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Interpreting motion events of pairs of moving objects / B. Gottfried in Geoinformatica, vol 15 n° 2 (April 2011)
[article]
Titre : Interpreting motion events of pairs of moving objects Type de document : Article/Communication Auteurs : B. Gottfried, Auteur Année de publication : 2011 Article en page(s) : pp 247 - 271 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale
[Termes IGN] analyse spatiale
[Termes IGN] données localisées
[Termes IGN] langage de modélisation
[Termes IGN] objet géographique ponctuel
[Termes IGN] objet mobile
[Termes IGN] raisonnement spatialRésumé : (Auteur) When accumulating large quantities of positional data with ubiquitous positioning techniques, methods are required that can efficiently make use of these data. This work proposes a representation that approximates motion events of pairs of objects. It is shown how the employment of formal grammars enables the interpretation of such motion events. This is accomplished by composing motion patterns into specific qualitative features. In particular, the change of relative directions defines characteristic motion events. Numéro de notice : A2011-086 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1007/s10707-009-0095-2 Date de publication en ligne : 08/10/2009 En ligne : https://doi.org/10.1007/s10707-009-0095-2 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30866
in Geoinformatica > vol 15 n° 2 (April 2011) . - pp 247 - 271[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 057-2011021 RAB Revue Centre de documentation En réserve L003 Disponible Weka-STPM: a software architecture and prototype for semantic trajectory data mining and visualization / Vania Bogorny in Transactions in GIS, vol 15 n° 2 (April 2011)
[article]
Titre : Weka-STPM: a software architecture and prototype for semantic trajectory data mining and visualization Type de document : Article/Communication Auteurs : Vania Bogorny, Auteur ; H. Avancini, Auteur ; et al., Auteur Année de publication : 2011 Article en page(s) : pp 227 - 248 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] analyse géovisuelle
[Termes IGN] architecture logicielle
[Termes IGN] exploration de données géographiques
[Termes IGN] positionnement par GPS
[Termes IGN] téléphonie mobile
[Termes IGN] trace numérique
[Termes IGN] trajectoire (véhicule non spatial)
[Termes IGN] trajet (mobilité)
[Termes IGN] visualisation de données
[Vedettes matières IGN] GéovisualisationRésumé : (Auteur) Enormous quantities of trajectory data are collected from many sources, such as GPS devices and mobile phones, as sequences of spatio-temporal points. These data can be used in many application domains such as traffic management, urban planning, tourism, bird migration, and so on. Raw trajectory data, as generated by mobile devices have very little or no semantics, and in most applications a higher level of abstraction is needed to exploit these data for decision making. Although several different methods have been proposed so far for trajectory querying and mining, there are no software tools to help the end user with semantic trajectory data analysis. In this article we present a software architecture for semantic trajectory data mining as well as the first software prototype to enrich trajectory data with both semantic information and data mining. As a prototype we extend the Weka data mining toolkit with the module Weka-STPM, which is interoperable with databases constructed under OGC specifications. We tested Weka-STPM with real geographic databases, and trajectory data stored under the Postgresql/PostGIS DBMS. Numéro de notice : A2011-107 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1111/j.1467-9671.2011.01246.x Date de publication en ligne : 04/04/2011 En ligne : https://doi.org/10.1111/j.1467-9671.2011.01246.x Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30887
in Transactions in GIS > vol 15 n° 2 (April 2011) . - pp 227 - 248[article]Automatic reasoning for geometric constraints in 3D city models with uncertain observations / S. Loch-Dehbi in ISPRS Journal of photogrammetry and remote sensing, vol 66 n° 2 (March - April 2011)
[article]
Titre : Automatic reasoning for geometric constraints in 3D city models with uncertain observations Type de document : Article/Communication Auteurs : S. Loch-Dehbi, Auteur ; L. Plumer, Auteur Année de publication : 2011 Article en page(s) : pp 177 - 187 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] contrainte géométrique
[Termes IGN] géométrie projective
[Termes IGN] hauteur du bâti
[Termes IGN] incertitude géométrique
[Termes IGN] modèle 3D de l'espace urbain
[Termes IGN] modélisation 3D
[Termes IGN] moteur d'inférence
[Termes IGN] Ploynôme
[Termes IGN] programmation par contraintes
[Termes IGN] reconstruction 3D du bâti
