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Detection and correction of inconsistencies between river networks and contour data by spatial constraint knowledge / Tinghua Ai in Cartography and Geographic Information Science, Vol 42 n° 1 (January 2015)
[article]
Titre : Detection and correction of inconsistencies between river networks and contour data by spatial constraint knowledge Type de document : Article/Communication Auteurs : Tinghua Ai, Auteur ; Min Yang, Auteur ; Xiang Zhang, Auteur ; Jing Tian, Auteur Année de publication : 2015 Article en page(s) : pp 79 - 93 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique
[Termes IGN] cohérence des données
[Termes IGN] programmation par contraintes
[Termes IGN] réseau fluvialRésumé : (auteur) In the representation of topographic data, the distribution of hydrographic networks should be constrained by the contour model’s landform features. During the integration of topographic databases, however, spatial conflicts may destroy these constraints, generating inconsistencies. This study presents a method to detect and correct inconsistencies between river networks and contour data by spatial knowledge. First, structured terrain features are extracted from the contour-based geometric representation and matching relationships between rivers and contours are constructed based on spatial knowledge of the distribution of rivers and talwegs. We then propose a distance metric for measuring differences and identifying inconsistencies between the matched river and contour features. Three correction approaches are provided for different inconsistency situations, including river adjustment referenced to the contour, contour adjustment referenced to the river and adjustment of both river and contour to middle positions. We apply the proposed method to the integration and maintenance of national topographic infrastructure in order to demonstrate its effectiveness. Numéro de notice : A2015-235 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/15230406.2014.956673 En ligne : https://doi.org/10.1080/15230406.2014.956673 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=76228
in Cartography and Geographic Information Science > Vol 42 n° 1 (January 2015) . - pp 79 - 93[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 032-2015011 RAB Revue Centre de documentation En réserve L003 Disponible
Titre : Vehicle localization using mono-camera and geo-referenced traffic signs Type de document : Article/Communication Auteurs : Xiaozhi Qu , Auteur ; Bahman Soheilian , Auteur ; Nicolas Paparoditis , Auteur Editeur : New York : Institute of Electrical and Electronics Engineers IEEE Année de publication : 2015 Conférence : IV 2015, IEEE Intelligent Vehicles Symposium 28/06/2015 01/07/2015 Seoul Corée du Sud Importance : pp 605 - 610 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques
[Termes IGN] base de données localisées
[Termes IGN] compensation locale par faisceaux
[Termes IGN] détection automatique
[Termes IGN] géopositionnement
[Termes IGN] image terrestre
[Termes IGN] point de repère
[Termes IGN] programmation par contraintes
[Termes IGN] signalisation routière
[Termes IGN] véhicule automobileRésumé : (auteur) Vision based localization is a cost effective method for indoor and outdoor application. However, it has drift problem if none global optimization is used. We proposed a geo-referenced traffic sign based localization method, which integrated the constraints of 3D traffic signs with local bundle adjustment to reduce the drift. Comparing to global bundle adjustment, Local Bundle Adjustment(LBA) has low computational cost but suffers the drift problem for large scale localization because of the random error accumulation. We reduced the drift by means of the constraints from geo-referenced traffic signs for bundle adjustment process. The original LBA model was extended for the constraints and the traffic signs were detected in images and matched with 3D landmark database automatically. From the experiments of simulated and real images, our approach can reduce the drift and have better locating results than none-constraint LBA based localization method. Numéro de notice : C2015-042 Affiliation des auteurs : LASTIG MATIS (2012-2019) Thématique : IMAGERIE/POSITIONNEMENT Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : 10.1109/IVS.2015.7225751 Date de publication en ligne : 27/08/2015 En ligne : http://dx.doi.org/10.1109/IVS.2015.7225751 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=83303 Multi-view 3D circular target reconstruction with uncertainty analysis / Bahman Soheilian in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol II-3 (September 2014)
[article]
Titre : Multi-view 3D circular target reconstruction with uncertainty analysis Type de document : Article/Communication Auteurs : Bahman Soheilian , Auteur ; Mathieu Brédif , Auteur Année de publication : 2014 Conférence : PCV 2014, ISPRS Technical Commission 3 Symposium Photogrammetric Computer vision 05/09/2014 07/09/2014 Zurich Suisse OA ISPRS Annals Article en page(s) : pp 143 - 148 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques
[Termes IGN] cible réfléchissante
[Termes IGN] cône
[Termes IGN] incertitude des données
[Termes IGN] matrice de covariance
[Termes IGN] modèle de Gauss-Helmert
[Termes IGN] programmation par contraintes
[Termes IGN] propagation d'erreur
[Termes IGN] reconstruction 3DRésumé : (auteur) The paper presents an algorithm for reconstruction of 3D circle from its apparition in n images. It supposes that camera poses are known up to an uncertainty. They will be considered as observations and will be refined during the reconstruction process. First, circle apparitions will be estimated in every individual image from a set of 2D points using a constrained optimization. Uncertainty of 2D points are propagated in 2D ellipse estimation and leads to covariance matrix of ellipse parameters. In 3D reconstruction process ellipse and camera pose parameters are considered as observations with known covariances. A minimal parametrization of 3D circle enables to model the projection of circle in image without any constraint. The reconstruction is performed by minimizing the length of observation residuals vector in a non linear Gauss-Helmert model. The output consists in parameters of the corresponding circle in 3D and their covariances. The results are presented on simulated data. Numéro de notice : A2014-774 Affiliation des auteurs : LASTIG MATIS (2012-2019) Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.5194/isprsannals-II-3-143-2014 Date de publication en ligne : 07/09/2014 En ligne : http://dx.doi.org/10.5194/isprsannals-II-3-143-2014 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=78722
