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Estimation of imprecision in length and area computation in vector databases including production processes description / Jean-François Girres (26/05/2010)
Titre : Estimation of imprecision in length and area computation in vector databases including production processes description Type de document : Article/Communication Auteurs : Jean-François Girres , Auteur ; Anne Ruas , Auteur Editeur : International Society for Photogrammetry and Remote Sensing ISPRS Année de publication : 26/05/2010 Collection : International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, ISSN 1682-1750 num. 38-2 Conférence : SDH 2010, 14th International Symposium on Spatial Data Handling, joint conference with ISPRS 26/05/2010 28/05/2010 Hong-Kong Hong-Kong Proceedings Springer Importance : 6 p. Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Bases de données localisées
[Termes IGN] base de connaissances
[Termes IGN] base de données vectorielles
[Termes IGN] base de règles
[Termes IGN] évaluation des données
[Termes IGN] hétérogénéité spatiale
[Termes IGN] imprécision géométrique
[Termes IGN] processus
[Termes IGN] qualité des donnéesRésumé : (Auteur) This paper presents a research on the estimation of the impact of geometric imprecision on basic measurements (length, area) in vector databases, in order to generate relevant information for decision making. The goal consists in the elaboration of a model allowing a non-expert user to evaluate the geometric imprecision of its dataset, using data analysis as well as description of production processes (such as digitising or generalisation). We suppose that these processes induce variable contribution to errors in a dataset, and are exposed to spatial heterogeneity according to the geographical context. This model lays on a knowledge base, based on measurements, contextual indicators and additional information on the dataset production. In order to evaluate a dataset's geometric imprecision impact without any reference, decision rules are under development, using the knowledge base coupled with hypothesis on the influence of the geographical context on production processes. Experimentation on a road network illustrates the respective impact of production processes in the final length measurement error. Possibilities to communicate this impact following a particular usage are also evocated. Numéro de notice : C2010-045 Affiliation des auteurs : COGIT (1988-2011) Thématique : GEOMATIQUE/INFORMATIQUE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : sans En ligne : https://www.isprs.org/proceedings/XXXVIII/part2/Papers/125_Paper.pdf Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=64316 Documents numériques
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Estimation of imprecision in length and ... - pdf auteurAdobe Acrobat PDF Classification des tissus urbains à partir de données vectorielles : application à Strasbourg / Anne Puissant (2010)
contenu dans SAGEO '10, conférence internationale de géomatique et d'analyse spatiale, Toulouse, 17, 18 et 19 novembre 2010 / Claude Monteil (2010)
Titre : Classification des tissus urbains à partir de données vectorielles : application à Strasbourg Type de document : Article/Communication Auteurs : Anne Puissant, Auteur ; Nicolas Lachiche, Auteur ; Grzegorz Skupinski, Auteur ; Agnès Braud, Auteur ; Julien Perret , Auteur Editeur : Toulouse : Université de Toulouse Année de publication : 2010 Conférence : SAGEO 2010, Spatial Analysis and GEOmatics 17/11/2010 19/11/2010 Toulouse France Proceedings Springer Importance : pp 198 - 211 Note générale : bibliographie Langues : Français (fre) Descripteur : [Vedettes matières IGN] Analyse spatiale
[Termes IGN] analyse spatio-temporelle
[Termes IGN] apprentissage dirigé
[Termes IGN] base de données vectorielles
[Termes IGN] base de règles
[Termes IGN] classification automatique
[Termes IGN] dynamique spatiale
[Termes IGN] milieu urbain
[Termes IGN] morphologie urbaine
[Termes IGN] StrasbourgRésumé : (auteur) L’analyse morphologique des tissus urbains est un préalable important afin de mieux comprendre les dynamiques urbaines et afin de les simuler. Dans ce contexte, l’objectif de cet article est de tester un algorithme d'apprentissage supervisé symbolique (TILDE) permettant d'obtenir un modèle de classification représenté sous forme de règles de décision. L’objectif est d’automatiser le processus d’identification des tissus urbains à partir de bases de données vectorielles et d’extraire des connaissances morphologiques sur les tissus urbains. Différents tests, appliqués à l’agglomération de Strasbourg, sur des données historiques reconstruites sur une période de 50 ans, met en évidence l’intérêt de ce type d’algorithme pour classer les tissus urbains. Toutefois, l’identification automatique de règles caractérisant la morphologie des tissus urbains de manière univoque reste difficile. Numéro de notice : C2010-026 Affiliation des auteurs : COGIT+Ext (1988-2011) Thématique : GEOMATIQUE/URBANISME Nature : Communication nature-HAL : ComAvecCL&ActesPubliésNat DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=88446 Collaborative generalisation: formalisation of generalisation knowledge to orchestrate different cartographic generalisation processes / Guillaume Touya (2010)
