor and apply their diffusion in bio-environments by controlling their surface properties. This choice was motivated by their exceptional advantages for bio-imaging applications. Their emission wavelength is in the short-wave infrared region (SWIR), which corresponds to the second window of biological transparency. In addition, they are photostable and it has been proved that they show a high tissue penetration ability due to their nanoscale 1D morphology. To study the mobility of nanotubes in complex environments, we tracked their trajectories at the single particle level and applied super-resolution fluorescence microscopy approaches. We first detected morphological modifications associated with early-stage fibrosis on murine liver slices. To that end, we employed a correlative microscopy strategy to identify the in situ biological environment (cell membranes and nuclei) surrounding the nanotubes in addition to the study of their mobilities. This first work motivated us to explore a second strategy to suspend the nanotubes to enhance their brightness while maintaining their stealth behaviours. We investigated how changing the coating around the nanotubes (PEG molecular size or presence of an insaturation) impacted their brightness and diffusivity. Diffusion has been tested within various models with growing complexity from an agarose gel to extracts of the extracellular matrix. We distinguished two molecular sizes of PEG rising to suspensions of nanotubes suitable for our studies. Finally, with the aim of expanding the library of SWIR-emitting nanoparticles for biological imaging, we investigated another type of luminescent nanoobjects: gold nanoclusters and polymeric nanoparticles loaded with such clusters. The analysis of their luminescence as well as their potential for single particle tracking were evaluated. Single gold cluster analysis has been conducted showing excellent brightness, but only in a dried environment. In addition, the polymeric nanoparticles were shown to be detectable at the single particle level diffusing within an aqueous media constituting promising candidates for bioimaging applications
3
Perry, David Robert. "Target detection and scene classification with VNIR/SWIR spectral imagery." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2000. http://handle.dtic.mil/100.2/ADA384999.
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Blondiaux, Eléonore. "Détection cellulaire en imagerie cardiaque par résonance magnétique." Thesis, Paris 11, 2014. http://www.theses.fr/2014PA112054.
Анотація:
Objectifs : Les thérapies régénératives cardiaques ont connu un essor considérable au cours des 10 dernières années. Malgré des effets positifs démontrés chez l’animal, les bénéfices cliniques obtenus chez l’homme sont encore relativement modestes. L’objectif de ce travail a été de mieux comprendre les facteurs liés à l’implantation des cellules souches grâce aux techniques de détection cellulaire en imagerie par résonance magnétique (IRM), afin d’optimiser la thérapie cellulaire cardiaque.Matériel et méthodes : Un protocole de détection cellulaire en IRM cardiaque in vivo ainsi qu’une méthode de détection des microvaisseaux en IRM cardiaque ex vivo haute résolution avec des séquences Susceptibility Weighted Imaging (SWI) ont été développés, puis mis en application pour l’étude de la vectorisation de progéniteurs des cellules endothéliales marqués magnétiquement par des nanoparticules d’oxyde de Fer et injectés par voie intraveineuse, ainsi que pour l’évaluation de l’intégration et de l’efficacité de cellules souches mésenchymateuses administrées via des patchs de fibrine cellularisés chez des rats adultes indemnes de toute pathologie (un groupe contrôle vs un groupe infarctus via ligature définitive de l’artère interventriculaire antérieure).Résultats : Après injection intraveineuse et malgré la vectorisation magnétique (n=16 rats), l’imagerie de détection cellulaire a montré qu’aucune cellule n’était implantée dans le myocarde et que les paramètres fonctionnels cardiaques n’étaient pas améliorés. Avec les patchs cellularisés (n=37 rats), la fraction d’éjection ventriculaire gauche (FEVG) était améliorée dans les groupes de patchs cellularisés par rapport aux groupes contrôles. La densité microvasculaire était augmentée dans la zone infarcie et peri-infarcie dans les groupes cellularisés par rapport aux groupes contrôles, à