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Assessing geometric reliability of corrected images from very high resolution satellites / M. Aguilar in Photogrammetric Engineering & Remote Sensing, PERS, vol 74 n° 12 (December 2008)
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Titre : Assessing geometric reliability of corrected images from very high resolution satellites Type de document : Article/Communication Auteurs : M. Aguilar, Auteur ; F. Aguilar, Auteur ; F. Aguera, Auteur Année de publication : 2008 Article en page(s) : pp 1551 - 1560 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] fiabilité des données
[Termes IGN] image à résolution métrique
[Termes IGN] image à résolution submétrique
[Termes IGN] image Ikonos
[Termes IGN] image panchromatique
[Termes IGN] image Quickbird
[Termes IGN] méthode de Monte-Carlo
[Termes IGN] orthoimage
[Termes IGN] point d'appui
[Termes IGN] point de vérification
[Termes IGN] qualité géométrique (image)
[Termes IGN] valeur aberranteRésumé : (Auteur) Since the launch of Ikonos by Space Imaging, LLC on 24 September 1999, the very high resolution (VHR) satellite imagery has been applied to diverse fields. Every application needs a certain geometric accuracy in the corrected image; therefore, the planimetric accuracy control of VHR satellite imagery proves to be fundamental. As a rule of thumb, the Root Mean Square error (RMS) computed at independent check points (ICPs) is the global measure most widely used for accuracy assessment in VHR imagery. This paper presents an assessment, focused on two QuickBird and Ikonos panchromatic single images, of the number of ICPs required to obtain an estimation of one-dimensional accuracy (RMS1d) with a certain confidence level or reliability. Thus, two theoretical approaches have been tested to estimate reliability depending on the number of ICPs, and they have been experimentally validated using the Monte Carlo simulation method. The residual’s samples were generated for both satellite images in the best possible operational conditions: (a) using optimal sensor models, (b) with high accuracy ground points measured by Differential Global Positioning System, (c) with an adequate number of well distributed ground control points (GCPs), and (d) using GCPs and ICPs well-defined on the raw images, i.e., with a reasonably low pointing error. Under these conditions, the two theoretical models tested provided a good fit (r2 >97 percent) for the simulated data offered by Monte Carlo when outliers were withdrawn. There were no notable differences between the results obtained from the Ikonos and QuickBird scenes. Copyright ASPRS Numéro de notice : A2008-478 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.74.12.1551 En ligne : https://doi.org/10.14358/PERS.74.12.1551 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29547
in Photogrammetric Engineering & Remote Sensing, PERS > vol 74 n° 12 (December 2008) . - pp 1551 - 1560[article]DMC geometry analysis and virtual image characterisation / R. Alamus in Photogrammetric record, vol 23 n° 124 (December 2008 - February 2009)
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Titre : DMC geometry analysis and virtual image characterisation Type de document : Article/Communication Auteurs : R. Alamus, Auteur ; W. Kornus, Auteur Année de publication : 2008 Conférence : ISPRS 2007, High-Resolution Earth Imaging for Geospatial Information workshop 29/05/2007 01/06/2007 Hanovre Allemagne Article en page(s) : pp 353 - 371 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s)
[Termes IGN] aérotriangulation automatisée
[Termes IGN] auto-étalonnage
[Termes IGN] chambre à grand format
[Termes IGN] compensation par faisceaux
[Termes IGN] DMC
[Termes IGN] erreur systématique
[Termes IGN] espace image
[Termes IGN] géométrie de l'image
[Termes IGN] géoréférencement
[Termes IGN] modélisation géométrique de prise de vue
[Termes IGN] points homologues
[Termes IGN] précision géométrique (imagerie)
[Termes IGN] rapport base hauteur
[Termes IGN] résiduRésumé : (Auteur) Since the advent of the first large format digital aerial cameras, high expectations have been placed on their performance. The dream of obtaining aerial images virtually free of geometric errors and with greater radiometric quality is getting close. Nevertheless, systematic image residuals, unexpected height errors in aerial triangulation and the need for additional self-calibration parameters have been reported since 2005. In this paper a preliminary analysis of the theoretical accuracies in aerial triangulation using the Zeiss/Intergraph (Z/I) Digital Mapping Camera (DMC) and an analogue camera is conducted, motivated by those recent reports. This analysis considers a mathematical model where the image has conical geometry and is free of systematic errors. The influence on the propagated block accuracy of the base-to-height ratio, image pointing precision (both manual and automatic), GPS observations for projection centres and