Descripteur
Termes IGN > géomatique > base de données localisées > modèle conceptuel de données localisées > représentation multiple
représentation multipleSynonyme(s)représentation multi-echelleVoir aussi |
Documents disponibles dans cette catégorie (122)
Ajouter le résultat dans votre panier
Visionner les documents numériques
Affiner la recherche Interroger des sources externes
Etendre la recherche sur niveau(x) vers le bas
Learning high-level features by fusing multi-view representation of MLS point clouds for 3D object recognition in road environments / Zhipeng Luo in ISPRS Journal of photogrammetry and remote sensing, vol 150 (April 2019)
[article]
Titre : Learning high-level features by fusing multi-view representation of MLS point clouds for 3D object recognition in road environments Type de document : Article/Communication Auteurs : Zhipeng Luo, Auteur ; Jonathan Li, Auteur ; Zhenlong Xiao, Auteur ; et al., Auteur Année de publication : 2019 Article en page(s) : pp 44 - 58 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] apprentissage profond
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] extraction de traits caractéristiques
[Termes IGN] fusion de données
[Termes IGN] jointure spatiale
[Termes IGN] objet 3D
[Termes IGN] reconnaissance d'objets
[Termes IGN] représentation multiple
[Termes IGN] réseau neuronal convolutif
[Termes IGN] semis de pointsRésumé : (Auteur) Most existing 3D object recognition methods still suffer from low descriptiveness and weak robustness although remarkable progress has made in 3D computer vision. The major challenge lies in effectively mining high-level 3D shape features. This paper presents a high-level feature learning framework for 3D object recognition through fusing multiple 2D representations of point clouds. The framework has two key components: (1) three discriminative low-level 3D shape descriptors for obtaining multi-view 2D representation of 3D point clouds. These descriptors preserve both local and global spatial relationships of points from different perspectives and build a bridge between 3D point clouds and 2D Convolutional Neural Networks (CNN). (2) A two-stage fusion network, which consists of a deep feature learning module and two fusion modules, for extracting and fusing high-level features. The proposed method was tested on three datasets, one of which is Sydney Urban Objects dataset and the other two were acquired by a mobile laser scanning (MLS) system along urban roads. The results obtained from comprehensive experiments demonstrated that our method is superior to the state-of-the-art methods in descriptiveness, robustness and efficiency. Our method achieves high recognition rates of 94.6%, 93.1% and 74.9% on the above three datasets, respectively. Numéro de notice : A2019-137 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2019.01.024 Date de publication en ligne : 16/02/2019 En ligne : https://doi.org/10.1016/j.isprsjprs.2019.01.024 Format de la ressource électronique : URL Article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=92468
in ISPRS Journal of photogrammetry and remote sensing > vol 150 (April 2019) . - pp 44 - 58[article]Exemplaires(3)
Code-barres Cote Support Localisation Section Disponibilité 081-2019041 RAB Revue Centre de documentation En réserve L003 Disponible 081-2019043 DEP-RECP Revue LASTIG Dépôt en unité Exclu du prêt 081-2019042 DEP-RECF Revue Nancy Dépôt en unité Exclu du prêt
Titre : Finding the oasis in the desert fog? Understanding multi-scale map reading Type de document : Article/Communication Auteurs : Guillaume Touya , Auteur Editeur : International Cartographic Association ICA - Association cartographique internationale ACI Année de publication : 2019 Projets : 1-Pas de projet / Conférence : ICC 2019 Workshop on Abstraction, Scale and Perception 15/07/2019 15/07/2019 Tokyo France Open Access Proceedings Importance : 3 p. Note générale : Bibliographie
sur HAL https://hal.archives-ouvertes.fr/hal-02266373Langues : Anglais (eng) Descripteur : [Termes IGN] échelle cartographique
[Termes IGN] généralisation cartographique automatisée
[Termes IGN] représentation mentale spatiale
[Termes IGN] représentation multiple
[Termes IGN] zoom
[Vedettes matières IGN] GéovisualisationRésumé : (Auteur) Fluid interactions of complex information visualizations promote flow by giving “a sense of control” and a loss of self-consciousness” during the interaction (Elmqvist et al., 2011).In the context of multi-scale geovisualization with different maps rendered at different zoom levels, fluid interactions mainly consist in smoothly zooming in the scales/zoom levels, while keeping a constant sense of place. User experience shows that current multi-scale maps are not provided with fluid interactions. Despite recent improvements, zooming in and out of multi-scale maps such as GoogleMaps, OSM, or National Mapping Agencies’ geoportals still causes a desert fog effect (Jul & Furnas, 1998) when the map changes. Desert fog can be defined as “a condition wherein a view of an information world contains no information on which to base navigational decisions.” In a multi-scale map, it means that the abstraction, content