Relevant bibliographies by topics / Satellite stereoscopic imagery

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  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Academic literature on the topic 'Satellite stereoscopic imagery'

Author: Grafiati
Published: 25 May 2024

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Journal articles on the topic "Satellite stereoscopic imagery"

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Kim, Minseok, Jhoon Kim, Hyunkwang Lim, Seoyoung Lee, Yeseul Cho, Huidong Yeo, and Sang-Woo Kim. "Exploring geometrical stereoscopic aerosol top height retrieval from geostationary satellite imagery in East Asia." Atmospheric Measurement Techniques 16, no. 10 (May 31, 2023): 2673–90. http://dx.doi.org/10.5194/amt-16-2673-2023.

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Abstract. Despite the importance of aerosol height information for events such as volcanic eruptions and long-range aerosol transport, spatial coverage of its retrieval is often limited because of a lack of appropriate instruments and algorithms. Geostationary satellite observations in particular provide constant monitoring for such events. This study assessed the application of different viewing geometries for a pair of geostationary imagers to retrieve aerosol top height (ATH) information. The stereoscopic algorithm converts a lofted aerosol layer parallax, calculated using image-matching of two visible images, to ATH. The sensitivity study provides a reliable result using a pair of Advanced Himawari Imager (AHI) and Advanced Geostationary Radiation Imager (AGRI) images at 40∘ longitudinal separation. The pair resolved aerosol layers above 1 km altitude over East Asia. In contrast, aerosol layers must be above 3 km for a pair of AHI and Advanced Meteorological Imager (AMI) images at 12.5∘ longitudinal separation to resolve their parallax. Case studies indicate that the stereoscopic ATH retrieval results are consistent with aerosol heights determined using extinction profiles from the Cloud–Aerosol Lidar with Orthogonal Polarization (CALIOP). Comparisons between the stereoscopic ATH and the CALIOP 90 % extinction height, defined by extinction coefficient at 532 nm data, indicated that 88.9 % of ATH estimates from the AHI and AGRI are within 2 km of CALIOP 90 % extinction heights, with a root-mean-squared difference (RMSD) of 1.66 km. Meanwhile, 24.4 % of ATH information from the AHI and AMI was within 2 km of the CALIOP 90 % extinction height, with an RMSD of 4.98 km. The ability of the stereoscopic algorithm to monitor hourly aerosol height variations is demonstrated by comparison with a Korea Aerosol Lidar Observation Network dataset.
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Neto, F. A. "FIRST RESULTS ON ORIENTING SIMULATED ALONG-TRACK SATELLITE STEREOSCOPIC IMAGERY." Photogrammetric Record 14, no. 81 (April 1993): 439–46. http://dx.doi.org/10.1111/j.1477-9730.1993.tb00273.x.

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Kornus, W., A. Magariños, M. Pla, E. Soler, and F. Perez. "PHOTOGRAMMETRIC PROCESSING USING ZY-3 SATELLITE IMAGERY." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-3/W2 (March 10, 2015): 109–13. http://dx.doi.org/10.5194/isprsarchives-xl-3-w2-109-2015.