[Termes IGN] semis de pointsRésumé : (Auteur) This paper presents a novel approach to automated geometric reasoning for 3D building models. Geometric constraints like orthogonality or parallelity play a prominent role in man-made objects such as buildings. Thus, constraint based modelling, that specifies buildings by their individual components and the constraints between them, is a common approach in 3D city models. Since prototyped building models allow one to incorporate a priori knowledge they support the 3D reconstruction of buildings from point clouds and allow the construction of virtual cities. However, high level building models have a high degree of complexity and consequently are not easily manageable. Interactive tools are needed which facilitate the development of consistent models that, for instance, do not entail internal logical contradictions. Furthermore, there is often an interest in a compact, redundancy-free representation. We propose an approach that uses algebraic methods to prove that a constraint is deducible from a set of premises. While automated reasoning in 2D models is practical, a substantial increase in complexity can be observed in the transition to the three-dimensional space. Apart from that, algebraic theorem provers are restricted to crisp constraints so far. Thus, they are unable to handle quality issues, which are, however, an important aspect of GIS data and models. In this article we present an approach to automatic 3D reasoning which explicitly addresses uncertainty. Hereby, our aim is to support the interactive modelling of 3D city models and the automatic reconstruction of buildings. Geometric constraints are represented by multivariate polynomials whereas algebraic reasoning is based on Wu’s method of pseudodivision and characteristic sets. The reasoning process is further supported by logical inference rules. In order to cope with uncertainty and to address quality issues the reasoner integrates uncertain projective geometry and statistical hypothesis tests. Consequently, it allows one to derive uncertain conclusions from uncertain premises. The quality of such conclusions is quantified in a way which is sound both from a logical and a statistical perspective. Numéro de notice : A2011-071 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2010.12.003 En ligne : https://doi.org/10.1016/j.isprsjprs.2010.12.003 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30852
in ISPRS Journal of photogrammetry and remote sensing > vol 66 n° 2 (March - April 2011) . - pp 177 - 187[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 081-2011021 SL Revue Centre de documentation Revues en salle Disponible Incremental segmentation of lidar point clouds with an octree-structured voxel space / M. Wang in Photogrammetric record, vol 26 n° 133 (March - May 2011)
[article]
Titre : Incremental segmentation of lidar point clouds with an octree-structured voxel space Type de document : Article/Communication Auteurs : M. Wang, Auteur ; Yi-Hsing Tseng, Auteur Année de publication : 2011 Article en page(s) : pp 32 - 57 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] coplanarité
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] octree
[Termes IGN] reconstruction d'objet
[Termes IGN] segmentation
[Termes IGN] semis de points
[Termes IGN] voxelRésumé : (Auteur) Lidar (light detection and ranging) data implicitly contains abundant three-dimensional spatial information. The segmentation of lidar point clouds is the key procedure for transforming implicit spatial information into explicit spatial information. Common criteria used for point cloud segmentation are proximity and coherence of point distribution. An effective segmentation algorithm may apply various steps or combinations of criteria depending on the application. This paper proposes a four-step segmentation method for lidar point clouds to deliver incremental segmentation results. Segmentation results of each step can provide the fundamental data for the next step. In the first step, the input point cloud is organised into an octree-structured voxel space, in which the point neighbourhood is established. In the second step, connected voxels which are not empty are grouped to obtain grouped points based on proximity. The third step is a coplanar point segmentation based on both coherence and proximity, which was performed on each point group obtained in the second step. Finally, neighbouring coplanar point groups are merged into “co-surface” point groups based on the criteria of plane connection and intersection. This scheme enables an incremental retrieval and analysis of a large lidar data-set. Experimental results demonstrate the effectiveness of the segmentation algorithm in handling both airborne and terrestrial lidar data. It is anticipated that the incremental segmentation results will be useful for object modelling using lidar data. Numéro de notice : A2011-077 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1111/j.1477-9730.2011.00624.x Date de publication en ligne : 16/03/2011 En ligne : https://doi.org/10.1111/j.1477-9730.2011.00624.x Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30858
