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The iQmulus urban showcase: automatic tree classification and identification in huge mobile mapping point clouds / Jan Böhm (2016)    

Public contenu dans 23th ISPRS international congress, 3. Commission III / Lena Halounova (2016)   Titre : The iQmulus urban showcase: automatic tree classification and identification in huge mobile mapping point clouds Type de document : Article/Communication Auteurs : Jan Böhm , Auteur ; Mathieu Brédif , Auteur ; T. Gierlinger, Auteur ; M. Krämer, Auteur ; R.E. Lindenberg, Auteur ; K. Liu, Auteur ; F. Michel, Auteur ; B. Sirmacek, Auteur Editeur : International Society for Photogrammetry and Remote Sensing ISPRS Année de publication : 2016 Collection : International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, ISSN 1682-1750 num. 41-B3 Projets : IQmulus / Métral, Claudine Conférence : ISPRS 2016, Commission 3, 23th international congress 12/07/2016 19/07/2016 Prague République tchèque ISPRS OA Archives Commission 3 Importance : pp 301 - 307 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie [Termes IGN] analyse en composantes principales [Termes IGN] arbre urbain [Termes IGN] données lidar [Termes IGN] données localisées 3D [Termes IGN] données massives [Termes IGN] semis de points [Termes IGN] Spark [Termes IGN] Toulouse [Termes IGN] traitement de données localisées Résumé : (auteur) Current 3D data capturing as implemented on for example airborne or mobile laser scanning systems is able to efficiently sample the surface of a city by billions of unselective points during one working day. What is still difficult is to extract and visualize meaningful information hidden in these point clouds with the same efficiency. This is where the FP7 IQmulus project enters the scene. IQmulus is an interactive facility for processing and visualizing big spatial data. In this study, the potential of IQmulus is demonstrated on a laser mobile mapping point cloud of 1 billion points sampling ~ 10 km of street environment in Toulouse, France. After the data is uploaded to the IQmulus Hadoop Distributed File System, a workflow is defined by the user consisting of retiling the data followed by a PCA driven local dimensionality analysis, which runs efficiently on the IQmulus cloud facility using a Spark implementation. Points scattering in 3 directions are clustered in the tree class, and are separated next into individual trees. Five hours of processing at the 12 node computing cluster results in the automatic identification of 4000+ urban trees. Visualization of the results in the IQmulus fat client helps users to appreciate the results, and developers to identify remaining flaws in the processing workflow. Numéro de notice : C2016-041 Affiliation des auteurs : LASTIG MATIS+Ext (2012-2019) Thématique : IMAGERIE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : 10.5194/isprs-archives-XLI-B3-301-2016 Date de publication en ligne : 09/06/2016 En ligne : https://doi.org/10.5194/isprs-archives-XLI-B3-301-2016 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=91853

Documents numériques

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Forming a global monitoring mechanism and a spatiotemporal performance model for geospatial services / Jizhe Xia in International journal of geographical information science IJGIS, vol 29 n° 3 (March 2015)  

Public [article]  inInternational journal of geographical information science IJGIS > vol 29 n° 3 (March 2015) . - pp 375 - 396 Titre : Forming a global monitoring mechanism and a spatiotemporal performance model for geospatial services Type de document : Article/Communication Auteurs : Jizhe Xia, Auteur ; Chaowei Yang, Auteur ; K. Liu, Auteur ; et al., Auteur Année de publication : 2015 Article en page(s) : pp 375 - 396 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique web [Termes IGN] architecture orientée services [Termes IGN] données massives [Termes IGN] évaluation [Termes IGN] informatique en nuage [Termes IGN] infrastructure mondiale des données localisées [Termes IGN] modèle conceptuel de données spatio-temporelles [Termes IGN] service web géographique [Termes IGN] test de performance Résumé : (Auteur) Geographic information service (GIService) has become popular in the last decade to develop applications for addressing global challenges. Performance is one of the most important criteria to help users select distributed online GIService for developing geospatial applications including natural hazards and emergency responses. However, performance accuracy is limited by the single-location-based evaluation mechanism while service performance is dynamic in space and time between end-users and services. We propose a spatiotemporal performance evaluation mechanism to improve the accuracy. Specially, a cloud and volunteer computing mechanism is proposed to collect performance information of globally distributed GIServices. A global spatiotemporal performance model is designed to integrate spatiotemporal dynamics for better performance evaluation for users from different regions at different times. This model is tested to support GIService selection in global spatial data infrastructures (SDIs). The experiment confirms that the proposed model provides more accurate evaluations for global users and better supports geospatial resource utilizations in SDIs than previous mechanisms. The methodology can be adopted to improve the services of other regional and global distributed operational systems. Numéro de notice : A2015-583 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/13658816.2014.968783 En ligne : http://www.tandfonline.com/doi/full/10.1080/13658816.2014.968783 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=77869 [article]