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This paper evaluates the stereoscopic capacities of the Chinese sensor ZiYuan-3 (ZY-3) for the generation of photogrammetric products. The satellite was launched on January 9, 2012 and carries three high-resolution panchromatic cameras viewing in forward (22º), nadir (0º) and backward direction (-22º) and an infrared multi-spectral scanner (IRMSS), which is slightly looking forward (6º). The ground sampling distance (GSD) is 2.1m for the nadir image, 3.5m for the two oblique stereo images and 5.8m for the multispectral image. The evaluated ZY-3 imagery consists of a full set of threefold-stereo and a multi-spectral image covering an area of ca. 50km x 50km north-west of Barcelona, Spain. The complete photogrammetric processing chain was executed including image orientation, the generation of a digital surface model (DSM), radiometric image correction, pansharpening, orthoimage generation and digital stereo plotting. <br><br> All 4 images are oriented by estimating affine transformation parameters between observed and nominal RPC (rational polynomial coefficients) image positions of 17 ground control points (GCP) and a subsequent calculation of refined RPC. From 10 independent check points RMS errors of 2.2m, 2.0m and 2.7m in X, Y and H are obtained. Subsequently, a DSM of 5m grid spacing is generated fully automatically. A comparison with the Lidar data results in an overall DSM accuracy of approximately 3m. In moderate and flat terrain higher accuracies in the order of 2.5m and better are achieved. In a next step orthoimages from the high resolution nadir image and the multispectral image are generated using the refined RPC geometry and the DSM. After radiometric corrections a fused high resolution colour orthoimage with 2.1m pixel size is created using an adaptive HSL method. The pansharpen process is performed after the individual geocorrection due to the different viewing angles between the two images. In a detailed analysis of the colour orthoimage artifacts are detected covering an area of 4691ha, corresponding to less than 2% of the imaged area. Most of the artifacts are caused by clouds (4614ha). A minor part (77ha) is affected by colour patch, stripping or blooming effects. <br><br> For the final qualitative analysis on the usability of the ZY-3 imagery for stereo plotting purposes stereo combinations of the nadir and an oblique image are discarded, mainly due to the different pixel size, which produces difficulties in the stereoscopic vision and poor accuracy in positioning and measuring. With the two oblique images a level of detail equivalent to 1:25.000 scale is achieved for transport network, hydrography, vegetation and elements to model the terrain as break lines. For settlement, including buildings and other constructions a lower level of detail is achieved equivalent to 1:50.000 scale.
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Lodwick, G. D., and S. H. Paine. "SATELLITE REMOTE SENSING IN SURVEYING PRESENT OPPORTUNITIES, FUTURE POSSIBILITIES." Canadian Surveyor 40, no. 3 (September 1986): 315–26. http://dx.doi.org/10.1139/tcs-1986-0025.

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Of all the areas of the earth sciences affected by satellite remote sensing, the surveying profession has been one of the last to take advantage of its unique features. This is due in part to: resolution limitations of Landsat 1, 2 and 3, difficulties in registration and positioning of the imagery, technical constraints in handling vast quantities of digital data, and the excellent methods currently available for the production of cartographic products. Nevertheless, satellite remote sensing has now emerged as a complementary procedure to many existing techniques utilized in surveying and mapping. Already, Landsat is being used for topographic mapping, hydrographic surveying and resource mapping purposes. However, with the improved resolution of Landsat 4, the potential of stereoscopic coverage with the SPOT satellites and present developments in computer processing and data manipulation, satellite remote sensing in the next decade will emerge as an indispensable tool for mapping and cartography.
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Almeida, Luís, Rafael Almar, Erwin Bergsma, Etienne Berthier, Paulo Baptista, Erwan Garel, Olusegun Dada, and Bruna Alves. "Deriving High Spatial-Resolution Coastal Topography From Sub-meter Satellite Stereo Imagery." Remote Sensing 11, no. 5 (March 12, 2019): 590. http://dx.doi.org/10.3390/rs11050590.

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High spatial resolution coastal Digital Elevation Models (DEMs) are crucial to assess coastal vulnerability and hazards such as beach erosion, sedimentation, or inundation due to storm surges and sea level rise. This paper explores the possibility to use high spatial-resolution Pleiades (pixel size = 0.7 m) stereoscopic satellite imagery to retrieve a DEM on sandy coastline. A 40-km coastal stretch in the Southwest of France was selected as a pilot-site to compare topographic measurements obtained from Pleiades satellite imagery, Real Time Kinematic GPS (RTK-GPS) and airborne Light Detection and Ranging System (LiDAR). The derived 2-m Pleiades DEM shows an overall good agreement with concurrent methods (RTK-GPS and LiDAR; correlation coefficient of 0.9), with a vertical Root Mean Squared Error (RMS error) that ranges from 0.35 to 0.48 m, after absolute coregistration to the LiDAR dataset. The largest errors (RMS error > 0.5 m) occurred in the steep dune faces, particularly at shadowed areas. This work shows that DEMs derived from sub-meter satellite imagery capture local morphological features (e.g., berm or dune shape) on a sandy beach, over a large spatial domain.
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Rayne, Louise, and Daniel Donoghue. "A Remote Sensing Approach for Mapping the Development of Ancient Water Management in the Near East." Remote Sensing 10, no. 12 (December 14, 2018): 2042. http://dx.doi.org/10.3390/rs10122042.