contenu dans Geographic information science, 6th international conference, GIScience 2010, Zurich, Switzerland, September 14-17, 2010 / Sara Irina Fabrikant (2010)
Titre : Collaborative generalisation: formalisation of generalisation knowledge to orchestrate different cartographic generalisation processes Type de document : Article/Communication Auteurs : Guillaume Touya , Auteur ; Cécile Duchêne , Auteur ; Anne Ruas , Auteur Editeur : Berlin, Heidelberg, Vienne, New York, ... : Springer Année de publication : 2010 Conférence : GIScience 2010, 6th international conference on geographic information science 14/09/2010 17/09/2010 Zurich Suisse Proceedings Springer Importance : pp 264 - 278 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] base de règles
[Termes IGN] généralisation cartographique automatisée
[Termes IGN] interopérabilité
[Termes IGN] ontologie
[Termes IGN] programmation par contraintes
[Vedettes matières IGN] GénéralisationRésumé : (auteur) Cartographic generalisation seeks to summarise geographical information from a geographic database to produce a less detailed and readable map. This paper deals with the problem of making different automatic generalisation processes collaborate to generalise a complete map. A model to orchestrate the generalisation of different areas (cities, countryside, mountains) by different adapted processes is proposed. It is based on the formalisation of cartographic knowledge and specifications into constraints and rules sets while processes are described to formalise their capabilities. The formalised knowledge relies on generalisation domain ontology. For each available generalisation process, the formalised knowledge is then translated into process parameters by an adapted translator component. The translators allow interoperable triggers and allow the choice of the proper process to apply on each part of the space. Applications with real processes illustrate the usability of the proposed model. Numéro de notice : C2010-017 Affiliation des auteurs : COGIT (1988-2011) Thématique : GEOMATIQUE/INFORMATIQUE Nature : Communication DOI : 10.1007/978-3-642-15300-6_19 En ligne : https://doi.org/10.1007/978-3-642-15300-6_19 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=76255 Documents numériques
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Collaborative Generalisation - preprintAdobe Acrobat PDF Compromising contextual constraints and cartographic rules: application to sustainable maps / Charlotte Hoarau (2010)
Titre : Compromising contextual constraints and cartographic rules: application to sustainable maps Type de document : Article/Communication Auteurs : Charlotte Hoarau , Auteur Editeur : International Society for Photogrammetry and Remote Sensing ISPRS Année de publication : 2010 Collection : International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, ISSN 1682-1750 num. 38-B4 Conférence : ISPRS 2010, Special Joint Symposium of ISPRS Commission IV and AutoCarto 2010 in conjunction with ASPRS/CaGIS 2010 Special Conference, Geospatial Data and Geovisualization: Environment, Security, and Society 15/11/2010 19/11/2010 Orlando Floride - Etats-Unis ISPRS OA Archives Commisson 4 Importance : 7 p. Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Cartographie
[Termes IGN] base de règles
[Termes IGN] couleur (rédaction cartographique)
[Termes IGN] prise en compte du contexte
[Termes IGN] programmation par contraintesRésumé : (auteur) The necessary adaptation of mapping applications generates new constraints which should be considered in addition to the traditional cartographic rules used to design maps. Particularly, colors used in the legend could be optimized regarding those constraints. A big stake of such optimization is to preserve the semiotic quality of maps. Therefore, we propose a quantification of the cartographic quality of a map regarding a given reference map and considering semantic rules of association, differentiation and order supposed to be conveyed by the colors of the map. Some mobile devices required more energy to display dark colors than lighter ones. Our example of contextual constraint is then the optimization of the colors in order to lower the energy required to display a map. Three map samples have been designed, while taking more or less into consideration conventional uses of colors for relevant themes: hydrography, vegetation and the background layer. We discuss on how to find the best compromise between a contextual constraint (the energy required to display a map on a screen of a mobile device in our example) and the cartographic consistency on colors regarding the initial semantic relationships in the legend. This supposes to evaluate how far a map supposed to follow cartographic rules can be altered while preserving its semiotic quality. Numéro de notice : C2010-043 Affiliation des auteurs : COGIT (1988-2011) Thématique : GEOMATIQUE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : sans En ligne : https://www.isprs.org/proceedings/XXXVIII/part4/files/Hoarau.pdf Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=98154
