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Detection of potential updates of authoritative spatial databases by fusion of Volunteered Geographical Information from different sources / Stefan Ivanovic (2015)
contenu dans AGILE PhD School 2015, PhD School of the Association of Geographic Information Laboratories for Europe / Stefan Ivanovic (2015)
Titre : Detection of potential updates of authoritative spatial databases by fusion of Volunteered Geographical Information from different sources Type de document : Article/Communication Auteurs : Stefan Ivanovic (1988 - 2020) , Auteur ; Ana-Maria Olteanu-Raimond , Auteur ; Sébastien Mustière , Auteur ; Thomas Devogele , Auteur Editeur : Aix-la-Chapelle [Allemagne] : CEUR-WS Année de publication : 2015 Collection : CEUR Workshop Proceedings, ISSN 1613-0073 num. 1598 Conférence : AGILE PhD-School 2015 15/09/2015 18/09/2015 Champs-sur-Marne France open access proceedings Importance : 3 p. Format : 21 x 30 cm Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Bases de données localisées
[Termes IGN] base de données localisées
[Termes IGN] conflation
[Termes IGN] données localisées des bénévoles
[Termes IGN] mise à jour de base de donnéesNuméro de notice : C2015-009 Affiliation des auteurs : LASTIG COGIT+Ext (2012-2019) Thématique : GEOMATIQUE/INFORMATIQUE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : sans Date de publication en ligne : 02/06/2016 En ligne : http://ceur-ws.org/Vol-1598/paper15.pdf Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=81038 Documents numériques
en open access
Detection of potential updatesAdobe Acrobat PDF Les grandes étapes de la réforme du plan cadastral, vues du MEDDE / Marc Léobet in Signature, n° 56 (janvier 2015)
[article]
Titre : Les grandes étapes de la réforme du plan cadastral, vues du MEDDE Type de document : Article/Communication Auteurs : Marc Léobet, Auteur Année de publication : 2015 Article en page(s) : pp 4 - 6 Langues : Français (fre) Descripteur : [Vedettes matières IGN] Bases de données localisées
[Termes IGN] représentation parcellaire cadastrale uniqueNuméro de notice : A2015--013 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=80777
in Signature > n° 56 (janvier 2015) . - pp 4 - 6[article]Matching disparate geospatial datasets and validating matches using spatial logic / Heshan Du (2015)
Titre : Matching disparate geospatial datasets and validating matches using spatial logic Type de document : Thèse/HDR Auteurs : Heshan Du, Auteur ; Natasha Alechina, Directeur de thèse ; M.J. Jackson, Directeur de thèse Editeur : Nottingham : University of Nottingham Année de publication : 2015 Importance : 211 p. Note générale : Bibliographie
Thesis submitted to the University of Nottingham for the degree of Doctor of PhilosophyLangues : Anglais (eng) Descripteur : [Vedettes matières IGN] Bases de données localisées
[Termes IGN] appariement de données localisées
[Termes IGN] appariement géométrique
[Termes IGN] cartographie collaborative
[Termes IGN] cohérence des données
[Termes IGN] données localisées de référence
[Termes IGN] données localisées des bénévoles
[Termes IGN] données vectorielles
[Termes IGN] intégration de données
[Termes IGN] jeu de données localisées
[Termes IGN] ontologie
[Termes IGN] OpenStreetMap
[Termes IGN] Ordnance Survey (UK)
[Termes IGN] relation topologique
[Termes IGN] zone tamponRésumé : (auteur) In recent years, the emergence and development of crowd-sourced geospatial data has provided challenges and opportunities to national mapping agencies as well as commercial mapping organisations. Crowd-sourced data involves non-specialists in data collection, sharing and maintenance. Compared to authoritative geospatial data, which is collected by surveyors or other geodata professionals, crowd-sourced data is less accurate and less structured, but often provides richer user-based information and reflects real world changes more quickly at a much lower cost. In order to maximize the synergistic use of authoritative and crowd-sourced geospatial data, this research investigates the problem of how to establish and validate correspondences (matches) between spatial features from disparate geospatial datasets. To reason about and validate matches between spatial features, a series of new qualitative spatial logics was developed. Their soundness, completeness, decidability and complexity theorems were proved for models based on a metric space. A software tool `MatchMaps' was developed, which generates matches using location and lexical information, and verifies consistency of matches using reasoning in description logic and qualitative spatial logic. MatchMaps was evaluated by the author and experts from Ordnance Survey, the national mapping agency of Great Britain. In experiments, it achieved high precision and recall, as well as reduced human effort. The methodology developed and implemented in MatchMaps has a wider application than matching authoritative and crowd-sourced data and could be applied wherever it is necessary to match two geospatial datasets of vector data. Note de contenu : 1. Introduction
1.1. Research Question
1.2. Research Aim and Objectives
1.3. Contributions and Structure of the Thesis
2. Context of Research
2.1. Development of Crowd-sourced Geospatial Data
2.2. Quality of OpenStreetMap Data