la fois en immunohistochimie et en IRM sur les séquences SWI. L’IRM a montré l’absence de migration des cellules dans le myocarde à partir du patch, confirmé en immunohistochimie. La persistance de cellules dans la zone d’implantation du patch à la surface épicardique à J21 post greffe et l’étude en cytométrie en flux des cytokines et facteurs de croissance produits par les cellules souches plaident pour une efficacité de la thérapie cellulaire en rapport avec la sécrétion de facteurs paracrines par les cellules souches.Conclusion : L’imagerie de susceptibilité magnétique permet d’une part d’étudier les vaisseaux myocardiques sur des séquences pondérées en SWI ex vivo et d’autre part d’évaluer l’implantation des cellules souches sur des séquences en écho de gradient T2* in vivo. Ces techniques ont permis de mieux caractériser le mode d’action des patchs cardiaques en tant que réservoir de facteurs paracrines pour le traitement de l’insuffisance cardiaque dans un modèle murin. Ces résultats confirment l’intérêt fort à développer et optimiser l’utilisation de biomatériaux intelligents délivrant spécifiquement des molécules d’intérêt comme les cytokines ou les facteurs de croissance et permettant ainsi de contourner les contraintes immunogènes et tératogènes liés aux cellules souchesObjectives: Cardiac regenerative therapies have grown considerably over the past 10 years. Despite positive effects demonstrated in animals, the clinical benefits obtained in humans are still relatively modest. The objective of this work was to better understand the factors associated with implantation of stem cells through the cell detection techniques in magnetic resonance imaging (MRI) and to improve cardiac stem cell therapy in a murine model of myocardial infarction.Materials and methods: A protocol for cell detection with gradient echo T2* sequences in cardiac MRI in vivo and a method for detection of microvessels in cardiac MRI ex vivo with high resolution Susceptibility Weighted Imaging sequences (SWI) were developed and implemented for the study of vectorization of intravenously injected endothelial progenitors cells (EPC) and the integration and evaluation of the impact of mesenchymal stem cells (MSC) administered via cellularized fibrin patches. A permanent ligation of the left anterior coronary artery was performed in adult rats. The stem cells were magnetically labeled with iron oxide nanoparticles by endocytosis.Results: Cell detection imaging showed no cell implantation in the myocardium and no improvement in cardiac functional parameters after intravenous injection of EPC, despite the aid of magnetic vectorization (n = 16 rats). With a local administration of MSC via cardiac patches (n = 37 rats), the left ventricular ejection fraction (LVEF) was improved in cellularized patches groups compared to controls. Microvascular density was increased in the infarcted and peri – infarcted areas in cellularized patches groups compared to controls in immunohistochemistry and in MRI on SWI sequences. The MRI showed no migration of cells into the myocardium from the patch, as confirmed by immunohistochemistry and Perls staining. The persistence of MSCs on the epicardial surface at D21 after implantation and flow cytometry profiling of cytokines and growth factors produced by MSC argue for cell therapy effectiveness related to the secretion of paracrine factors by stem cells.Conclusion: Susceptibility imaging allows: (1) to study myocardial vessels on SWI sequences ex vivo and (2) to assess the implementation of stem cells on gradient echo sequences T2 * in vivo. These techniques have shown that cardiac patches act as a reservoir of soluble mediators which paracrinally target the angiogenesis in the treatment of heart failure in a murine model. This is in favor of a move towards “cell free” biomaterials containing only molecules of interest such as cytokines or growth factors to circumvent immunogenic and teratogenic constraints related to the use of stem cells
Книги з теми "Imagerie SWIR":
1
Perry, David Robert. Target detection and scene classification with VNIR/SWIR spectral imagery. Monterey, Calif: Naval Postgraduate School, 2000.
2
Target Detection and Scene Classification with VNIR/SWIR Spectral Imagery. Storming Media, 2000.
3
Baird, Bruce. A History of Butô. Oxford University Press, 2022. http://dx.doi.org/10.1093/oso/9780197630273.001.0001.
