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Efficient visualization of urban simulation data using modern GPUs / Aleksandr Zagarskikh in Procedia Computer Science, vol 51 (2015)
[article]
Titre : Efficient visualization of urban simulation data using modern GPUs Type de document : Article/Communication Auteurs : Aleksandr Zagarskikh, Auteur ; Andrey Karsakov, Auteur ; Alexey Bezgodov, Auteur Année de publication : 2015 Conférence : ICCS 2015, International Conference on Computational Science, Computational Science at the Gates of Nature 01/06/2015 03/06/2015 Reykjavík Islande Article en page(s) : pp 2928 - 2932 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Informatique
[Termes IGN] base de données urbaines
[Termes IGN] processeur graphique
[Termes IGN] simulation 3D
[Termes IGN] visualisation de donnéesRésumé : (auteur) Visualization of simulation results in major urban areas is a difficult task. Multi-scale processes and connectivity of the urban environment may require interactive visualization of dynamic scenes with lots of objects at different scales. To visualize these scenes it is not always possible to use standard GIS systems. Wide distribution of high-performance gaming graphics cards has led to the emergence of specialized frameworks, which are able to cope with such kinds of visualization. This paper presents a framework and special algorithms that take full advantage of the GPU to render the urban simulation data over a virtual globe. The experiments on a scalability of the framework have showed that the framework is successfully deals with the visualization of up to two million moving agents and up to eight million of fixed points of interest on top of the virtual globe without detriment to smoothness of the image. Numéro de notice : A2015--086 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/INFORMATIQUE Nature : Article DOI : 10.1016/j.procs.2015.05.481 En ligne : https://doi.org/10.1016/j.procs.2015.05.481 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=84753
in Procedia Computer Science > vol 51 (2015) . - pp 2928 - 2932[article]Parallel performance of typical algorithms in remote sensing-based mapping on a multi-core computer / Jinghui Yang in Photogrammetric Engineering & Remote Sensing, PERS, vol 81 n° 5 (May 2015)
[article]
Titre : Parallel performance of typical algorithms in remote sensing-based mapping on a multi-core computer Type de document : Article/Communication Auteurs : Jinghui Yang, Auteur ; Jixian Zhang, Auteur Année de publication : 2015 Article en page(s) : pp 373 - 385 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] processeur multicoeur
[Termes IGN] traitement d'image
[Termes IGN] traitement parallèleRésumé : (auteur) Typical algorithms in remote sensing-based mapping, such as geometric correction, image fusion, image mosaic, and automatic DEM extractions, are data- and computation-intensive; processing on multi-core computers can improve their performance. Therefore, parallel computing methods that can fully leverage state-of-the-art hardware platforms and that can be easily adapted to these algorithms are required. In this paper, a method with high parallelism is adopted. The method integrates a recursive procedure with a parallel mechanism that is capable of concurrently processing multiple blocks on multiple cores. The parallel experiments of five categories of typical algorithms on two multi-core computers with Windows and Linux operating systems, respectively, were fulfilled. The experimental results show that although the gains of parallel performance vary for different algorithms, the processing performance achieved on multi-core computers is significantly improved. The best case on a computer with two CPUs is able to perform the DEM extractions up to 13.6 times faster than serial execution. According to these experiments, the factors influencing parallel performance on a multi-core computer are discussed. Numéro de notice : A2015-972 Affiliation des auteurs : non IGN Thématique : IMAGERIE/INFORMATIQUE Nature : Article DOI : 10.14358/PERS.81.5.373 En ligne : https://doi.org/10.14358/PERS.81.5.373 Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=80042
in Photogrammetric Engineering & Remote Sensing, PERS > vol 81 n° 5 (May 2015) . - pp 373 - 385[article]Extracting mobile objects in images using a Velodyne lidar point cloud / Bruno Vallet in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol II-3 W4 (March 2015)
[article]
Titre : Extracting mobile objects in images using a Velodyne lidar point cloud Type de document : Article/Communication Auteurs : Bruno Vallet , Auteur ; Wen Xiao, Auteur ; Mathieu Brédif , Auteur Année de publication : 2015 Conférence : ISPRS 2015, PIA 2015 - HRIGI 2015 Joint ISPRS conference 25/03/2015 27/03/2015 Munich Allemagne ISPRS OA Annals Article en page(s) : pp 247 - 253 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques
[Termes IGN] algorithme Graph-Cut
[Termes IGN] architecture pipeline (processeur)
[Termes IGN] classification de Dempster-Shafer
[Termes IGN] détection d'objet
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] image terrestre
[Termes IGN] objet mobile
[Termes IGN] semis de points
[Termes IGN] théorie de Dempster-ShaferRésumé : (auteur) This paper presents a full pipeline to extract mobile objects in images based on a simultaneous laser acquisition with a Velodyne scanner. The point cloud is first analysed to extract mobile objects in 3D. This is done using Dempster-Shafer theory and it results in weights telling for each points if it corresponds to a mobile object, a fixed object or if no decision can be made based on the data (unknown). These weights are projected in an image acquired simultaneously and used to segment the image between the mobile and the static part of the scene. Numéro de notice : A2015-757 Affiliation des auteurs : LASTIG MATIS (2012-2019) Thématique : IMAGERIE/INFORMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.5194/isprsannals-II-3-W4-247-2015 Date de publication en ligne : 11/03/2015 En ligne : http://dx.doi.org/10.5194/isprsannals-II-3-W4-247-2015 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=78753
in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences > vol II-3 W4 (March 2015) . - pp 247 - 253[article]Provenance capture and use in a satellite data processing pipeline / Scott Jensen in IEEE Transactions on geoscience and remote sensing, vol 51 n° 11 (November 2013)