of pass/tie point density is studied. Moreover, the expected accuracy in the aerial triangulation of analogue images using current procedures (having regard to the a priori accuracy for image pointing, ground control measurement and GPS and pass/tie point density) is computed. The goal of this theoretical study is to find the requirements for aerial triangulation with DMC data which would yield the same or an even higher level of accuracy than that obtained with analogue data under the same conditions. The paper continues with a check on the conclusions of this theoretical analysis, using real data-sets and aerial triangulation set-up, which fit with the theoretical analysis. The results prove that the expected theoretical accuracy in aerial triangulation is only obtained if an appropriate self-calibration parameter set is considered in the bundle block adjustment and/or if good GPS observations are available. These requirements result from the unfavourable propagation from unmodelled systematic error in the DMC image blocks. Some authors have detected systematic residuals in the order of one-tenth of a pixel rms in DMC image space. For this reason, investigations are being carried out on systematic error characterisation, distribution in image space and stability over time and flying height, and systematic error modelling, using self-calibration parameter sets and applying correction grids. Finally, conclusions are drawn from the investigations. Copyright RS&PS + Blackwell Publishing Numéro de notice : A2008-417 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1111/j.1477-9730.2008.00504.x En ligne : https://doi.org/10.1111/j.1477-9730.2008.00504.x Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29488
in Photogrammetric record > vol 23 n° 124 (December 2008 - February 2009) . - pp 353 - 371[article]
[article]
Titre : On detecting spatial outliers Type de document : Article/Communication Auteurs : D. Chen, Auteur ; C.T. Lu, Auteur ; Y. Kou, Auteur ; et al., Auteur Année de publication : 2008 Article en page(s) : pp 455 - 475 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Bases de données localisées
[Termes IGN] exploration de données géographiques
[Termes IGN] méthode robuste
[Termes IGN] qualité des données
[Termes IGN] valeur aberranteRésumé : (Auteur) The ever-increasing volume of spatial data has greatly challenged our ability to extract useful but implicit knowledge from them. As an important branch of spatial data mining, spatial outlier detection aims to discover the objects whose non-spatial attribute values are significantly different from the values of their spatial neighbors. These objects, called spatial outliers, may reveal important phenomena in a number of applications including traffic control, satellite image analysis, weather forecast, and medical diagnosis. Most of the existing spatial outlier detection algorithms mainly focus on identifying single attribute outliers and could potentially misclassify normal objects as outliers when their neighborhoods contain real spatial outliers with very large or small attribute values. In addition, many spatial applications contain multiple non-spatial attributes which should be processed altogether to identify outliers. To address these two issues, we formulate the spatial outlier detection problem in a general way, design two robust detection algorithms, one for single attribute and the other for multiple attributes, and analyze their computational complexities. Experiments were conducted on a real-world data set, West Nile virus data, to validate the effectiveness of the proposed algorithms. Copyright Springer Numéro de notice : A2008-379 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/INFORMATIQUE Nature : Article DOI : 10.1007/s10707-007-0038-8 En ligne : https://doi.org/10.1007/s10707-007-0038-8 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29372
in Geoinformatica > vol 12 n° 4 (December 2008) . - pp 455 - 475[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 057-08041 RAB Revue Centre de documentation En réserve L003 Disponible The impact of errors in polar motion and nutation on UT1 determinations from VLBI Intensive observations / Axel Nothnagel in Journal of geodesy, vol 82 n° 12 (December 2008)
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Titre : The impact of errors in polar motion and nutation on UT1 determinations from VLBI Intensive observations Type de document : Article/Communication Auteurs : Axel Nothnagel, Auteur ; D. Schnell, Auteur Année de publication : 2008 Article en page(s) : pp 863 - 869 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géodésie physique
[Termes IGN] compensation
[Termes IGN] données ITGB
[Termes IGN] écart type
[Termes IGN] erreur systématique
[Termes IGN] mouvement du pôle
[Termes IGN] nutation