Анотація:
A History of Butô: Dancing in a Swirl of Imagery is a rip-roaring account of one of the most important and influential performance arts of the latter half of the 20th century. Tracing the performances and techniques of ten of the most important names in the first and second generation of butô, A History of Butô puts on display the mind-blowing creativity of the founders as well as the variety of directions taken by subsequent dancers. In addition, A History of Butô places these choreographer/dancers at the center of some of the most important issues of our time, such as the relationship between humans, technology and new media, and the status of gender and ethnicity.
Частини книг з теми "Imagerie SWIR":
1
Anyamba, Assaf, and Compton J. Tucker. "Monitoring Drought Using Coarse Resolution Polar-Orbiting Satellite Data." In Monitoring and Predicting Agricultural Drought. Oxford University Press, 2005. http://dx.doi.org/10.1093/oso/9780195162349.003.0012.
Анотація:
There are two distinct categories of remotely sensed data: satellite data and aerial data or photographs. Unlike aerial photographs, satellite data have been routinely available for most of the earth’s land areas for more than two decades and therefore are preferred for reliably monitoring global vegetation conditions. Satellite data are the result of reflectance, emission, and/or back scattering of electromagnetic energy from earth objects (e.g., vegetation, soil, and water). The electromagnetic spectrum is very broad, and only a limited range of wavelengths is suitable for earth resource monitoring and applications. The gaseous composition (O2, O3, CO2, H2O, etc.) of the atmosphere, along with particulates and aerosols, cause significant absorption and scattering of electromagnetic energy over some regions of the spectrum. This restricts remote sensing of the earth’s surface to certain “atmospheric windows,” or regions in which electromagnetic energy can pass through the atmosphere with minimal interference. Some such windows include visible, infrared, shortwave, thermal, and microwave ranges of the spectrum. The shortwave-infrared (SWIR) wavelengths are sensitive to moisture content of vegetation, whereas the thermal-infrared region is useful for monitoring and detecting plant canopy stress and for modeling latent and sensible heat fluxes. Thermal remote sensing imagery is acquired both during the day and night, and it measures the emitted energy from the surface, which is related to surface temperatures and the emissivity of surface materials. This chapter focuses on the contribution of visible and infrared wavelengths to global drought monitoring, and chapter 6 discusses visible, infrared, and thermal wave contributions. Under microwave windows, the satellite data can be divided into two categories: active microwave and passive microwave. Chapters 7 and 8 describe applications of passive and active microwave remote sensing to drought monitoring, respectively. Early use of satellite data was pioneered by the Landsat series originally known as the Earth Resource Technology Satellite (ERTS; http://landsat7. usgs.gov/index.php). Landsat was the first satellite specifically designed for broad-scale observation of the earth’s land surface.
Тези доповідей конференцій з теми "Imagerie SWIR":
1
Nieke, Jens, Ichio Asanuma, K. Tanaka, and Yoshio Tange. "Global imager's onboard calibration (VNIR-SWIR)." In International Symposium on Optical Science and Technology, edited by William L. Barnes. SPIE, 2002. http://dx.doi.org/10.1117/12.453458.
2
Warren, Christopher P., William Pfister, Detlev Even, Arleen Velasco, Selwyn Yee, David Breitwieser, and Joseph Naungayan. "Miniaturization of a SWIR hyperspectral imager." In SPIE Defense, Security, and Sensing, edited by Daniel J. Henry, Beato T. Cheng, Dale C. Linne von Berg, and Darrell L. Young. SPIE, 2011. http://dx.doi.org/10.1117/12.883325.
3
MacDougal, Michael H., Tim Strand, Jon Geske, Andrew D. Hood, and Chris Mak. "Small pixel SWIR imagers at Attollo Engineering." In Infrared Technology and Applications XLIX, edited by David Z. Ting, Gabor F. Fulop, and Lucy L. Zheng. SPIE, 2023. http://dx.doi.org/10.1117/12.2663883.