Titre : Knowledge based building facade reconstruction from laser point clouds and images Type de document : Thèse/HDR Auteurs : Shi Pu, Auteur Editeur : Delft : Netherlands Geodetic Commission NGC Année de publication : 2010 Collection : Netherlands Geodetic Commission Publications on Geodesy, ISSN 0165-1706 num. 75 Importance : 119 p. Format : 17 x 24 cm ISBN/ISSN/EAN : 978-90-6132-319-3 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] B-Spline
[Termes IGN] base de connaissances
[Termes IGN] données laser
[Termes IGN] données localisées 3D
[Termes IGN] extraction de traits caractéristiques
[Termes IGN] façade
[Termes IGN] Pays-Bas
[Termes IGN] reconstruction 3D du bâti
[Termes IGN] semis de points
[Termes IGN] système à base de connaissances
[Termes IGN] télémétrie laser terrestre
[Termes IGN] texturageIndex. décimale : 33.80 Lasergrammétrie Résumé : (Auteur) Various applications demand realistic 3D city models. For urban planning, analyzing in a 3D virtual reality world is much more efficient than imaging the 2D information on maps. For public security, accurate 3D building models are indispensable to make strategies during emergency situations. Navigation systems and virtual tourism also benefit from realistic city models. Manual creation of city models is undoubtedly a rather time consuming and expensive procedure. On one hand, images are for long the only data source for geometric modelling, while recovering of 3D geometries is not straightforward from 2D images. On the other hand, there are enormous amounts of objects (for example buildings) to be reconstructed, and their structures and shapes show a great variety. There is a lack of automated approaches to understand the building structures captured by data. The rapid development of cities even adds to the cost of manual city model updating. In recent years, laser scanning has been proven a successful technology for reverse engineering. The terrestrial laser point clouds are especially useful for documenting building facades. With the considerable high point density and the explicit 3D coordinates of terrestrial laser point clouds, it is possible to recover both large structures and fine details on building facades. The latest developments of mobile laser scanning technology also make it more cost-effective to take large-scale laser scanning over urban areas.
This PhD research aims at reconstructing photorealistic building facade models from terrestrial laser point clouds and close range images, with a largely automatic process. A knowledge base about building facade structures is established first, where several important building features (wall, door, protrusion, etc.) are defined and described with their geometric properties and spatial relationships. Then constraints for feature extraction are derived from the knowledge base. After a laser point cloud is segmented into planar segments by surface a growing segmentation algorithm, each segment is compared with the feature constraints to determine the most likely feature type for each segment. The feature extraction method works fine for all facade features except for windows, because there are usually insufficient laser points reflected from window glass. Instead, windows are reconstructed from the holes on the wall features. Then outline polygons or B-spline surfaces are fit to all feature segments, and the parts without laser points are hypothesized according to knowledge. A complete polyhedron model is combined from both fitted and hypothesized outlines.
Since laser data contains no colour information, the building models reconstructed from only laser data contain only geometric information such as vertices and edges. To obtain photorealistic results, textures must be mapped from images to the geometric models. The fusing of laser points and image requires accurate alignment between laser space and image space, which is accomplished after a semi-automated process. Because of the limitations of modelling methods, the geometry model reconstructed from laser points may contain many errors which would cause poor texturing effect. Therefore, significant line features extracted from images are compared with the initial model's edges, and necessary refinements are made to correct the model errors, or at least make the model edges consistent with the image lines. Finally, in the texturing stage, the texture of each model face is selected automatically from multiple images to ensure the optimal visibility. Texture errors caused by occlusions in front of a wall are also removed by analyzing the locations of the wall, the occlusions and the camera position.
