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Efficient maximal reverse skyline query processing / Farnoush Banaei-Kashani in Geoinformatica, vol 21 n° 3 (July - September 2017)
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Titre : Efficient maximal reverse skyline query processing Type de document : Article/Communication Auteurs : Farnoush Banaei-Kashani, Auteur ; Parisa Ghaemi, Auteur ; Bahman Movaqar, Auteur ; Seyed Jalal Kazemitabar, Auteur Année de publication : 2017 Article en page(s) : pp 549 - 572 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Bases de données localisées
[Termes IGN] analyse multicritère
[Termes IGN] espace métrique
[Termes IGN] jeu de données localisées
[Termes IGN] opérateur skyline
[Termes IGN] requête (informatique)
[Termes IGN] requête spatiale inverseRésumé : (Auteur) Given a set S of sites and a set O of objects in a metric space, the Optimal Location (OL) problem is about computing a location in the space where introducing a new site (e.g., a retail store) maximizes the number of the objects (e.g., customers) that would choose the new site as their “preferred” site among all sites. However, the existing solutions for the optimal location problem assume that there is only one criterion to determine the preferred site for each object, whereas with numerous real-world applications multiple criteria are used as preference measures. For example, while a single criterion solution might consider the metric distance between the customers and the retail store as the preference measure, a multi-criteria solution might consider the annual membership cost as well as the distance to the retail store to find an optimal location. In this paper, for the first time we develop an efficient and exact solution for the so-called Multi-Criteria Optimal Location (MCOL) problem that can scale with large datasets. Toward that end, first we formalize the MCOL problem as maximal reverse skyline query (MaxRSKY). Given a set of sites and a set of objects in a d-dimensional space, MaxRSKY query returns a location in the space where if a new site s is introduced, the size of the (bichromatic) reverse skyline set of s is maximal. To the best of our knowledge, this paper is the first to define and study MaxRSKY query. Accordingly, we propose a filter-based solution, termed EF-MaxRSKY, that effectively prunes the search space for efficient identification of the optimal location. Our extensive empirical analysis with both real and synthetic datasets show that EF-MaxRSKY is invariably efficient in computing answers for MaxRSKY queries with large datasets containing thousands of sites and objects. Numéro de notice : A2017-381 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1007/s10707-017-0302-5 En ligne : https://doi.org/10.1007/s10707-017-0302-5 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=85812
in Geoinformatica > vol 21 n° 3 (July - September 2017) . - pp 549 - 572[article]Extrapolated georeferencing of high-resolution satellite imagery based on the strip constraint / Jinshan Cao in Photogrammetric Engineering & Remote Sensing, PERS, vol 83 n° 7 (July 2017)
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Titre : Extrapolated georeferencing of high-resolution satellite imagery based on the strip constraint Type de document : Article/Communication Auteurs : Jinshan Cao, Auteur ; Xiuxiao Yuan, Auteur ; Jianya Gong, Auteur ; Miaozhong Xu, Auteur Année de publication : 2017 Article en page(s) : pp 493 - 499 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie numérique
[Termes IGN] compensation
[Termes IGN] géoréférencement indirect
[Termes IGN] image à haute résolution
[Termes IGN] image satellite
[Termes IGN] image ZiYuan-3
[Termes IGN] modèle relationnel
[Termes IGN] point d'appuiRésumé : (auteur) Ground control points (GCPs) are necessary in order to achieve precise georeferencing of high-resolution satellite (HRS) imagery. However, measuring GCPs is costly, laborious, and time consuming. In some remote areas, we cannot even obtain well-defined GCPs. In this study, a strip constraint model is established. Based on the bias-compensated rational function model and the strip constraint model, a feasible extrapolated georeferencing approach for HRS imagery is presented. The presented approach remains effective even when the intermediate images in the strip are unavailable. Experimental results of the two ZiYuan-3 (ZY-3) nadir datasets show that the direct georeferencing accuracy of the ZY-3 nadir images reaches only 9 to 12 pixels. With four GCPs in the first image, the georeferencing accuracy of the other images in the strip is improved to better than 2 pixels through extrapolated georeferencing. Numéro de notice : A2017-433 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.83.7.493 En ligne : https://doi.org/10.14358/PERS.83.7.493 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=86337
in Photogrammetric Engineering & Remote Sensing, PERS > vol 83 n° 7 (July 2017) . - pp 493 - 499[article]A framework for interactive visual analysis of heterogeneous marine data in an integrated problem solving environment / Shuai Liu in Computers & geosciences, vol 104 (July 2017)