4
Ortiz, Anthony, and Dalton S. Rosario. "Spectral-elevation data registration using visible-SWIR spatial correspondence." In Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XXIV, edited by David W. Messinger and Miguel Velez-Reyes. SPIE, 2018. http://dx.doi.org/10.1117/12.2303923.
5
Leffel, Seth C., Thirimachos Bourlai, and Jeremy M. Dawson. "Autofocus for SWIR facial imagery utilizing Haar wavelets." In 2017 IEEE International Symposium on Technologies for Homeland Security (HST). IEEE, 2017. http://dx.doi.org/10.1109/ths.2017.7943491.
6
Gupta, Neelam. "Performance characterization of VNIR and SWIR spectropolarimetric imagers." In SPIE Sensing Technology + Applications, edited by Mark A. Druy, Richard A. Crocombe, and David P. Bannon. SPIE, 2015. http://dx.doi.org/10.1117/12.2177099.
7
MacDougal, Michael H., Chris Mak, Jet Meitzner, Tim Strand, Andrew D. Hood, Jon C. Geske, Alexander Bessonov, Ivonne Medina-Salazar, and Marat Lutfullin. "Small pixel SWIR imagers using InGaAs and CQDs." In Infrared Technology and Applications L, edited by David Z. Ting, Gabor F. Fulop, Masafumi Kimata, and Michael H. MacDougal. SPIE, 2024. http://dx.doi.org/10.1117/12.3014241.
8
Dupuis, Julia R., S. Chase Buchanan, Stephanie Craig, J. D. Rameau, and David J. Mansur. "High speed VNIR/SWIR HSI sensor for vegetation trait mapping." In Algorithms, Technologies, and Applications for Multispectral and Hyperspectral Imagery XXV, edited by David W. Messinger and Miguel Velez-Reyes. SPIE, 2019. http://dx.doi.org/10.1117/12.2518114.
9
Bernstein, L. S., S. M. Adler-Golden, R. L. Sundberg, and A. J. Ratkowski. "In-scene-based atmospheric correction of uncalibrated VISible-SWIR (VIS-SWIR) hyper- and multi-spectral imagery." In SPIE Remote Sensing, edited by Richard H. Picard, Adolfo Comeron, Klaus Schäfer, Aldo Amodeo, and Michiel van Weele. SPIE, 2008. http://dx.doi.org/10.1117/12.808193.
10
Kerekes, John P., and Su May Hsu. "Spectral quality metrics for VNIR and SWIR hyperspectral imagery." In Defense and Security, edited by Sylvia S. Shen and Paul E. Lewis. SPIE, 2004. http://dx.doi.org/10.1117/12.542192.
Звіти організацій з теми "Imagerie SWIR":
1
Birch, Gabriel Carlisle, and Bryana Lynn Woo. Counter Unmanned Aerial Systems Testing: Evaluation of VIS SWIR MWIR and LWIR passive imagers. Office of Scientific and Technical Information (OSTI), January 2017. http://dx.doi.org/10.2172/1342469.
2
Olivier, Jason, and Sally Shoop. Imagery classification for autonomous ground vehicle mobility in cold weather environments. Engineer Research and Development Center (U.S.), November 2021. http://dx.doi.org/10.21079/11681/42425.
Анотація:
Autonomous ground vehicle (AGV) research for military applications is important for developing ways to remove soldiers from harm’s way. Current AGV research tends toward operations in warm climates and this leaves the vehicle at risk of failing in cold climates. To ensure AGVs can fulfill a military vehicle’s role of being able to operate on- or off-road in all conditions, consideration needs to be given to terrain of all types to inform the on-board machine learning algorithms. This research aims to correlate real-time vehicle performance data with snow and ice surfaces derived from multispectral imagery with the goal of aiding in the development of a truly all-terrain AGV. Using the image data that correlated most closely to vehicle performance the images were classified into terrain units of most interest to mobility. The best image classification results were obtained when using Short Wave InfraRed (SWIR) band values and a supervised classification scheme, resulting in over 95% accuracy.