2.3. Usability of OpenStreetMap Data
3. Litterature Review
3.1. Geospatial Data Matching
3.2. Ontology Matching
3.3. Spatial Logic
4. A Framework for Integrating Geospatial Datasets
4.1. Building up the Framework
4.2. Rationale of the Framework
4.3. MatchMaps: an Implemented System
5. Matching Spatial Features
5.1. Theoretical Basis for Matching Geometries
5.2. Matching Geometries
5.3. Matching Spatial Objects
6. Validating Matches using Description Logic
6.1. Description Logic ALCO
6.2. Validationg Terminology Matches using Description Logic
6.3. Validating Object Matches using Description Logic
7. A Logic of NEAR and FAR for Buffered Points
7.1. Syntax, Semantics and Axioms of LNF
7.2. Soundness and Completeness of LNF
7.3. Decidability and Complexity of LNF
7.4. Interpreting L(LNF) in R²
8. A Logic of NEAR and FAR for Buffered Geometries
8.1. Syntax, Semantics and Axioms of LNFS
8.2. Soundness and Completeness of LNFS
8.3. Decidability and Complexity of LNFS
8.4. Interpreting L(LNFS) in R²
9. A Logic of Part and Whole for Buffered Geometries
9.1. Syntax, Semantics and Axioms of LBPT
9.2. Soundness and Completeness of LBPT
9.3. Decidability and Complexity of LBPT
9.4. Interpreting L(LBPT) in R²
10. Validating Matches using Qualitative spatial Logic
10.1. Validating Matches using LNF, LNFS ans LBPT
10.2. Actions for Retracting Problematic Matches
11. Evaluation and Discussion
11.1. Developer Evaluation of MatchMaps
11.2. User Evaluation of MatchMaps
11.3. Discussion
12. Conclusion and Future Work
12.1. Conclusion
12.2. Future WorkNuméro de notice : 19794 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Thèse étrangère Note de thèse : PhD thesis : : Nottingham : 2015 Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=85041 OpenStreetMap in GIScience / Jamal Jokar Arsanjani (2015)
Titre : OpenStreetMap in GIScience : experiences, research, and applications Type de document : Monographie Auteurs : Jamal Jokar Arsanjani, Éditeur scientifique ; Alexander Zipf, Éditeur scientifique ; Peter Mooney, Éditeur scientifique ; Marco Helbich, Éditeur scientifique Editeur : Berlin, Heidelberg, Vienne, New York, ... : Springer Année de publication : 2015 Collection : Lecture notes in Geoinformation and Cartography, ISSN 1863-2246 Importance : 324 p. Format : 16 x 24 cm ISBN/ISSN/EAN : 978-3-319-14279-1 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Bases de données localisées
[Termes IGN] analyse de données
[Termes IGN] base de données foncières
[Termes IGN] cartographie collaborative
[Termes IGN] données localisées des bénévoles
[Termes IGN] données statistiques
[Termes IGN] graphe
[Termes IGN] impact social
[Termes IGN] itinéraire
[Termes IGN] modèle topologique réseau
[Termes IGN] occupation du sol
[Termes IGN] OpenStreetMap
[Termes IGN] qualité des donnéesIndex. décimale : 37.10 Bases de données géographiques Résumé : (Editeur) This edited volume presents a collection of lessons learned with, and research conducted on, OpenStreetMap, the goal being to promote the project’s integration. The respective chapters address a) state-of-the-art and cutting-edge approaches to data quality analysis in OpenStreetMap, b) investigations on understanding OpenStreetMap contributors and the nature of their contributions, c) identifying patterns of contributions and contributors, d) applications of OpenStreetMap in different domains, e) mining value-added knowledge and information from OpenStreetMap, f) limitations in the analysis OpenStreetMap data, and g) integrating OpenStreetMap with commercial and non-commercial datasets. The book offers an ideal opportunity to present and disseminate a number of cutting-edge developments and applications in the field of geography, spatial statistics, GIS, social science, and cartography. Note de contenu : Part 1 - Data management and quality
Part 2 - Social context
Part 3 - Network modeling and routing
Part 4 - Land management and urban form
Part 5 - OutlookNuméro de notice : 22415 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Recueil / ouvrage collectif Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=79437 ContientRéservation
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Titre : A pipeline of 3D scene reconstruction from point clouds Type de document : Thèse/HDR Auteurs : Lingli Zhu, Auteur ; Henrik Haggren, Directeur de thèse Editeur : Helsinki : Finnish Geodetic Institute FGI Année de publication : 2015 Collection : Publications of the Finnish Geodetic Institute, ISSN 0085-6932 num. 157 Importance : 206 p. Format : 21 x 30 cm ISBN/ISSN/EAN : 978-951-48-0246-1 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Bases de données localisées
[Termes IGN] base de données topographiques
[Termes IGN] détection d'objet
[Termes IGN] détection du bâti
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] reconstruction 3D du bâti
[Termes IGN] reconstruction de route
[Termes IGN] réseau routierRésumé : (auteur) 3D technologies are becoming increasingly popular as their applications in industrial, consumer, entertainment, healthcare, education, and governmental increase in number. According to market predictions, the total 3D modeling and mapping market is expected to grow from $1.1 billion in 2013 to $7.7 billion by 2018. Thus, 3D modeling techniques for different data sources are urgently needed.