Computing the fuzzy topological relations of spatial objects based on induced fuzzy topology / K. Liu in International journal of geographical information science IJGIS, vol 20 n° 8 (september 2006)  

Public [article]  inInternational journal of geographical information science IJGIS > vol 20 n° 8 (september 2006) . - pp 857 - 883 Titre : Computing the fuzzy topological relations of spatial objects based on induced fuzzy topology Type de document : Article/Communication Auteurs : K. Liu, Auteur ; Wei Shi, Auteur Année de publication : 2006 Article en page(s) : pp 857 - 883 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Bases de données localisées [Termes IGN] logique floue [Termes IGN] modèle topologique complet [Termes IGN] objet géographique [Termes IGN] relation topologique [Termes IGN] topologie Résumé : (Auteur) For modeling the topological relations between spatial objects, the concepts of a bound on the intersection of the boundary and interior, and the boundary and exterior are defined in this paper based on the newly developed computational fuzzy topology. Furthermore, the qualitative measures for the intersections are specified based on the ?-cut induced fuzzy topology, which are (A???A)(x) Numéro de notice : A2006-348 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/INFORMATIQUE Nature : Article DOI : 10.1080/13658810600711345 En ligne : https://doi.org/10.1080/13658810600711345 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28072 [article]

Exemplaires(2)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
079-06081	RAB	Revue	Centre de documentation	En réserve L003	Disponible
079-06082	RAB	Revue	Centre de documentation	En réserve L003	Disponible

Modelling fuzzy topological relations between uncertain objects in a GIS / Wei Shi in Photogrammetric Engineering & Remote Sensing, PERS, vol 70 n° 8 (August 2004)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 70 n° 8 (August 2004) . - pp 921 - 929 Titre : Modelling fuzzy topological relations between uncertain objects in a GIS Type de document : Article/Communication Auteurs : Wei Shi, Auteur ; K. Liu, Auteur Année de publication : 2004 Article en page(s) : pp 921 - 929 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique [Termes IGN] analyse des correspondances [Termes IGN] correction géométrique [Termes IGN] logique floue [Termes IGN] modèle numérique [Termes IGN] objet flou [Termes IGN] objet géographique [Termes IGN] relation floue [Termes IGN] relation topologique [Termes IGN] système d'information géographique Résumé : (Auteur) This paper presents a study on modeling fuzzy topological relations between uncertain objects in GIS. Quasi-coincidence and quasi-difference, which are used to distinguish the topological relations between fuzzy objects, and to indicate the effect of one fuzzy object on another in a fuzzy topology adopted for the development. Geometrically, features in GIS can be classified as point features, linear features, and polygon or region features. In this paper, we first introduce several basic concepts in fuzzy topology that will be used in this study. This is followed by several definitions of fuzzy points, fuzzy lines, and fuzzy regions for GIS objects. Next, the level at which one fuzzy object affects the other is modeled based on the sum and difference of the membership functions that are quasi-coincident and quasi-different, respectively. Finally, an applicable example of using quasi-coincidence and quasi-difference based on the new definitions of fuzzy point, line and polygon is given. Numéro de notice : A2004-307 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/INFORMATIQUE Nature : Article DOI : 10.14358/PERS.70.8.921 En ligne : https://doi.org/10.14358/PERS.70.8.921 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26834 [article]