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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)
[article]
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]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)
[article]
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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Code-barres Cote Support Localisation Section Disponibilité 035-08041 RAB Revue Centre de documentation En réserve L003 Disponible Modelling house unit density from land cover metrics: a Midwestern US example / P. Hardin in Geocarto international, vol 23 n° 5 (October - November 2008)
[article]
Titre : Modelling house unit density from land cover metrics: a Midwestern US example Type de document : Article/Communication Auteurs : P. Hardin, Auteur ; M. Jackson, Auteur ; R. Jensen, Auteur Année de publication : 2008 Article en page(s) : pp 393 - 411 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] analyse discriminante
[Termes IGN] densité de population
[Termes IGN] densité du bâti
[Termes IGN] données socio-économiques
[Termes IGN] estimation statistique
[Termes IGN] image Landsat-ETM+
[Termes IGN] Indiana (Etats-Unis)
[Termes IGN] régression multiple
[Termes IGN] spatial metricsRésumé : (Auteur) Geographic applications frequently require the gathering and analysis of socioeconomic data. For many nations, these data are normally collected through a census. However, during the intercensal period (5-10 years), these data lose their currency and must be updated. The objective of this project was to estimate housing unit density from Landsat ETM+ imagery in the Terre Haute, IN, USA, region. Modelling was done for 1945 census blocks in the study area containing 30 972 housing units. Landtype, as represented by six cluster classes, was used as the primary surrogate for housing unit density. The percentage of each landtype within the census blocks was calculated. Other landscape metrics representing landtype patch dominance and diversity were also calculated on a per-block basis. Housing unit density within the census block was then modelled as a function of those percentages and metrics using discriminant analysis and multiple regression. The simple correlation between the observed and modelled housing unit density was 0.79. The mean residual error produced by the model was 0.37 housing units per hectare. Copyright Taylor & Francis Numéro de notice : A2008-465 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106040801950344 Date de publication en ligne : 05/09/2008 En ligne : https://doi.org/10.1080/10106040801950344 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29534
in Geocarto international > vol 23 n° 5 (October - November 2008) . - pp 393 - 411[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 059-08051 RAB Revue Centre de documentation En réserve L003 Disponible Accuracy assessment of Lidar-derived digital elevation models / F. Aguilar in Photogrammetric record, vol 23 n° 122 (June - August 2008)
[article]
Titre : Accuracy assessment of Lidar-derived digital elevation models Type de document : Article/Communication Auteurs : F. Aguilar, Auteur ; Jon P. Mills, Auteur Année de publication : 2008 Article en page(s) : pp 148 - 169 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] analyse comparative
[Termes IGN] données lidar
[Termes IGN] erreur de mesure
[Termes IGN] lasergrammétrie
[Termes IGN] méthode de Monte-Carlo
[Termes IGN] modèle numérique de surface
[Termes IGN] positionnement cinématique
[Termes IGN] positionnement par GPS
[Termes IGN] précision des mesuresRésumé : (Auteur) Despite the relatively high cost of airborne lidar-derived digital elevation models (DEMs), such products are usually presented without a satisfactory associated estimate of accuracy. For the most part, DEM accuracy estimates are typically provided by comparing lidar heights against a finite sample of check point coordinates from an independent source of higher accuracy, supposing a normal distribution of the derived height differences or errors. This paper proposes a new methodology to assess the vertical accuracy of lidar DEMs using confidence intervals constructed from a finite sample of errors computed at check points. A non-parametric approach has been tested where no particular error distribution is assumed, making the proposed methodology especially applicable to non-normal error distributions of the type usually found in DEMs derived from lidar. The performance of the proposed model was experimentally validated using Monte Carlo simulation on 18 vertical error data-sets. Fifteen of these