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We present a novel approach that uses remote sensing to record and reconstruct traces of ancient water management throughout the whole region of Northern Mesopotamia, an area where modern agriculture and warfare has had a severe impact on the survival of archaeological remains and their visibility in modern satellite imagery. However, analysis and interpretation of declassified stereoscopic spy satellite data from the 1960s and early 1970s revealed traces of ancient water management systems. We processed satellite imagery to facilitate image interpretation and used photogrammetry to reconstruct hydraulic pathways. Our results represent the first comprehensive map of water management features across the entirety of Northern Mesopotamia for the period ca. 1200 BC to AD 1500. In particular, this shows that irrigation was widespread throughout the region in the Early Islamic period, including within the zone traditionally regarded as “rain-fed”. However, we found that a high proportion of the ancient canal systems had been damaged or destroyed by 20th century changes to agricultural practices and land use. Given this, there is an urgent need to record these rapidly vanishing water management systems that were an integral part of the ancient agricultural landscape and that underpinned powerful states.
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Tack, Frederik, Rudi Goossens, and Gurcan Buyuksalih. "Assessment of a Photogrammetric Approach for Urban DSM Extraction from Tri-Stereoscopic Satellite Imagery." Photogrammetric Record 27, no. 139 (September 2012): 293–310. http://dx.doi.org/10.1111/j.1477-9730.2012.00691.x.

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Mueller, Kevin J., Dong L. Wu, Ákos Horváth, Veljko M. Jovanovic, Jan-Peter Muller, Larry Di Girolamo, Michael J. Garay, David J. Diner, Catherine M. Moroney, and Steve Wanzong. "Assessment of MISR Cloud Motion Vectors (CMVs) Relative to GOES and MODIS Atmospheric Motion Vectors (AMVs)." Journal of Applied Meteorology and Climatology 56, no. 3 (March 2017): 555–72. http://dx.doi.org/10.1175/jamc-d-16-0112.1.

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AbstractCloud motion vector (CMV) winds retrieved from the Multiangle Imaging SpectroRadiometer (MISR) instrument on the polar-orbiting Terra satellite from 2003 to 2008 are compared with collocated atmospheric motion vectors (AMVs) retrieved from Geostationary Operational Environmental Satellite (GOES) imagery over the tropics and midlatitudes and from Moderate Resolution Imaging Spectroradiometer (MODIS) imagery near the poles. MISR imagery from multiple view angles is exploited to jointly retrieve stereoscopic cloud heights and motions, showing advantages over the AMV heights assigned by radiometric means, particularly at low heights (<3 km) that account for over 95% of MISR CMV sampling. MISR–GOES wind differences exhibit a standard deviation ranging with increasing height from 3.3 to 4.5 m s−1 for a high-quality [quality indicator (QI) ≥ 80] subset where height differences are <1.5 km. Much of the observed difference can be attributed to the less accurately retrieved component of CMV motion along the direction of satellite motion. MISR CMV retrieval is subject to correlation between error in retrieval of this along-track component and of height. This manifests as along-track bias varying with height to magnitudes as large as 2.5 m s−1. The cross-track component of MISR CMVs shows small (<0.5 m s−1) bias and standard deviation of differences (1.7 m s−1) relative to GOES AMVs. Larger differences relative to MODIS are attributed to the tracking of cloud features at heights lower than MODIS in multilayer cloud scenes.
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Giles, Philip T., Michael A. Chapman, and Steven E. Franklin. "Incorporation of a digital elevation model derived from stereoscopic satellite imagery in automated terrain analysis." Computers & Geosciences 20, no. 4 (May 1994): 441–60. http://dx.doi.org/10.1016/0098-3004(94)90078-7.

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Dowdeswell, J. A., M. R. Gorman, Yu Ya Macheret, M. Yu Moskalevsky, and J. O. Hagen. "Digital comparison of high resolution Sojuzkarta KFA-1000 imagery of ice masses with Landsat and SPOT data." Annals of Glaciology 17 (1993): 105–12. http://dx.doi.org/10.3189/s0260305500012684.

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Russian satellite imagery of the polar regions has recently become available to western scientists through Sojuzkarta. The KFA-1000 photographic camera is of particular interest to glaciologists due to its high resolution (a nominal 5 m). Digitized photographic products from this instrument are compared with digital data from Landsat and SPOT series satellites for a partly glacierized area of northwest Spitsbergen. Comparison of KFA-1000 data with detailed maps of man-made structures at the settlement of Ny Ålesund demonstrates that the resolution of the photographic imagery is about 3 m, but scanner resolution limited our digital data to about 6 m. Significantly less detail can be resolved on Landsat TM imagery and Landsat MSS data fail to resolve any of the structures. KFA-1000 data are compared with Landsat TM and MSS images and SPOT HRV multispectral imagery for several tidewater glaciers in Spitsbergen. KFA-1000 imagery is of a significantly higher geometric resolution than the other sensors, allowing the clear identification of individual crevasses and other ice surface features. KFA-1000 scenes from 1985 and 1988 are used to measure ice marginal fluctuations for several northwest Spitsbergen glaciers, and the onset of a surge can also be identified. This imagery has a 60% overlap between scenes and the heighting accuracy of the stereoscopic data is calculated at 45 m. Radiometric analysis of KFA-1000 data is restricted to relative brightness values, since no absolute calibration is available. The photographic products appear speckled, and the range and standard deviation of normalized pixel brightness values over snow is greater than for equivalent Landsat TM data. The very high spatial resolution of the KFA-1000 camera is its principal attraction for glaciologists.
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Dissertations / Theses on the topic "Satellite stereoscopic imagery"

