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Parallel indexing technique for spatio-temporal data / Zhenwen He in ISPRS Journal of photogrammetry and remote sensing, vol 78 (April 2013)
[article]
Titre : Parallel indexing technique for spatio-temporal data Type de document : Article/Communication Auteurs : Zhenwen He, Auteur ; Menno-Jan Kraak, Auteur ; Otto Huisman, Auteur Année de publication : 2013 Article en page(s) : pp 116 - 128 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique
[Termes IGN] arbre-R
[Termes IGN] données hétérogènes
[Termes IGN] données spatiotemporelles
[Termes IGN] indexation spatiale
[Termes IGN] requête spatiotemporelle
[Termes IGN] système d'information géographique
[Termes IGN] traitement parallèleRésumé : (Auteur) The requirements for efficient access and management of massive multi-dimensional spatio-temporal data in geographical information system and its applications are well recognized and researched. The most popular spatio-temporal access method is the R-Tree and its variants. However, it is difficult to use them for parallel access to multi-dimensional spatio-temporal data because R-Trees, and variants thereof, are in hierarchical structures which have severe overlapping problems in high dimensional space. We extended a two-dimensional interval space representation of intervals to a multi-dimensional parallel space, and present a set of formulae to transform spatio-temporal queries into parallel interval set operations. This transformation reduces problems of multi-dimensional object relationships to simpler two-dimensional spatial intersection problems. Experimental results show that the new parallel approach presented in this paper has superior range query performance than R*-trees for handling multi-dimensional spatio-temporal data and multi-dimensional interval data. When the number of CPU cores is larger than that of the space dimensions, the insertion performance of this new approach is also superior to R*-trees. The proposed approach provides a potential parallel indexing solution for fast data retrieval of massive four-dimensional or higher dimensional spatio-temporal data. Numéro de notice : A2013-182 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2013.01.014 En ligne : https://doi.org/10.1016/j.isprsjprs.2013.01.014 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32320
in ISPRS Journal of photogrammetry and remote sensing > vol 78 (April 2013) . - pp 116 - 128[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 081-2013041 RAB Revue Centre de documentation En réserve L003 Disponible A multi-granularity parallel model for unified remote sensing image processing webservices / W. Guo in Transactions in GIS, vol 16 n° 6 (December 2012)
[article]
Titre : A multi-granularity parallel model for unified remote sensing image processing webservices Type de document : Article/Communication Auteurs : W. Guo, Auteur ; Xinyan Zhu, Auteur ; Tao Hu, Auteur ; Liwei Fan, Auteur Année de publication : 2012 Article en page(s) : pp 845 - 866 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique web
[Termes IGN] granularité d'image
[Termes IGN] informatique en nuage
[Termes IGN] logiciel libre
[Termes IGN] partage de données localisées
[Termes IGN] plateforme logicielle
[Termes IGN] processus spatio-temorel
[Termes IGN] service web géographique
[Termes IGN] traitement d'image
[Termes IGN] traitement parallèleRésumé : (Auteur) The growth of the Web has resulted in the Web-based sharing of distributed geospatial data and computational resources. The Geospatial Processing Web (GeoPW) described here is a set of services that provide a wide array of geo-processing utilities over the Web and make geo-processing functionalities easily accessible to users. High-performance remote sensing image processing is an important component of the GeoPW. The design and implementation of high-performance image processing are, at present, an actively pursued research topic. Researchers have proposed various parallel strategies for single image processing algorithm, based on a computer science approach to parallel processing. This article proposes a multi-granularity parallel model for various remote sensing image processing algorithms. This model has four hierarchical interfaces that are labeled the Region of Interest oriented (ROI-oriented), Decompose/Merge, Hierarchical Task Chain and Dynamic Task interfaces or sub-models. In addition, interfaces, definitions, parallel task scheduling and fault-tolerance mechanisms are described in detail. Based on the model and methods, we propose an open-source online platform named OpenRS-Cloud. A number of parallel algorithms were uniformly and efficiently developed, thus certifying the validity of the multi-granularity parallel model for unified remote sensing image processing web services. Numéro de notice : A2012-618 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1111/j.1467-9671.2012.01367.x En ligne : https://doi.org/10.1111/j.1467-9671.2012.01367.x Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32064