in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences > vol II-3 (September 2014) . - pp 143 - 148[article]Documents numériques
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Multi-view 3D circular target reconstruction with uncertainty analysisAdobe Acrobat PDF A general framework for trajectory data warehousing and visual OLAP / Luca Leonardi in Geoinformatica, vol 18 n° 2 (April 2014)
[article]
Titre : A general framework for trajectory data warehousing and visual OLAP Type de document : Article/Communication Auteurs : Luca Leonardi, Auteur ; Salvatore Orlando, Auteur ; Alessandra Raffaetà, Auteur ; Alessandro Roncato, Auteur ; et al., Auteur Année de publication : 2014 Article en page(s) : pp 273 - 312 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale
[Termes IGN] analyse de données
[Termes IGN] base de données d'objets mobiles
[Termes IGN] entrepôt de données
[Termes IGN] itinéraire
[Termes IGN] modèle conceptuel de données spatio-temporelles
[Termes IGN] objet mobile
[Termes IGN] outil d'aide à la décision
[Termes IGN] programmation par contraintes
[Termes IGN] SOLAPRésumé : (Auteur) In this paper, we present a formal framework for modelling a trajectory data warehouse (TDW), namely a data warehouse aimed at storing aggregate information on trajectories of moving objects, which also offers visual OLAP operations for data analysis. The data warehouse model includes both temporal and spatial dimensions, and it is flexible and general enough to deal with objects that are either completely free or constrained in their movements (e.g., they move along a road network). In particular, the spatial dimension and the associated concept hierarchy reflect the structure of the environment in which the objects travel. Moreover, we cope with some issues related to the efficient computation of aggregate measures, as needed for implementing roll-up operations. The TDW and its visual interface allow one to investigate the behaviour of objects inside a given area as well as the movements of objects between areas in the same neighbourhood. A user can easily navigate the aggregate measures obtained from OLAP queries at different granularities, and get overall views in time and in space of the measures, as well as a focused view on specific measures, spatial areas, or temporal intervals. We discuss two application scenarios of our TDW, namely road traffic and vessel movement analysis, for which we built prototype systems. They mainly differ in the kind of information available for the moving objects under observation and their movement constraints. Numéro de notice : A2014-227 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1007/s10707-013-0181-3 Date de publication en ligne : 11/05/2013 En ligne : https://doi.org/10.1007/s10707-013-0181-3 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=33130
in Geoinformatica > vol 18 n° 2 (April 2014) . - pp 273 - 312[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 057-2014021 RAB Revue Centre de documentation En réserve L003 Disponible Filtering airborne lidar data by modified white top-hat transform with directional edge constraints / Yong Li in Photogrammetric Engineering & Remote Sensing, PERS, vol 80 n° 2 (February 2014)
[article]
Titre : Filtering airborne lidar data by modified white top-hat transform with directional edge constraints Type de document : Article/Communication Auteurs : Yong Li, Auteur ; Bin Yong, Auteur ; Huayi Wu, Auteur Année de publication : 2014 Article en page(s) : pp 133 - 141 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] contrainte géométrique
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] morphologie mathématique
[Termes IGN] objet géographique ponctuel
[Termes IGN] programmation par contraintes
[Termes IGN] sous-solRésumé : (Auteur) A novel algorithm that employs modified white top-hat (MWTH) transform with directional edge constraints is proposed in this study to automatically extract ground points from airborne light detection and ranging (lidar) data. MWTH transform can effectively distinguish above-ground objects that are smaller than the window size and higher than the height difference threshold. Directional edge constraints significantly decrease omission errors from protruding ground features. Incorporating MWTH transform and directional edge constraints enables the simultaneous consideration of the size, height, and edge characteristics of lidar data for judging above-ground objects. Experimental results verify that the proposed algorithm exhibits promising performance and high accuracy in various complicated landscapes, even in areas with dramatic changes in elevation. The proposed algorithm has minimal omission and commission error oscillation for different test sites, thereby demonstrating its stability and reliability in a wide range of applications. Numéro de notice : A2014-108 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.80.2.133-141 En ligne : https://doi.org/10.14358/PERS.80.2.133-141 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=33013
in Photogrammetric Engineering & Remote Sensing, PERS > vol 80 n° 2 (February 2014) . - pp 133 - 141[article]Structured sparse method for hyperspectral unmixing / Feiyun Zhu in ISPRS Journal of photogrammetry and remote sensing, vol 88 (February 2014)PermalinkLocalisation de véhicule par satellites couplée à la navigation à l'estime et aux données cartographiques / David Bétaille (2014)PermalinkPermalinkRepresentation of interactions in a multi-level multi-agent model for cartography constraint solving / Adrien Maudet (2014)PermalinkAdaptive geo-information processing service evolution: Reuse and local modification method / Haifeng Li in ISPRS Journal of photogrammetry and remote sensing, vol 83 (September 2013)PermalinkConflation optimized by least squares to maintain geographic shapes / Guillaume Touya in ISPRS International journal of geo-information, vol 2 n° 3 (September 2013)PermalinkGeneralized inner constraints for geodetic network densification problems / Christopher Kotsakis in Journal of geodesy, vol 87 n° 7 (July 2013)PermalinkSingle tree detection from airborne laser scanning data using a marked point process based method / Junjie Zhang in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol II-3 W1 (May 2013)PermalinkA framework to model and manipulate constraints for over-constrained geographic applications / Wassim Jaziri in Geoinformatica, vol 17 n° 2 (April 2013)PermalinkDetection and 3D reconstruction of traffic signs from multiple view color images / Bahman Soheilian in ISPRS Journal of photogrammetry and remote sensing, vol 77 (March 2013)Permalink