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Guérin, Cyrielle. "Génération de modèles numériques de surface et détection de changements 3D à partir d'imagerie satellite stéréoscopique très haute résolution." Electronic Thesis or Diss., Paris 5, 2014. http://www.theses.fr/2014PA05S003.

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L'imagerie satellite permet aujourd'hui l'acquisition d'un nombre croissant de données dont l'augmentation des résolutions spatiale et temporelle permet de caractériser de plus en plus finement une scène et son évolution. Dans ce contexte, les méthodes de détection des changements apparus entre deux scènes sont particulièrement étudiées. Elles sont généralement basées sur les différences radiométriques entre les images. Cependant, ces méthodes s'avèrent souvent peu robustes à des changements radiométriques non pertinents tels que ceux induits par la variation des conditions d'acquisition des images. L'objectif de cette thèse est ainsi de développer une méthode alternative, basée sur la recherche des changements d'élévation de la scène. L'élévation représente en effet une information pertinente et adaptée, notamment dans un contexte de détection des changements de type urbain (construction, destruction ou modification d'infrastructures). Pour répondre à des besoins en analyse d'image qui nécessitent des résultats rapides et fiables, la méthode que nous proposons est une chaîne de traitements complète et automatique basée sur l'exploitation de couples d'image satellites stéréoscopiques très haute résolution permettant la génération et la comparaison de Modèles Numériques de Surface (MNS). Afin de limiter les fausses alarmes de changements dues aux erreurs liées à la génération des MNS, une étape clé de cette thèse a consisté à augmenter la précision des MNS, notamment à travers la prise en compte des zones d'occlusions et de mauvaise corrélation. La méthode de génération des MNS à ainsi été améliorée et une technique innovante de fusion des deux MNS provenant du même couple d'images a été développée. La comparaison des MNS générés avec un MNS LiDAR montre que notre approche permet une nette augmentation de la qualité des MNS, les erreurs de corrélation sont réduites tandis que les zones d'occlusion sont précisément localisées.La méthode de détection des changements d'élévation est, quant à elle, basée sur une labellisation par optimisation des pixels du MNS différentiel calculé à partir des MNS produits à chaque date. Cette étape permet de mettre en évidence les vrais changements de la scène parmi le bruit résiduel des MNS. Les résultats obtenus sur différents sites testés montrent que plus de 80% des changements de taille supérieure à 15 pixels x 15 pixels (ou 100 m² avec des images très haute résolution) sont détectés par notre méthode, avec moins de 20% d'erreurs. Nous montrons cependant que ces résultats dépendent principalement du paramètre de régularisation de la détection des changements, qui contrôle le taux de fausses alarmes par rapport au taux de bonnes détections du résultat
The growing amount of satellite data, increasingly resolved spatially and temporally, represents a high potential of information allowing the accurate characterization of the evolution of an area of interest. For this reason, automatic analysis techniques such as change detection methods are widely investigated. Most of them are based on radiometric changes between remote sensed optical images. These methods are however very sensitive to a significant number of irrelevant changes such as those due to the variation of the geometrical conditions between two different acquisitionsThe objective of this work is then to develop an alternative method based on the elevation change detection. The advantage of using the elevation is that this information is particularly relevant and well adapted in a context of urban monitoring where the elements of interest correspond to buildings that can be constructed, modified or destroyed between two dates.In order to satisfy new needs in image analysis which require quick and reliable results, our method is a complete and automatic processing flow based on the analysis of high resolution satellite stereoscopic couples and the generation of Digital Surface Models (DSM). Stereoscopic DSMs, however, generally suffer from a high number of correlation errors leading to false alarms in the final change detection map. One of the main contribution of this work consisted in increasing the DSM accuracy, especially through a better handling of the occlusion and miss-correlation areas. For this purpose, the image matching technique has been improved and all DSMs computed from the same stereoscopic couple are then fusioned through a new approach, based on an optimization method.The comparison between our DSM with a LiDAR-based DSM indicates that our method largely improves the DSM quality, the amount of correlation errors is decreased while the occlusion areas are accurately localized. The change detection method itself is based on the labelization of the pixels of the differential DSM computed from the DSMs generated at each date of interest. This step, performed through another optimization process, enables to bring forward the relevant changes among the residual noise of the DSMs. The results, obtained for several experimental areas, show that more than 80% of the changes larger than 15 pixels x 15 pixels (100 m² with high resolution images) are detected with our method, with less than 20% of false alarms. We also show that these results mainly depend on the regularization parameter which controls the balance between the amount of false alarms towards the amount of true detections in the final results
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Shin, Dong Seok. "Applications of machine vision to cloud studies using stereoscopic satellite images." Thesis, University College London (University of London), 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.309448.