in Transactions in GIS > vol 16 n° 6 (December 2012) . - pp 845 - 866[article]Efficient parallel algorithm for pixel classification in remote sensing imagery / U. Maulik in Geoinformatica, vol 16 n° 2 (April 2012)
[article]
Titre : Efficient parallel algorithm for pixel classification in remote sensing imagery Type de document : Article/Communication Auteurs : U. Maulik, Auteur ; A. Sarkar, Auteur Année de publication : 2012 Article en page(s) : pp 391 - 407 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse de groupement
[Termes IGN] classification barycentrique
[Termes IGN] classification dirigée
[Termes IGN] image IRS
[Termes IGN] image SPOT
[Termes IGN] pixel
[Termes IGN] traitement parallèleRésumé : (Auteur) An important approach for image classification is the clustering of pixels in the spectral domain. Fast detection of different land cover regions or clusters of arbitrarily varying shapes and sizes in satellite images presents a challenging task. In this article, an efficient scalable parallel clustering technique of multi-spectral remote sensing imagery using a recently developed point symmetry-based distance norm is proposed. The proposed distributed computing time efficient point symmetry based K-Means technique is able to correctly identify presence of overlapping clusters of any arbitrary shape and size, whether they are intra-symmetrical or inter-symmetrical in nature. A Kd-tree based approximate nearest neighbor searching technique is used as a speedup strategy for computing the point symmetry based distance. Superiority of this new parallel implementation with the novel two-phase speedup strategy over existing parallel K-Means clustering algorithm, is demonstrated both quantitatively and in computing time, on two SPOT and Indian Remote Sensing satellite images, as even K-Means algorithm fails to detect the symmetry in clusters. Different land cover regions, classified by the algorithms for both images, are also compared with the available ground truth information. The statistical analysis is also performed to establish its significance to classify both satellite images and numeric remote sensing data sets, described in terms of feature vectors. Numéro de notice : A2012-094 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1007/s10707-011-0136-5 Date de publication en ligne : 06/09/2011 En ligne : https://doi.org/10.1007/s10707-011-0136-5 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31542
in Geoinformatica > vol 16 n° 2 (April 2012) . - pp 391 - 407[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 057-2012021 RAB Revue Centre de documentation En réserve L003 Disponible Photogrammetric processing of low-altitude images acquired by unpiloted aerial vehicles / Y. Zhang in Photogrammetric record, vol 26 n° 134 (June - August 2011)
[article]
Titre : Photogrammetric processing of low-altitude images acquired by unpiloted aerial vehicles Type de document : Article/Communication Auteurs : Y. Zhang, Auteur ; J. Xiong, Auteur ; L. Hao, Auteur Année de publication : 2011 Article en page(s) : pp 190 - 211 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie numérique
[Termes IGN] aérotriangulation numérique
[Termes IGN] altitude du capteur
[Termes IGN] compensation par faisceaux
[Termes IGN] drone
[Termes IGN] modélisation 3D
[Termes IGN] orientation du capteur
[Termes IGN] point d'appui
[Termes IGN] SIFT (algorithme)
[Termes IGN] traitement parallèle
[Termes IGN] trajectoire (véhicule non spatial)Résumé : (Auteur) Low-altitude images acquired by unpiloted aerial vehicles have the advantages of high overlap, multiple viewing angles and very high ground resolution. These kinds of images can be used in various applications that need high accuracy or fine texture. A novel approach is proposed for parallel processing of low-altitude images acquired by unpiloted aerial vehicles, which can automatically fly according to predefined flight routes under the control of an autopilot system. The general overlap and relative rotation angles between two adjacent images are estimated by overall matching with an improved scale-invariant feature transform (SIFT) operator. Precise conjugate points and relative orientation parameters are determined by a pyramid-based least squares image matching strategy and the relative orientation process. Bundle adjustment is performed with automatically matched conjugate points and interactively measured ground control points. After this aerial triangulation process the high-resolution images can be used to advantage in