data-sets were computed from original lidar data provided by the International Society for Photogrammetry and Remote Sensing Working Group III/3, using their respective filtered reference data as ground truth. The three remaining data-sets were provided by the Natural Environment Research Council's Airborne Research and Survey Facility lidar system, together with check points acquired using high precision kinematic GPS. The results proved promising, the proposed models reproducing the statistical behaviour of vertical errors of lidar using a favourable number of check points, even in the cases of data-sets with non-normally distributed residuals. This research can therefore be considered as a potentially important step towards improving the quality control of lidar-derived DEMs. Copyright RS&PS + Blackwell Publishing Numéro de notice : A2008-295 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1111/j.1477-9730.2008.00476.x En ligne : https://doi.org/10.1111/j.1477-9730.2008.00476.x Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29288
in Photogrammetric record > vol 23 n° 122 (June - August 2008) . - pp 148 - 169[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 106-08021 RAB Revue Centre de documentation En réserve L003 Disponible Automatic building extraction from DEMs using an object approach and application to the 3D-city modeling / Florent Lafarge in ISPRS Journal of photogrammetry and remote sensing, vol 63 n° 3 (May - June 2008)
[article]
Titre : Automatic building extraction from DEMs using an object approach and application to the 3D-city modeling Type de document : Article/Communication Auteurs : Florent Lafarge, Auteur ; Xavier Descombes, Auteur ; Josiane Zerubia, Auteur ; Marc Pierrot-Deseilligny , Auteur Année de publication : 2008 Article en page(s) : pp 365 - 381 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie numérique
[Termes IGN] détection d'objet
[Termes IGN] détection du bâti
[Termes IGN] empreinte
[Termes IGN] extraction automatique
[Termes IGN] image à haute résolution
[Termes IGN] modèle 3D de l'espace urbain
[Termes IGN] modèle numérique de surface
[Termes IGN] processus ponctuel marquéRésumé : (Auteur) In this paper, we present an automatic building extraction method from Digital Elevation Models based on an object approach. First, a rough approximation of the building footprints is realized by a method based on marked point processes: the building footprints are modelled by rectangle layouts. Then, these rectangular footprints are regularized by improving the connection between the neighbouring rectangles and detecting the roof height discontinuities. The obtained building footprints are structured footprints: each element represents a specific part of an urban structure. Results are finally applied to a 3D-city modelling process. Copyright ISPRS Numéro de notice : A2008-222 Affiliation des auteurs : MATIS+Ext (1993-2011) Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2007.09.003 Date de publication en ligne : 20/02/2008 En ligne : https://doi.org/10.1016/j.isprsjprs.2007.09.003 Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29217
in ISPRS Journal of photogrammetry and remote sensing > vol 63 n° 3 (May - June 2008) . - pp 365 - 381[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 081-08031 SL Revue Centre de documentation Revues en salle Disponible Estimation automatique de l'orientation relative : une approche directe basée sur la résolution de systèmes polynomiaux multivariables / Mahzad Kalantari in Revue Française de Photogrammétrie et de Télédétection, n° 189 (Mars 2008)PermalinkA robust biased estimator for exterior orientation of linear array pushbroom satellite imagery / Y. Zhang in Geomatica, vol 62 n° 1 (March 2008)PermalinkTexture feature fusion with neighborhood oscillating tabu search for high resolution image classification / L. Zhang in Photogrammetric Engineering & Remote Sensing, PERS, vol 74 n° 3 (March 2008)PermalinkAide-mémoire de géostatistique linéaire / P. Chauvet (2008)PermalinkPermalinkEstimation of storm surge in the bay of Bengal / John Fiske (2008)PermalinkÉtude comparative de différentes méthodes d'estimation / Samuel Nahmani (2008)PermalinkModélisation et statistique spatiales / Carlo Gaetan (2008)PermalinkA new computationally efficient stochastic approach for building reconstruction from satellite data / Florent Lafarge (2008)PermalinkA stochastic framework for the identification of building rooftops using a single remote sensing image / A. Katartzis in IEEE Transactions on geoscience and remote sensing, vol 46 n° 1 (January 2008)Permalink