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Bughin, Eric. "Towards automated, precise and validated vectorisation of disparity maps in urban satellites stereoscopy." Phd thesis, École normale supérieure de Cachan - ENS Cachan, 2011. http://tel.archives-ouvertes.fr/tel-00653875.

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Cette thèse se porte sur la segmentation affine par régions des cartes de profondeurs obtenues par stéréoscopie en milieu urbain.Cette détection est constituée de 3 étapes.Tout d'abord, un modèle statistique a contrario est introduit afin de déterminer de manière automatique la valeur de certains paramètres courants dans ce genre de problèmes: seuil de validation d'un groupe comme plan, seuil de rejet des points aberrants. Ce modèle permet de plus la comparaison de plusieurs solutions.Dans un second temps, un algorithme glouton est proposé pour obtenir la segmentation plane par morceaux y compris dans des conditions parcimonieuses. Cet algorithme est basé uniquement sur l'information 3D fournie par la carte de profondeur.Enfin, une dernière étape est proposée afin d'affiner le résultat de la segmentation notamment dans les zones où les disparités sont inconnues ou éventuellement fausses. Cette dernière étape est basée sur la combinaison des informations 3D et images de la paire stéréo.
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Tavernier, Thomas. "Une quête de l'émission du pulsar de Vela aux hautes et très hautes énergies : observation, détection et étude, du GeV et TeV (GeV) avec le satellite Fermi et les télescopes à imagerie Tcherenkov H.E.S.S." Sorbonne Paris Cité, 2015. http://www.theses.fr/2015USPCC257.

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La thèse présentée dans ce manuscrit est consacrée à l'étude des pulsars brillants en rayons 'y, aux énergies allant de 100 MeV à quelques TeV. Elle repose sur les données de l'instrument LAT à bord du stallite Fermi, et sur celles obtenues avec le système de télescopes Tchernekov au sol H. E. S. S. Installé en Namibie. La mesure spectrale résolue en phase des pulsars avec l'instrument Fermi-LAT, et en particulier celui de Vela (PSR B0835-45) a constitué la première étape de ce travail. La mise au point d'une méthode d'analyse dédiée au cinquième et le plus grand télescope de H. E. S. S. A permis ensuite de détecter l'émission pulséé de PSR B0835-45 depuis le sol, dès 10 GeV, puis d'en mesurer le spectre. Le très bon accord avec celui obtenu avec le LAT a démontré la validité du modèle numérique du télescope et de la méthodologie. Il s'agit du premier pulsar détecté par H. E. S. S. , et du seuil en énergie le plus bas atteint en astronomie Tcherenkov à ce jour. Dans une troisième étape, l'analyse des données de Vela obtenues avec l'ensemble des télescopes du réseau H. E. S. S. A permis de mettre en évidence, avec un bon niveau de confiance (4. 5 écarts standard), l'indication d'un signal pulsé au TeV en provenance de PSR B0835-44. L'évaluation spectrale montre que ce signal, si il est confirmé, représente une seconde composante. Une étude rapide et simple montre que cette composante pourrait être le résultat de la diffusion Compton-inverse des leptons du vent du pulsar, accélérés aux énergies ultra-relativistes au-delà du cylindre de lumière, sur le champ des photons X thermiques de l'étoile à neutrons. Ces résultats ouvrent les perspectives de la physique des pulsars au-delà de la dizaine de GeV et surtout au TeV avec le future observatoire CTA
The thesis presented in this manuscript is devoted to the study of bright pulsars shilling in -y-rays, at energies ranging from 100 MeV to several TeV. It is based on data from the LAT instrument aboard the Fermi satellite, as well as those obtained with the ground-based system of Cherenkov telescopes, H. E. S. S. , * installed in Namibia. The phased-resolved spectral measurements of pulsars with the Fermi-LAT, and in particular that of Vela (PSR B0835-45) constitutes the first step of this work. The development of an analysis method dedicated to the fifth and the largest H. E. S. S. Telescope has enabled us to detect the pulsed emission of PSR B0835-44 from ground, starting as low as 10 GeV on, and then to measure its spectrum. The very good agreement with the results obtained from the LAT data demonstrates the validity of the numerical model of the telescope and of the methodology. This is the first pulsar detected by H. E. S. S. , and the lowest energy threshold reached in Cherenkov astronomy as of today. In a third step, the analysis of data obtained on Vela with all H. E. S. S. Telescopes has resulted in an indication of a pulsed signal in the TeV range from PSR B0835-45, at a good level of confidence (4. 5 standard deviations). The spectral evaluation shows that this signal, if confirmed, represents a second component. A quick and simple study shows that this component could result from inverse Compton scattering of leptons in the pulsar wind, accelerated to ultra-relativistic energies beyond the light cylinder, on neutron star's thermal X-ray photons. These results open the perspectives for pulsar physics at tens of GeV and especially above TeV energies with the future CTA observatory
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Baller, Matthew Lee. "Comparison of Urban Tree Canopy Classification With High Resolution Satellite Imagery and Three Dimensional Data Derived From LIDAR and Stereoscopic Sensors." Thesis, 2008. http://hdl.handle.net/1805/1668.