This thesis addresses techniques for automated point cloud classification and the reconstruction of 3D scenes (including terrain models, 3D buildings and 3D road networks). First, georeferenced binary image processing techniques were developed for various point cloud classifications. Second, robust methods for the pipeline from the original point cloud to 3D model construction were proposed. Third, the reconstruction for the levels of detail (LoDs) of 1-3 (CityGML website) of 3D models was demonstrated. Fourth, different data sources for 3D model reconstruction were studied. The strengths and weaknesses of using the different data sources were addressed. Mobile laser scanning (MLS), unmanned aerial vehicle (UAV) images, airborne laser scanning (ALS), and the Finnish National Land Survey’s open geospatial data sources e.g. a topographic database, were employed as test data. Among these data sources, MLS data from three different systems were explored, and three different densities of ALS point clouds (0.8, 8 and 50 points/m2) were studied.
The results were compared with reference data such as an orthophoto with a ground sample distance of 20cm or measured reference points from existing software to evaluate their quality. The results showed that 74.6% of building roofs were reconstructed with the automated process. The resulting building models provided an average height deviation of 15 cm. A total of 6% of model points had a greater than one-pixel deviation from laser points. A total of 2.5% had a deviation of greater than two pixels. The pixel size was determined by the average distance of input laser points. The 3D roads were reconstructed with an average width deviation of 22 cm and an average height deviation of 14 cm. The results demonstrated that 93.4% of building roofs were correctly classified from sparse ALS and that 93.3% of power line points are detected from the six sets of dense ALS data located in forested areas.
This study demonstrates the operability of 3D model construction for LoDs of 1-3 via the proposed methodologies and datasets. The study is beneficial to future applications, such as 3D-model-based navigation applications, the updating of 2D topographic databases into 3D maps and rapid, large-area 3D scene reconstruction.Numéro de notice : 21975 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Thèse étrangère Note de thèse : Doctoral thesis : Geoinformatics : Aalto university : 2015 En ligne : https://aaltodoc.aalto.fi/bitstream/handle/123456789/16214/isbn9789514802478.pdf [...] Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=93653 Prise en compte des dépendances entre données thématiques utilisateur et données topographiques lors d’un changement de niveau de détail / Kusay Jaara (2015)PermalinkPermalinkUn système d'information géographique pour le suivi d'objets historiques urbaines à travers l'espace et le temps / Bertrand Duménieu (2015)PermalinkPermalinkDigging into the history of VGI data-sets: results from a worldwide study on OpenStreetMap mapping activity / Simon Gröchenig in Journal of location-based services, vol 8 n° 3 ([01/11/2014])PermalinkUtilisation de la 3D à Metz-Métropole (3) : de réelles perspectives de valorisation de la 3D / Thomas Dalstein in Géomatique expert, n° 101 (novembre - décembre 2014)PermalinkCharacterisation of building alignments with new measures using C4.5 decision tree algorithm / Sinan Cetinkaya in Geodetski vestnik, vol 58 n° 3 ([01/09/2014])PermalinkDetection of systematic displacements in spatial databases using linear elements / A. Mozas-Calvache in Cartography and Geographic Information Science, vol 41 n° 4 (September 2014)PermalinkRoad network selection for medium scales using an extended stroke-mesh combination algorithm / Stefan A. Benz in Cartography and Geographic Information Science, vol 41 n° 4 (September 2014)PermalinkUne représentation parcellaire cadastrale unique / Anonyme in Géomètre, n° 2116 (juillet - août 2014)Permalink