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Titre : A framework for interactive visual analysis of heterogeneous marine data in an integrated problem solving environment Type de document : Article/Communication Auteurs : Shuai Liu, Auteur ; Ge Chen, Auteur ; Shifeng Yao, Auteur ; Fenglin Tian, Auteur ; Wei Liu, Auteur Année de publication : 2017 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] base de données marines
[Termes IGN] carte interactive
[Termes IGN] données spatiotemporelles
[Termes IGN] environnement géographique virtuel
[Termes IGN] monde virtuel
[Termes IGN] océanographie spatiale
[Termes IGN] positionnement par Argos
[Termes IGN] visualisation de données
[Vedettes matières IGN] GéovisualisationRésumé : (auteur) This paper presents a novel integrated marine visualization framework which focuses on processing, analyzing the multi-dimension spatiotemporal marine data in one workflow. Effective marine data visualization is needed in terms of extracting useful patterns, recognizing changes, and understanding physical processes in oceanography researches. However, the multi-source, multi-format, multi-dimension characteristics of marine data pose a challenge for interactive and feasible (timely) marine data analysis and visualization in one workflow. And, global multi-resolution virtual terrain environment is also needed to give oceanographers and the public a real geographic background reference and to help them to identify the geographical variation of ocean phenomena. This paper introduces a data integration and processing method to efficiently visualize and analyze the heterogeneous marine data. Based on the data we processed, several GPU-based visualization methods are explored to interactively demonstrate marine data. GPU-tessellated global terrain rendering using ETOPO1 data is realized and the video memory usage is controlled to ensure high efficiency. A modified ray-casting algorithm for the uneven multi-section Argo volume data is also presented and the transfer function is designed to analyze the 3D structure of ocean phenomena. Based on the framework we designed, an integrated visualization system is realized. The effectiveness and efficiency of the framework is demonstrated. This system is expected to make a significant contribution to the demonstration and understanding of marine physical process in a virtual global environment. Numéro de notice : A2017-128 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.cageo.2017.03.021 En ligne : http://doi.org/10.1016/j.cageo.2017.03.021 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=84543
in Computers & geosciences > vol 104 (July 2017)[article]Index-supported pattern matching on tuples of time-dependent values / Fabio Valdés in Geoinformatica, vol 21 n° 3 (July - September 2017)
[article]
Titre : Index-supported pattern matching on tuples of time-dependent values Type de document : Article/Communication Auteurs : Fabio Valdés, Auteur ; Ralf Hartmut Güting, Auteur Année de publication : 2017 Article en page(s) : pp 429 - 458 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique
[Termes IGN] appariement de données localisées
[Termes IGN] appariement de modèles conceptuels de données
[Termes IGN] attribut sémantique
[Termes IGN] base de données orientée objet
[Termes IGN] données géologiques
[Termes IGN] données maillées
[Termes IGN] données spatiotemporelles
[Termes IGN] index spatial
[Termes IGN] objet mobile
[Termes IGN] reconstruction d'itinéraire ou de trajectoire
[Termes IGN] Rome
[Termes IGN] trace GPS
[Termes IGN] traitement de données localisées
[Termes IGN] transport routierRésumé : (Auteur) Lately, the amount of mobility data recorded by GPS-enabled (and other) devices has increased drastically, entailing the necessity of efficient processing and analysis methods. In many cases, not only the geographic position, but also additional time-dependent information are traced and/or generated, according to the purpose of the evaluation. For example, in the field of animal behavior research, besides the position of the monitored animal, biologists are interested in further data like the altitude or the temperature at every measuring point. Other application domains comprise the names of streets, places of interest, or transportation modes that can be recorded along with the geographic position of a person. In this paper, we present in detail a framework for analyzing datasets with arbitrarily many time-dependent attributes. This can be considered as a major extension of our previous work, a comprehensive framework for pattern matching on symbolic trajectories with index support. For an efficient processing of different data types, a variable number of indexes of four different types that correspond to the data types of the attributes are applied. We demonstrate the expressiveness and efficiency of our approach by querying a real dataset representing taxi trips in Rome and, particularly, with a broad series of experiments using trajectories generated by BerlinMOD combined with geological raster data. Numéro de notice : A2017-377 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1007/s10707-016-0286-6 En ligne : https://doi.org/10.1007/s10707-016-0286-6 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=85809
in Geoinformatica > vol 21 n° 3 (July - September 2017) . - pp 429 - 458[article]Popularity-aware collective keyword queries in road networks / Sen Zhao in Geoinformatica, vol 21 n° 3 (July - September 2017)