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Indiana University-Purdue University Indianapolis (IUPUI)
Despite growing recognition as a significant natural resource, methods for accurately estimating urban tree canopy cover extent and change over time are not well-established. This study evaluates new methods and data sources for mapping urban tree canopy cover, assessing the potential for increased accuracy by integrating high-resolution satellite imagery and 3D imagery derived from LIDAR and stereoscopic sensors. The results of urban tree canopy classifications derived from imagery, 3D data, and vegetation index data are compared across multiple urban land use types in the City of Indianapolis, Indiana. Results indicate that incorporation of 3D data and vegetation index data with high resolution satellite imagery does not significantly improve overall classification accuracy. Overall classification accuracies range from 88.34% to 89.66%, with resulting overall Kappa statistics ranging from 75.08% to 78.03%, respectively. Statistically significant differences in accuracy occurred only when high resolution satellite imagery was not included in the classification treatment and only the vegetation index data or 3D data were evaluated. Overall classification accuracy for these treatment methods were 78.33% for both treatments, with resulting overall Kappa statistics of 51.36% and 52.59%.
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Eloff, Corné. "Satellite based synthetic aperture radar and optical spatial-temporal information as aid for operational and environmental mine monitoring." Diss., 2018. http://hdl.handle.net/10500/24795.

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A sustainable society is a society that satisfies its resource requirements without endangering the sustainability of these resources. The mineral endowment on the African continent is estimated to be the first or second largest of world reserves. Therefore, it is recognised that the African continent still heavily depends on mineral exports as a key contributor to the gross domestic product (GDP) of various countries. These mining activities, however, do introduce primary and secondary environmental degradation factors. They attract communities to these mining areas, light and heavy industrial establishments occur, giving rise to artisanal activities. This study focussed on satellite RS products as an aid to a mine’s operations and the monitoring of its environment. Effective operational mine management and control ensures a more sustainable and profitable lifecycle for mines. Satellite based RS holds the potential to observe the mine and its surrounding areas at high temporal intervals, different spectral wavelengths and spatial resolutions. The combination of SAR and optical information creates a spatial platform to observe and measure the mine’s operations and the behaviour of specific land cover and land use classes over time and contributes to a better understanding of the mining activities and their influence on the environment within a specific geographical area. This study will introduce an integrated methodology to collect, process and analyse spatial information over a specific targeted mine. This methodology utilises a medium resolution land cover base map, derived from Landsat 8, to understand the predominant land cover types of the surrounding area. Using very high resolution mono- and stereoscopic satellite imagery provides a finer scale analysis and identifies changes in features at a smaller scale. Combining these technologies with the synthetic aperture radar (SAR) applications for precise measurement of surface subsidence or upliftment becomes a spatial toolbox for mine management. This study examines a combination of satellite remote sensing products guided by a systematic workflow methodology to integrate spatial results as an aid for mining operations and environmental monitoring. Some of the results that can be highlighted is the successful land cover classification using the Landsat 8 satellite. The land cover that dominated the Kolomela mine area was the “SHRUBLAND/GRASS” class with a 94% coverage and “MINE” class of 2.6%. Sishen mine had a similar dominated land cover characteristic with a “SHRUBLAND/GRASS” class of 90% and “MINE” class of 4.8%. The