and style changes between two maps at different scales make the user lose his sense of place for a short moment wondering where his previous position (i.e. where he was looking at, or where his cursor was) is in the newly rendered map (Dumont et al., 2016). Contributions on continuous generalisation (van Oosterom et al., 2014), or on progressive generalisation (Dumont et al., 2017; Touya & Dumont, 2017) try to provide more continuous or progressive abstractions of map features across scales. [...] Numéro de notice : C2019-019 Affiliation des auteurs : LASTIG COGIT (2012-2019) Thématique : GEOMATIQUE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : sans Date de publication en ligne : 14/08/2019 En ligne : https://hal.science/hal-02266373 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=93598 Documents numériques
peut être téléchargé
Finding the oasis in the desert fog? - pdf éditeurAdobe Acrobat PDF A light and faster regional convolutional neural network for object detection in optical remote sensing images / Peng Ding in ISPRS Journal of photogrammetry and remote sensing, vol 141 (July 2018)
[article]
Titre : A light and faster regional convolutional neural network for object detection in optical remote sensing images Type de document : Article/Communication Auteurs : Peng Ding, Auteur ; Ye Zhang, Auteur ; Wei-Jian Deng, Auteur ; Ping Jia, Auteur ; Arjan Kuijper, Auteur Année de publication : 2018 Article en page(s) : pp 208 - 218 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] apprentissage profond
[Termes IGN] classification orientée objet
[Termes IGN] détection d'objet
[Termes IGN] image aérienne
[Termes IGN] image terrestre
[Termes IGN] représentation multiple
[Termes IGN] réseau neuronal convolutifRésumé : (auteur) Detection of objects from satellite optical remote sensing images is very important for many commercial and governmental applications. With the development of deep convolutional neural networks (deep CNNs), the field of object detection has seen tremendous advances. Currently, objects in satellite remote sensing images can be detected using deep CNNs. In general, optical remote sensing images contain many dense and small objects, and the use of the original Faster Regional CNN framework does not yield a suitably high precision. Therefore, after careful analysis we adopt dense convoluted networks, a multi-scale representation and various combinations of improvement schemes to enhance the structure of the base VGG16-Net for improving the precision. We propose an approach to reduce the test-time (detection time) and memory requirements. To validate the effectiveness of our approach, we perform experiments using satellite remote sensing image datasets of aircraft and automobiles. The results show that the improved network structure can detect objects in satellite optical remote sensing images more accurately and efficiently. Numéro de notice : A2018-288 Affiliation des auteurs : non IGN Thématique : IMAGERIE/INFORMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2018.05.005 Date de publication en ligne : 14/05/2018 En ligne : https://doi.org/10.1016/j.isprsjprs.2018.05.005 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=90403
in ISPRS Journal of photogrammetry and remote sensing > vol 141 (July 2018) . - pp 208 - 218[article]Exemplaires(3)
Code-barres Cote Support Localisation Section Disponibilité 081-2018071 RAB Revue Centre de documentation En réserve L003 Disponible 081-2018073 DEP-EXM Revue LASTIG Dépôt en unité Exclu du prêt 081-2018072 DEP-EAF Revue Nancy Dépôt en unité Exclu du prêt Synchronising geometric representations for map mashups using relative positioning and Linked Data / Weiming Huang in International journal of geographical information science IJGIS, vol 32 n° 5-6 (May - June 2018)
[article]
Titre : Synchronising geometric representations for map mashups using relative positioning and Linked Data Type de document : Article/Communication Auteurs : Weiming Huang, Auteur ; Ali Mansourian, Auteur ; Ehsan Abdolmajidi, Auteur ; Haiqi Xu, Auteur ; Lars Harrie, Auteur Année de publication : 2018 Article en page(s) : pp 1117 - 1137 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique web
[Termes IGN] application composite
[Termes IGN] géovisualisation
[Termes IGN] modèle conceptuel de données localisées
[Termes IGN] positionnement différentiel
[Termes IGN] représentation multiple
[Termes IGN] SPARQL
[Termes IGN] synchronisation