in Photogrammetric record > vol 26 n° 133 (March - May 2011) . - pp 32 - 57[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 106-2011011 RAB Revue Centre de documentation En réserve L003 Disponible A genetic algorithm approach to moving threshold optimization for binary change detection / J. Im in Photogrammetric Engineering & Remote Sensing, PERS, vol 77 n° 2 (February 2011)
[article]
Titre : A genetic algorithm approach to moving threshold optimization for binary change detection Type de document : Article/Communication Auteurs : J. Im, Auteur ; Zhong Lu, Auteur ; J. Jensen, Auteur Année de publication : 2011 Article en page(s) : pp 167 - 180 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] algorithme génétique
[Termes IGN] détection de changement
[Termes IGN] image Quickbird
[Termes IGN] seuillage d'imageRésumé : (Auteur) This study investigated the use of a genetic algorithm (GA) approach, a widely used optimization method, to identify optimum thresholds for remote sensing-based binary change detection. Automated GA-based calibration models using a moving threshold window (MTW) were developed and tested using a case study. Two sets of the bi-temporal QuickBird imagery were used to evaluate the new optimization models. The GA-based models using MTW were free from the assumption of symmetry of thresholds for difference- or ratio-type of change-enhanced images, unlike traditional binary change detection methods, allowing more flexibility and efficiency in selecting optimum thresholds. Exhaustive search techniques using symmetric threshold window (STW) and MTW were evaluated for comparison. The stability of the GA-based models in terms of accuracy variation was also examined. The GA-based calibration models successfully identified optimum thresholds without a significant decrease in accuracy. The GA-based models using MTW outperformed the GA-based model using STW in both calibration and validation, revealing that optimum thresholds tended to be asymmetric. Multiple change-enhanced images generally resulted in better performance than single change-enhanced images based on the GA-based models. Numéro de notice : A2011-047 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.77.2.167 En ligne : https://doi.org/10.14358/PERS.77.2.167 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30828
in Photogrammetric Engineering & Remote Sensing, PERS > vol 77 n° 2 (February 2011) . - pp 167 - 180[article]Utilisation d'une ontologie du domaine pour la découverte du contenu de bases de données géographiques / Ammar Mechouche in Revue des Nouvelles Technologies de l'Information, E.20 ([28/01/2011])PermalinkAide à l’exploration des propriétés structurelles d’un réseau de transport. Conception d’un modèle pour l’analyse, la visualisation et l’exploration d’un réseau de transport / Eric Mermet (2011)PermalinkConception de modèles et d'outils de géosimulation / Robin Cura (2011)PermalinkDelineation of impervious surface from multispectral imagery and lidar incorporating knowledge based expert system rules / K. Germaine in Photogrammetric Engineering & Remote Sensing, PERS, vol 77 n° 1 (January 2011)PermalinkA framework for regional association rule mining and scoping in spatial datasets / W. Ding in Geoinformatica, vol 15 n° 1 (January 2011)PermalinkFunctional description of geoprocessing services as conjunctive datalog queries / D. Fitzner in Geoinformatica, vol 15 n° 1 (January 2011)PermalinkA hybrid classification scheme for mining multisource geospatial data / R. Vatsavai in Geoinformatica, vol 15 n° 1 (January 2011)PermalinkJFSMA'11, dix-neuvièmes journées francophones sur les systèmes multi-agents / E. Adam (2011)PermalinkMise en place de règles cartographiques en relation avec une ontologie du domaine / Fayrouz Soualah-Alila (2011)PermalinkPermalinkParameterizing support vector machines for land cover classification / X. Yang in Photogrammetric Engineering & Remote Sensing, PERS, vol 77 n° 1 (January 2011)PermalinkPermalinkvol 15 n° 1 - January 2011 - Spatial and spatio-temporal data mining (Bulletin de Geoinformatica) / Ashok SamalPermalinkPermalinkUn système multi-agent pour l'orchestration de processus de généralisation cartographique / Guillaume Touya (2011)PermalinkTIDES, a new descriptor for time series oscillation behavior / L. Mariote in Geoinformatica, vol 15 n° 1 (January 2011)PermalinkPermalinkEqual arc ratio projection and a new spherical triangle quadtree model / Y. Wen in International journal of geographical information science IJGIS, vol 24 n°11-12 (december 2010)PermalinkLocal manifold learning-based k-Nearest-Neighbor for hyperspectral image classification / Li Ma in IEEE Transactions on geoscience and remote sensing, vol 48 n° 11 (November 2010)PermalinkAn integrated approach for visual analysis of a multisource moving objects knowledge base / N. Wllems in International journal of geographical information science IJGIS, vol 24 n° 10 (october 2010)Permalink