Pléiades time-series classification analysis was done using three scenes each acquired at a different time interval. The Sishen and Kolomela mine showed especially changes from the bare soil class to the asphalt or mine class. The Pléiades stereoscopic analysis provided volumetric change detection over small, medium, large and recessed areas. Both the Sishen and Kolomela mines demonstrated height profile changes in each selected category. The last category of results focused on the SAR technology to measure within millimetre accuracy the subsidence and upliftment behaviour of surface areas over time. The Royal Bafokeng Platinum tailings pond area was measured using 74 TerraSAR-X scenes. The tailings wall area was confirmed as stable with natural subsidence that occurred in its surrounding area due to seasonal changes of the soil during rainy and dry periods. The Chuquicamata mine as a large open pit copper mine area was analysed using 52 TerraSAR-X scenes. The analysis demonstrated significant vertical surface movement over some of the dumping sites. It is the wish of the researcher that this dissertation and future research scholars will continue to contribute in this scientific field. These contributions can only assist the mining sector to continuously improve its mining operations as well as its monitoring of the primary as well as the secondary environmental impacts to ensure improved sustainability for the next generation.
Environmental Sciences
M. Sc. (Environmental Science)
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Book chapters on the topic "Satellite stereoscopic imagery"

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Sénégas, J., M. Schmitt, and P. Nonin. "Geostatistical Analysis of Stereoscopic Pairs of Satellite Images." In Quantitative Geology and Geostatistics, 527–28. Dordrecht: Springer Netherlands, 2001. http://dx.doi.org/10.1007/978-94-010-0810-5_57.

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Ardizzone, Francesca, Federica Fiorucci, Michele Santangelo, Mauro Cardinali, Alessandro Cesare Mondini, Mauro Rossi, Paola Reichenbach, and Fausto Guzzetti. "Very-High Resolution Stereoscopic Satellite Images for Landslide Mapping." In Landslide Science and Practice, 95–101. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-31325-7_12.

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Squillaci, Samuel, Stéphanie Roussel, and Cédric Pralet. "Parallel Scheduling of Complex Requests for a Constellation of Earth Observing Satellites." In PAIS 2022. IOS Press, 2022. http://dx.doi.org/10.3233/faia220068.

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Nowadays, the Earth observation systems involve multiple satellites, multiple ground stations, and multiple end-users that formulate various observation requests. These requests might be heterogeneous (stereoscopic observations, periodic observations, systematic observations, etc.), and one difficulty is that the search space defined by the possible ways of performing the requests given the multiple satellites and ground stations available is huge. This paper studies several combinatorial optimization techniques for solving such an operational problem, including a constraint programming approach and parallel scheduling techniques that take advantage of the problem structure. These algorithms are evaluated on realistic instances involving various request types and objective functions depending on the cloud cover conditions, that highly impact the quality of the images collected.
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Conference papers on the topic "Satellite stereoscopic imagery"

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Somov, Yevgeny, and Sergey Butyrin. "Land-survey satellite guidance and attitude control when a scanning stereoscopic imagery." In ICNPAA 2018 WORLD CONGRESS: 12th International Conference on Mathematical Problems in Engineering, Aerospace and Sciences. Author(s), 2018. http://dx.doi.org/10.1063/1.5081613.

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Guilbaud, Philippe, Tanios Matta, Tamadher Al Bashr, and Imtiaz Ali. "Combination of Terrestrial and Satellite Topography for Pipeline Engineering and Construction." In Abu Dhabi International Petroleum Exhibition & Conference. SPE, 2021. http://dx.doi.org/10.2118/207362-ms.