[Termes IGN] temps universelRésumé : (Auteur) The earth’s phase of rotation, expressed as Universal Time UT1, is the most variable component of the earth’s rotation. Continuous monitoring of this quantity is realised through daily single-baseline VLBI observations which are interleaved with VLBI network observations. The accuracy of these single-baseline observations is established mainly through statistically determined standard deviations of the adjustment process although the results of these measurements are prone to systematic errors. The two major effects are caused by inaccuracies in the polar motion and nutation angles introduced as a priori values which propagate into the UT1 results. In this paper, we analyse the transfer of these components into UT1 depending on the two VLBI baselines being used for short duration UT1 monitoring. We develop transfer functions of the errors in polar motion and nutation into the UT1 estimates. Maximum values reach 30 [?s per milliarcsecond] which is quite large considering that observations of nutation offsets w.r.t. the state-of-the-art nutation model show deviations of as much as one milliarcsecond. Copyright Springer Numéro de notice : A2008-470 Affiliation des auteurs : non IGN Thématique : POSITIONNEMENT Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1007/s00190-008-0212-2 En ligne : https://doi.org/10.1007/s00190-008-0212-2 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29539
in Journal of geodesy > vol 82 n° 12 (December 2008) . - pp 863 - 869[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 266-08111 RAB Revue Centre de documentation En réserve L003 Disponible 266-08112 RAB Revue Centre de documentation En réserve L003 Disponible Water Modeler: a component of a coastal zone decision support system to generate flood-risk maps from storm surge events and sea-level rise / T.L. Webster in Geomatica, vol 62 n° 4 (December 2008)
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Titre : Water Modeler: a component of a coastal zone decision support system to generate flood-risk maps from storm surge events and sea-level rise Type de document : Article/Communication Auteurs : T.L. Webster, Auteur ; R. Mosher, Auteur ; M. Pearson, Auteur Année de publication : 2008 Article en page(s) : pp 393 - 406 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Systèmes d'information géographique
[Termes IGN] données lidar
[Termes IGN] inondation
[Termes IGN] littoral
[Termes IGN] modèle numérique de surface
[Termes IGN] modèle stochastique
[Termes IGN] montée du niveau de la mer
[Termes IGN] Nouveau-Brunswick (Canada)
[Termes IGN] Nouvelle-Ecosse (Canada)
[Termes IGN] outil d'aide à la décision
[Termes IGN] prévention des risques
[Termes IGN] raz-de-maréeRésumé : (Auteur) This paper outlines a new software tool, Water Modeler, which is a component of a Coastal Zone Decision Support System. The Water Modeler can analyze a time series of water-level records (tide gauge observations) to determine the risk associated with a high water level from a storm surge event or long-term sea-level rise. The new tool has been applied in two case studies in Nova Scotia, Canada, where coastal flood-risk maps have been derived from high-resolution LiDAR digital elevation models. The first case study is for Annapolis Royal on the Bay of Fundy side of the province, while the second looks at the Kingsburg area of Lunenburg County on the Atlantic shore. The Saint John, New Brunswick, and Halifax tide gauge records were used for Annapolis Royal and Kingsburg, respectively, in the Water Modeler to examine the risks of coastal flooding. The Groundhog Day storm of 1976, which caused coastal flooding around the Bay of Fundy, was used as a benchmark for Annapolis Royal. At current rates of sea-level rise, 22 cm/century, the average return period of this water level is 43 years (65 percent probability) and there is a very high probability (99 percent) that it will reoccur within 121 years. If relative sea-level rise rates increase to 80 cm/century from climate change, then the average return period reduces to 23 years, and there is a 99 percent probability of reoccurrence within 55 years. The benchmark storm used from the Halifax water record was Hurricane Juan, which occurred in September 2003. The cumulative flood-level probabilities were calculated for this water level and a return period of 95 years was determined, with an average return period of 52 years (65 percent probability) under current sea-level conditions. The combination of geomatics tools, such as high-resolution LiDAR digital elevation models (DEMs) for coastal flood inundation and the Water Modeler to estimate the associated risk, allows coastal communities to better plan for the future. Copyright Geomatica Numéro de notice : A2008-514 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/INFORMATIQUE Nature : Article DOI : 10.5623/geomat-2008-0044 En ligne : https://cdnsciencepub.com/doi/abs/10.5623/geomat-2008-0044 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29583
in Geomatica > vol 62 n° 4 (December 2008) . - pp 393 - 406[article]Réservation
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