obtaining precise spatial information products such as digital surface models, digital orthophotomaps and 3D city models. A parallel processing strategy is introduced in this paper to improve the computational time of the photogrammetric process. Experimental results show that the proposed approaches are effective for processing low-altitude images, and have high potential for the acquisition of spatial information at large mapping scales, with rapid response and precise modelling in three dimensions. Numéro de notice : A2011-240 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1111/j.1477-9730.2011.00641.x Date de publication en ligne : 06/06/2016 En ligne : https://doi.org/10.1111/j.1477-9730.2011.00641.x Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31018
in Photogrammetric record > vol 26 n° 134 (June - August 2011) . - pp 190 - 211[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 106-2011021 RAB Revue Centre de documentation En réserve L003 Disponible Automated processing for map generation using web services / Moritz Neun in Geoinformatica, vol 13 n° 4 (December 2009)
[article]
Titre : Automated processing for map generation using web services Type de document : Article/Communication Auteurs : Moritz Neun, Auteur ; Robert Weibel, Auteur ; Dirk Burghardt, Auteur Année de publication : 2009 Article en page(s) : pp 425 - 452 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Bases de données localisées
[Termes IGN] architecture orientée services
[Termes IGN] généralisation cartographique automatisée
[Termes IGN] géomatique web
[Termes IGN] optimisation (mathématiques)
[Termes IGN] service web géographique
[Termes IGN] traitement parallèle
[Termes IGN] traitement répartiRésumé : (Auteur) In map generalization various operators are applied to the features of a map in order to maintain and improve the legibility of the map after the scale has been changed. These operators must be applied in the proper sequence and the quality of the results must be continuously evaluated. Cartographic constraints can be used to define the conditions that have to be met in order to make a map legible and compliant to the user needs. The combinatorial optimization approaches shown in this paper use cartographic constraints to control and restrict the selection and application of a variety of different independent generalization operators into an optimal sequence. Different optimization techniques including hill climbing, simulated annealing and genetic deep search are presented and evaluated experimentally by the example of the generalization of buildings in blocks. All algorithms used in this paper have been implemented in a web services framework. This allows the use of distributed and parallel processing in order to speed up the search for optimized generalization operator sequences. Copyright Springer Numéro de notice : A2009-334 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/INFORMATIQUE Nature : Article DOI : 10.1007/s10707-008-0054-3 En ligne : https://doi.org/10.1007/s10707-008-0054-3 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29964
in Geoinformatica > vol 13 n° 4 (December 2009) . - pp 425 - 452[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 057-09041 RAB Revue Centre de documentation En réserve L003 Disponible Processeurs multicoeurs et parallélisme (Seconde partie) / Anonyme in Géomatique expert, n° 69 (juin - juillet 2009)PermalinkTeraGrid GIScience Gateway: Bridging cyberinfrastructure and GIScience / Shaowen Wang in International journal of geographical information science IJGIS, vol 23 n° 5 (may 2009)PermalinkProcesseurs multicoeurs et parallélisme (Première partie) / Anonyme in Géomatique expert, n° 67 (01/02/2009)PermalinkA theoretical approach to the use of cyberinfrastructure in geographical analysis / Shaowen Wang in International journal of geographical information science IJGIS, vol 23 n° 1-2 (january 2009)PermalinkAn automatic nonlinear correlation approach for processing of hyperspectral images / R.N. Ingram in International Journal of Remote Sensing IJRS, vol 25 n° 22 (November 2004)PermalinkDatabase and expert systems applications, 15th International Conference, DEXA 2004, Zaragoza, Spain, August/September 2004 / Fernando Galindo (2004)PermalinkA software framework to create vector-topology in parallel GIS operations / M.J. Mineter in International journal of geographical information science IJGIS, vol 17 n° 3 (may 2003)PermalinkReconstruction tridimensionnelle à partir d'une séquence d'images : application à l'imagerie aérienne / Brigitte Géraud (1999)PermalinkParallel processing algorithms for GIS / Richard G. Healey (1998)PermalinkProceedings of the 10th International Conference on Scientific and Statistical Database Management, July 01 - 03, 1998 / Maurizio Rafanelli (1998)Permalink