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Abstract A method consisting in an optimal combination of conventional topography from a terrestrial acquisition and satellite derived topography is presented. The solution recently implemented in the UAE for the engineering and the construction of a gas export pipeline allows significant cost reduction, time saving, and safety hazard reduction as fewer terrestrial operations are needed. The survey area is split into 2 sub-areas: area with infrastructures requiring a high accuracy is surveyed with terrestrial topographical acquisition methods such as GNSS receivers, the other one with desert conditions is mapped from satellite stereoscopic imagery. Stereoscopic mode refers to when the satellite sensor acquires two images of the same location taken from different angles. Using photogrammetric techniques, it produces a 3D elevation model of the area. The native satellite imagery allows a mapping of the surface features as well. Terrestrial and satellite datasets are finally merged and adjusted to provide engineering and construction contractors with a unique survey dataset. Terrestrial survey methods provide generally 5-10cm horizontal and vertical accuracies whereas satellite topography has accuracy of a few meters, so satellite topography must be controlled and adjusted from terrestrial ground control points which allow to reach an average 50cm absolute accuracy. This is good enough in desert areas with neither particular ground feature nor steep relief requiring complex design. Satellite acquisition has limitations: vegetation masking the ground, steep slopes and dense infrastructures. It is therefore necessary to combine conventional and satellite topography to meet engineering requirements. This is considered when defining the satellite and terrestrial survey areas. Beyond these limitations, this solution has strong advantages. Satellite grid resolution can be better (1-2m versus 5-10m for GNSS surveys). Acquisition and processing are faster (about 2 weeks versus a few weeks or months), and costs are from 10 to 100 times cheaper than conventional methods. No need for personnel and equipment on site, no management of logistics and permitting as well. Finally, it reduces safety hazards such as car accident, harsh weather, manual handling, etc. In addition, limiting the area to be surveyed with conventional equipment may avoid the need to mobilize Airborne photogrammetry or lidar systems usually operated by foreign companies. This limits complex Call for Tender, permitting management and give more opportunity to contract local companies. Satellite topography is widely used for preliminary studies, but the innovation here consists in an optimal combination of terrestrial and satellite datasets for engineering and construction purposes. This solution has however some limitations as it requires suitable conditions for satellite optical imagery acquisitions: no vegetation, limited cloud cover, smooth topography, and limited infrastructures. This is of interest basically in Middle east and North Africa.
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Somov, Ye I., and S. A. Butyrin. "Guidance and attitude control of a land-survey satellite at a scanning stereoscopic imagery." In 2018 25th Saint Petersburg International Conference on Integrated Navigation Systems (ICINS). IEEE, 2018. http://dx.doi.org/10.23919/icins.2018.8405934.

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Ansan, V., and Eric Thouvenot. "Semiautomatic stereoscopic radar image analysis." In Satellite Remote Sensing II, edited by Jacky Desachy. SPIE, 1995. http://dx.doi.org/10.1117/12.226830.

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Yang, Lei, Lidong Wei, Juanjuan Jing, Jinsong Zhou, Yacan Li, Xiaoying He, Xilu Fu, Lei Feng, and Li Xu. "Optical design of compact stereoscopic spectral imager." In Sensors, Systems, and Next-Generation Satellites, edited by Steven P. Neeck, Toshiyoshi Kimura, and Philippe Martimort. SPIE, 2018. http://dx.doi.org/10.1117/12.2324258.

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Djamdji, Jean-Pierre, and Albert Bijaoui. "Earth science and remote sensing disparity analysis and image registration of stereoscopic images using the wavelet transform." In Satellite Remote Sensing II, edited by Jacky Desachy. SPIE, 1995. http://dx.doi.org/10.1117/12.226833.

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Woo, Dong-Min, and Dong-Chul Park. "Stereoscopic Building Reconstruction Using High-Resolution Satellite Image Data." In 2011 IEEE/ACIS 10th International Conference on Computer and Information Science (ICIS). IEEE, 2011. http://dx.doi.org/10.1109/icis.2011.37.

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Dong-Min Woo and Dong-Chul Park. "Stereoscopic Modeling of Building Rooftop from IKONOS Satellite Image Data." In 2011 International Conference on Information Science and Applications (ICISA 2011). IEEE, 2011. http://dx.doi.org/10.1109/icisa.2011.5772342.

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Zheng, Tuanjie, Jiasheng Cheng, and Heyuan Li. "Instantaneous dynamic change detection based on three-line-array stereoscopic images of TH-1 satellite." In Remote Sensing of the Environment: 18th National Symposium on Remote Sensing of China, edited by Qingxi Tong, Jie Shan, and Boqin Zhu. SPIE, 2014. http://dx.doi.org/10.1117/12.2063732.

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