[Termes IGN] web des donnéesRésumé : (Auteur) Map mashups, as a common way of presenting geospatial information on the Web, are generally created by spatially overlaying thematic information on top of various base maps. This simple overlay approach often raises geometric deficiencies due to geometric uncertainties in the data. This issue is particularly apparent in a multi-scale context because the thematic data seldom have synchronised level of detail with the base map. In this study, we propose, develop, implement and evaluate a relative positioning approach based on shared geometries and relative coordinates to synchronise geometric representations for map mashups through several scales. To realise the relative positioning between datasets, we adopt a Linked Data–based technical framework in which the data are organised according to ontologies that are designed based on the GeoSPARQL vocabulary. A prototype system is developed to demonstrate the feasibility and usability of the relative positioning approach. The results show that the approach synchronises and integrates the geometries of thematic data and the base map effectively, and the thematic data are automatically tailored for multi-scale visualisation. The proposed framework can be used as a new way of modelling geospatial data on the Web, with merits in terms of both data visualisation and querying. Numéro de notice : A2018-201 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/INFORMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/13658816.2018.1441416 Date de publication en ligne : 01/03/2018 En ligne : https://doi.org/10.1080/13658816.2018.1441416 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=89870
in International journal of geographical information science IJGIS > vol 32 n° 5-6 (May - June 2018) . - pp 1117 - 1137[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 079-2018031 RAB Revue Centre de documentation En réserve L003 Disponible Progressive amalgamation of building clusters for map generalization based on scaling subgroups / Xianjin He in ISPRS International journal of geo-information, vol 7 n° 3 (March 2018)
[article]
Titre : Progressive amalgamation of building clusters for map generalization based on scaling subgroups Type de document : Article/Communication Auteurs : Xianjin He, Auteur ; Xinchang Zhang, Auteur ; Jie Yang, Auteur Année de publication : 2018 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] approche hiérarchique
[Termes IGN] généralisation du bâti
[Termes IGN] regroupement de données
[Termes IGN] représentation multiple
[Vedettes matières IGN] GénéralisationRésumé : (Auteur) Map generalization utilizes transformation operations to derive smaller-scale maps from larger-scale maps, and is a key procedure for the modelling and understanding of geographic space. Studies to date have largely applied a fixed tolerance to aggregate clustered buildings into a single object, resulting in the loss of details that meet cartographic constraints and may be of importance for users. This study aims to develop a method that amalgamates clustered buildings gradually without significant modification of geometry, while preserving the map details as much as possible under cartographic constraints. The amalgamation process consists of three key steps. First, individual buildings are grouped into distinct clusters by using the graph-based spatial clustering application with random forest (GSCARF) method. Second, building clusters are decomposed into scaling subgroups according to homogeneity with regard to the mean distance of subgroups. Thus, hierarchies of building clusters can be derived based on scaling subgroups. Finally, an amalgamation operation is progressively performed from the bottom-level subgroups to the top-level subgroups using the maximum distance of each subgroup as the amalgamating tolerance instead of using a fixed tolerance. As a consequence of this step, generalized intermediate scaling results are available, which can form the multi-scale representation of buildings. The experimental results show that the proposed method can generate amalgams with correct details, statistical area balance and orthogonal shape while satisfying cartographic constraints (e.g., minimum distance and minimum area). Numéro de notice : A2018-102 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.3390/ijgi7030116 En ligne : https://doi.org/10.3390/ijgi7030116 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=89517
in ISPRS International journal of geo-information > vol 7 n° 3 (March 2018)[article]Labelling hierarchy for street maps using centrality measures / Wasim Shoman in Cartographic journal (the), vol 55 n° 1 (February 2018)PermalinkGénéralisation de représentations intermédiaires dans une carte topographique multi-échelle pour faciliter la navigation de l’utilisateur / Marion Dumont (2018)PermalinkPermalinkSimulation de formes réalistes de développement résidentiel, de l'échelle du bâtiment à celle de l'ensemble d'une région urbaine / Maxime Colomb (2018)PermalinkPermalinkFourier-based multi-scale representation and progressive transmission of cartographic curves on the internet / Pengcheng Liu in Cartography and Geographic Information Science, vol 43 n° 5 (November 2016)PermalinkRelevé topographique des environnements urbains [article originellement paru dans le numéro mai/juin 2016 de la revue italienne GEOMedia] / Luigi Colombo in Géomatique expert, n° 113 (novembre - décembre 2016)PermalinkAn improved LOD specification for 3D building models / Filip Biljecki in Computers, Environment and Urban Systems, vol 59 (September 2016)PermalinkModelling the spatial evolution of map objects by map agents / Shen Ying in Geocarto international, vol 31 n° 3 - 4 (March - April 2016)PermalinkAssessing the variation of visual complexity in multi-scale maps with clutter measures / Marion Dumont (2016)Permalink