Experiments with three data sets show that building reconstruction are considerably accelerated by the presented methods. Our approach is more than 10 times faster than the traditional approach when reconstructing the same buildings, and the models by our approach contain more fine details such as doors and windows. The reconstruction of wall facades and roofs are fully automatic, while some manual interactions (48 percent of the total reconstruction time) are still required for editing the fine details. It should also be faster to make global statistics (number of floors, number of entrances, etc.) and modifications (deriving models with a lower level of detail, applying pre-defined textures, etc.) later on to our models, since different model parts have been associated with the semantic labels. While the reconstruction efficiency is improved by our approach, the visualization effects of our models are also comparable to the models by the traditional approach. The future work will focus on improving the knowledge base and developing a fully automated camera parameter estimation procedure. The completeness and adaptability of the knowledge base will be especially important for the further automation of our reconstruction approach.Note de contenu : 1 Introduction
1.1 State-of-the-art of terrestrial laser scanning
1.2 Related works
1.2.1 Overview
1.2.2 Frueh et al. 2005
1.2.3 Cornelis et al. 2008
1.2.4 Ripperda2008
1.2.5 Becker 2009
1.3 Method overview
1.4 Structure of the thesis
2 Knowledge engineering and reasoning
2.1 Knowledge engineering
2.1.1 Assembling the knowledge
2.1.2 Decide on a vocabulary
2.1.3 Encode general knowledge
2.1.4 The hierarchical composition
2.2 Reasoning with the knowledge
2.3 Managing uncertainty
2.3.1 Describing the uncertainty
2.3.2 Making expected decisions
2.4 Concluding remarks
3 Feature extraction
3.1 Preprocessing
3.1.1 Spatial indexing
3.1.2 Extracting points of interest
3.2 Extraction of geometric features
3.2.1 Flat surfaces
3.2.2 Curved surfaces
3.3 Extraction of semantic features
3.3.1 Solid features extraction
3.3.2 Hole-based window extraction
3.4 Discussion
4 Geometric reconstruction
4.1 Polygon fitting
4.1.1 Least squares fitting
4.1.2 Convex polygon and concave polygon fitting
4.1.3 Minimum bounding rectangle fitting
4.2 B-spline surface fitting
4.2.1 The B-spline curve and surface
4.2.2 B-spline surface approximation
4.3 Hypotheses for parts without laser data
4.4 Results and Discussion
4.4.1 Flat surfaces
4.4.2 Curved surfaces
5 Model refinement with imagery
5.1 Method overview
5.2 Registration
5.2.1 Perspective Conversion
5.2.2 Spatial Resection
5.2.3 Relative Orientation
5.3 The model refinement
5.3.1 Extraction of Significant Lines from Images
5.3.2 Matching Model Edges with Image Lines
5.3.3 Refinement Strategy
5.4 Test cases
5.4.1 The restaurant house
5.4.2 The town hall
5.4.3 The wall with high windows
5.4.4 Summary
5.5 Conclusions and outlook
6 Texture mapping
6.1 Selecting texture images
6.1.1 Optimal image selection
6.1.2 Occlusion removal
6.2 Calculating texture coordinates
6.3 Results and discussion
6.3.1 The three joined houses
6.3.2 The house with a balcony
6.3.3 The curved walls
6.3.4 Discussion
7 Method evaluation
7.1 The reconstruction approaches
7.1.1 Our approach
7.1.2 The traditional approach
7.2 The Vlaardingen case
7.3 The Enschede case
7.4 The Esslingen case
7.5 Conclusions
8 Conclusions and recommendations
8.1 Conclusions
8.2 RecommendationsNuméro de notice : 10834 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Thèse étrangère Note de thèse : PhD thesis : En ligne : https://www.ncgeo.nl/index.php/en/publicatiesgb/publications-on-geodesy/item/257 [...] Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=62511 Réservation
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Code-barres Cote Support Localisation Section Disponibilité 10834-01 33.80 Livre Centre de documentation Photogrammétrie - Lasergrammétrie Disponible Simuler la densification du tissu urbain au moyen d’un processus de peuplement / Florence Curie (2010)PermalinkSystème coopératif à base de connaissances pour le choix de couleurs personnalisées et originales en cartographie / Sidonie Christophe (2010)PermalinkGeneration and application of rules for quality dependent facade reconstruction / S. Becker in ISPRS Journal of photogrammetry and remote sensing, vol 64 n° 6 (November - December 2009)PermalinkA data-mining approach for assessing consistency between multiple representations in spatial databases / David Sheeren in International journal of geographical information science IJGIS, vol 23 n° 7-8 (july 2009)PermalinkA GeoAgent-based framework for knowledge-oriented representation: embracing social rules in GIS / C. Yu in International journal of geographical information science IJGIS, vol 23 n° 7-8 (july 2009)PermalinkMulti-scale rendering with geometry collapse and a symbol knowledge Base / J. Choi in Cartographic journal (the), vol 46 n° 2 (May 2009)PermalinkMise en oeuvre d'une mémoire environnementale adaptée aux besoins d'un observatoire du domaine côtier : MEnIr / Cyril Faucher in Revue internationale de géomatique, vol 19 n° 1 (mars – mai 2009)PermalinkIC 2009, Ingénierie des Connaissances 2009, 20es journées francophones, Hammamet, Tunisie, 25 - 29 mai 2009 / Fabien L. Gandon (2009)PermalinkPermalinkConception et exploitation d'une base de métadonnées de traitements informatiques, représentation opérationnelle des connaissances d'expert in Le monde des cartes, n° 198 (décembre 2008)Permalink