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Titre : Popularity-aware collective keyword queries in road networks Type de document : Article/Communication Auteurs : Sen Zhao, Auteur ; Xiang Cheng, Auteur ; Sen Su, Auteur ; Kai Shuang, Auteur Année de publication : 2017 Article en page(s) : pp 485 - 518 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique web
[Termes IGN] graphe
[Termes IGN] langage de requête
[Termes IGN] langage naturel (informatique)
[Termes IGN] point d'intérêt
[Termes IGN] positionnement automatique
[Termes IGN] requête (informatique)
[Termes IGN] réseau routierRésumé : (Auteur) This paper addresses a popularity-aware collective keyword (PAC-K) query in road networks. Given a road network with POIs (Points of Interest), which is modeled as a road network graph, where each node locating in a two-dimensional space represents a road intersection or a POI, and each edge with weight represents a road segment, the PACK query aims to find a group of popular POIs (i.e., a popular region) that cover the query’s keywords and satisfy the distance requirements from each node to the query node and between each pair of nodes, such that the sum of rating scores over these nodes for the query keywords is maximized. We show the problem of answering the PACK query is NP-Hard. To solve this problem, we present exact and heuristic solutions on small and large road networks, respectively. In particular, to improve query performance, we propose a rating score scaling technique to reduce the search space and a redundant computation reducing technique to reduce the excessive redundant computations in query processing. Extensive performance studies using two real datasets confirm the efficiency, accuracy, and scalability of the proposed solutions. Numéro de notice : A2017-378 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1007/s10707-017-0299-9 En ligne : https://doi.org/10.1007/s10707-017-0299-9 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=85810
in Geoinformatica > vol 21 n° 3 (July - September 2017) . - pp 485 - 518[article]Ripe for the picking? Dataset maturity assessment based on temporal dynamics of feature definitions / Stephen Maguire in International journal of geographical information science IJGIS, vol 31 n° 7-8 (July - August 2017)Permalinkvol 21 n° 3 - July - September 2017 - Special issue [included] on Map interaction (Bulletin de Geoinformatica) / Christian KrayPermalinkAccuracy accelerated / John Stenmark in GEO: Geoconnexion international, vol 16 n° 6 (June2017)PermalinkKnowledge-based data enrichment for HBIM: Exploring high-quality models using the semantic-web / Ramona Quattrini in Journal of Cultural Heritage, vol 28 (November–December 2017)PermalinkVerification and updating of the database of topographic objects with geometric information about buildings by means of airborne laser scanning dataeans of Airborne Laser Scanning Data / Małgorzata Mendela-Anzlik in Reports on geodesy and geoinformatics, vol 103 n° 1 (June 2017)PermalinkDisocclusion of 3D LiDAR point clouds using range images / Pierre Biasutti in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol IV-1/W1 (May 2017)PermalinkGeometric features and their relevance for 3D point cloud classification / Martin Weinmann in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol IV-1/W1 (May 2017)PermalinkSpatial query based virtual reality GIS analysis platform / Weixi Wang in Neurocomputing, vol (2017)PermalinkAdvancing science with VGI: Reproducibility and replicability of recent studies / Franck O. Ostermann in Transactions in GIS, vol 21 n° 2 (April 2017)PermalinkDesign principles of a stream-based framework for mobility analysis / Loic Salmon in Geoinformatica, vol 21 n° 2 (April - June 2017)PermalinkDistributed processing of big mobility data as spatio-temporal data streams / Zdravko Galić in Geoinformatica, vol 21 n° 2 (April - June 2017)PermalinkPanda∗: A generic and scalable framework for predictive spatio-temporal queries / Abdeltawab M. Hendawi in Geoinformatica, vol 21 n° 2 (April - June 2017)PermalinkRecherche des objets mobiles dans les réseaux routiers : Une approche basée sur l’analyse formelle de concepts / Hafedh Ferchichi in Revue internationale de géomatique, vol 27 n° 2 (avril - juin 2017)PermalinkA virtual globe-based visualization and interactive framework for a small craft navigation assistance system in the near sea / Xinzhu Liu in Journal of Traffic and Transportation Engineering (English Edition), n° (April 2017)PermalinkLa BD Topage prend source / Marielle Mayo in Géomètre, n° 2145 (mars 2017)PermalinkImage-based target detection and radial velocity estimation methods for multichannel SAR-GMTI / Kei Suwa in IEEE Transactions on geoscience and remote sensing, vol 55 n° 3 (March 2017)PermalinkVisual exploration of movement and event data with interactive time masks / Natalia Andrienko in Visual Informatics, vol 1 n° 1 (March 2017)PermalinkAerial lidar point cloud voxelization with its 3D ground filtering application / Liying Wang in Photogrammetric Engineering & Remote Sensing, PERS, vol 83 n° 2 (February 2017)PermalinkDelineation of groundwater potential zones using remote sensing and GIS-based data-driven models / Samira Ghorbani Nejad in Geocarto international, vol 32 n° 2 (February 2017)PermalinkPermalink