[article]
Titre : Provenance capture and use in a satellite data processing pipeline Type de document : Article/Communication Auteurs : Scott Jensen, Auteur ; Beth Plale, Auteur ; et al., Auteur Année de publication : 2013 Article en page(s) : pp 5090 - 5097 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications
[Termes IGN] acquisition d'images
[Termes IGN] acquisition de données
[Termes IGN] architecture pipeline (processeur)
[Termes IGN] image Aqua-AMSR
[Termes IGN] source de données
[Termes IGN] télédétection en hyperfréquenceRésumé : (Auteur) With the interdependencies that exist between data in a scientific processing pipeline, the ability to track the provenance of the scientific process through multiple stages is necessary to determining the usability of the resulting data product. In this paper, we study the capture of provenance from an existing NASA instrument ingest pipeline. Since instrumenting the scientific code for a production system is not feasible, we show how provenance events can be scavenged from log files to generate detailed provenance graphs. Through extensions to the Karma provenance system, which have been implemented on a test instance of the AMSR-E production data pipeline, we determine that when the volume of provenance information is high, provenance graph visualizations provide a good tool for monitoring the ingest pipeline and identifying processing differences in ways not seen before. Two novel uses of provenance that we present in this paper are comparisons between processing runs and forward provenance for viewing downstream dependencies. Numéro de notice : A2013-611 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2013.2266929 En ligne : https://doi.org/10.1109/TGRS.2013.2266929 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32747
in IEEE Transactions on geoscience and remote sensing > vol 51 n° 11 (November 2013) . - pp 5090 - 5097[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-2013111 RAB Revue Centre de documentation En réserve L003 Disponible Out-of-core GPU-based change detection in massive 3D point clouds / Rico Richter in Transactions in GIS, vol 17 n° 5 (October 2013)
[article]
Titre : Out-of-core GPU-based change detection in massive 3D point clouds Type de document : Article/Communication Auteurs : Rico Richter, Auteur ; Jan Eric Kiprianidis, Auteur ; Jürgen Döllner, Auteur Année de publication : 2013 Article en page(s) : pp 724 - 741 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] attribut
[Termes IGN] détection de changement
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] processeur graphique
[Termes IGN] semis de points
[Termes IGN] structure de données localisées
[Termes IGN] visualisation 3D
[Termes IGN] visualisation simultanéeRésumé : (Auteur) If sites, cities, and landscapes are captured at different points in time using technology such as LiDAR, large collections of 3D point clouds result. Their efficient storage, processing, analysis, and presentation constitute a challenging task because of limited computation, memory, and time resources. In this work, we present an approach to detect changes in massive 3D point clouds based on an out-of-core spatial data structure that is designed to store data acquired at different points in time and to efficiently attribute 3D points with distance information. Based on this data structure, we present and evaluate different processing schemes optimized for performing the calculation on the CPU and GPU. In addition, we present a point-based rendering technique adapted for attributed 3D point clouds, to enable effective out-of-core real-time visualization of the computation results. Our approach enables conclusions to be drawn about temporal changes in large highly accurate 3D geodata sets of a captured area at reasonable preprocessing and rendering times. We evaluate our approach with two data sets from different points in time for the urban area of a city, describe its characteristics, and report on applications. Numéro de notice : A2013-579 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1111/j.1467-9671.2012.01362.x Date de publication en ligne : 05/12/2012 En ligne : https://doi.org/10.1111/j.1467-9671.2012.01362.x Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32715
in Transactions in GIS > vol 17 n° 5 (October 2013) . - pp 724 - 741[article]One billion points in the cloud – an octree for efficient processing of 3D laser scans / Jan Elseberg in ISPRS Journal of photogrammetry and remote sensing, vol 76 (February 2013)PermalinkVisualisation 3D de terrain texturé : préservation au niveau du pixel des qualités géométriques et colorimétriques, une méthode temps réel, innovante et simple / T.V. Lê in Revue internationale de géomatique, vol 22 n° 3 (septembre - novembre 2012)PermalinkPermalinkSatellite navigation evolution: the software GNSS receiver / G. Macgougan in GPS world, vol 16 n° 1 (January 2005)PermalinkThe BCS [British Computer Society] glossary of ICT [information and Communications Technology] and computing terms / A. Burdett (2005)PermalinkApplication of snakes and dynamic programming optimisation technique in modeling of buildings in informal settlement areas / H. Ruther in ISPRS Journal of photogrammetry and remote sensing, vol 56 n° 4 (July - August 2002)PermalinkDigital plotters : current status and future developments / Ian J. Dowman in Photogrammetric record, vol 13 n° 75 (April - September 1990)PermalinkA declarative spatial query processor for geographic information systems / S. Menon in Photogrammetric Engineering & Remote Sensing, PERS, vol 55 n° 11 (november 1989)PermalinkLa Bible / M. Tischer (1989)PermalinkFast maximum likelihood classification of remotely-sensed imagery / J.J. Settle in International Journal of Remote Sensing IJRS, vol 8 n° 5 (May 1987)PermalinkBase de données et intelligence artificielle, Actes des Journées Firtech, systèmes et télématique / Méthodologie et Architecture des Systèmes Informatiques (1987)PermalinkBlock adjustment with array and vector processors / I. Baz in Photogrammetric record, vol 11 n° 65 (April - September 1985)PermalinkTemps de réponse des réseaux informatiques / R. Eichaker (1984)Permalink