Academic literature on the topic 'Fusion de données géospatiales'
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Journal articles on the topic "Fusion de données géospatiales":
Plante, Katherine, and Marc Gervais. "La Garantie de Qualité des Données Géospatiales." GEOMATICA 69, no. 1 (March 2015): 7–27. http://dx.doi.org/10.5623/cig2015-101.
Bakillah, Mohamed, and Mostafavi Mir Abolfazl. "Approche géosémantique intégrée pour les cubes évolutifs de données géospatiales." Revue internationale de géomatique 21, no. 1 (March 30, 2011): 8–42. http://dx.doi.org/10.3166/rig.21.8-42.
Larrivée, Suzie, Yann Bédard, and Jacynthe Pouliot. "Fondement de la modélisation conceptuelle des bases de données géospatiales 3D." Revue internationale de géomatique 16, no. 1 (March 30, 2006): 9–27. http://dx.doi.org/10.3166/rig.16.9-27.
Konini, Mirela, Alexandre Devaux, and Mathieu Brédif. "iTowns, le nouveau moteur de visualisation 3D de données géospatiales du Géoportail." Annales des Mines - Responsabilité et environnement N° 94, no. 2 (2019): 14. http://dx.doi.org/10.3917/re1.094.0014.
Devillers, Rodolphe, Yvan Bédard, and Marc Gervais. "Indicateurs de qualité pour réduire les risques de mauvaise utilisation des données géospatiales." Revue internationale de géomatique 14, no. 1 (March 30, 2004): 35–57. http://dx.doi.org/10.3166/rig.14.35-57.
Lissak, Candide, Anne Puissant, Olivier Maquaire, and Jean-Philippe Malet. "Analyse spatiotemporelle de glissements de terrain littoraux par l’exploitation de données géospatiales multisources." Revue internationale de géomatique 23, no. 2 (June 30, 2013): 199–225. http://dx.doi.org/10.3166/rig.23.199-225.
Miguel, Maryvonne, Yvan Bédard, and Alexandre Brisebois. "Conception d'entrepôts de données géospatiales à partir de sources hétérogènes Exemple d'application en foresterie." Ingénierie des systèmes d'information 7, no. 3 (June 24, 2002): 89–111. http://dx.doi.org/10.3166/isi.7.3.89-111.
Andrade Arnaut, Adriana, José Gomes dos Santos, and Paulo Márcio Leal de Menezes. "A Geospatial and Geo-historical Library for a Space–Time Analysis of Catu Territory." Cartographica: The International Journal for Geographic Information and Geovisualization 57, no. 2 (July 1, 2022): 161–78. http://dx.doi.org/10.3138/cart-2020-0016.
Payant, Gabriel. "Banlieues régénérées : la conception algorithmique par données géospatiales comme démarche architecturale permettant de favoriser un développement écologique des zones suburbaines en Amérique du Nord." Cygne noir, no. 5 (June 16, 2022): 132–62. http://dx.doi.org/10.7202/1089941ar.
Bouziani, Mourad, and Jacynthe Pouliot. "Optimisation de la mise à jour des bases de données géospatiales Proposition d'une procédure automatisée d'appariement géométrique d'objets linéaires." Revue internationale de géomatique 18, no. 1 (March 26, 2008): 113–37. http://dx.doi.org/10.3166/geo.18.113-137.
Dissertations / Theses on the topic "Fusion de données géospatiales":
Cherif, Mohamed Abderrazak. "Alignement et fusion de cartes géospatiales multimodales hétérogènes." Electronic Thesis or Diss., Université Côte d'Azur, 2024. http://www.theses.fr/2024COAZ5002.
The surge in data across diverse fields presents an essential need for advanced techniques to merge and interpret this information. With a special emphasis on compiling geospatial data, this integration is crucial for unlocking new insights from geographic data, enhancing our ability to map and analyze trends that span across different locations and environments with more authenticity and reliability. Existing techniques have made progress in addressing data fusion; however, challenges persist in fusing and harmonizing data from different sources, scales, and modalities.This research presents a comprehensive investigation into the challenges and solutions in vector map alignment and fusion, focusing on developing methods that enhance the precision and usability of geospatial data. We explored and developed three distinct methodologies for polygonal vector map alignment: ProximityAlign, which excels in precision within urban layouts but faces computational challenges; the Optical Flow Deep Learning-Based Alignment, noted for its efficiency and adaptability; and the Epipolar Geometry-Based Alignment, effective in data-rich contexts but sensitive to data quality. Additionally, our study delved into linear feature map alignment, emphasizing the importance of precise alignment and feature attribute transfer, pointing towards the development of richer, more informative geospatial databases by adapting the ProximityAlign approach for linear features like fault traces and road networks. The fusion aspect of our research introduced a sophisticated pipeline to merge polygonal geometries relying on space partitioning, non-convex optimization of graph data structure, and geometrical operations to produce a reliable fused map that harmonizes input vector maps, maintaining their geometric and topological integrity.In practice, the developed framework has the potential to improve the quality and usability of integrated geospatial data, benefiting various applications such as urban planning, environmental monitoring, and disaster management. This study not only advances theoretical understanding in the field but also provides a solid foundation for practical applications in managing and interpreting large-scale geospatial datasets
Noël, de Tilly Antoine. "Le raisonnement à base de logique propositionnelle à l'appui de la fusion et de la révision de bases de données géospatiales." Master's thesis, Université Laval, 2007. http://hdl.handle.net/20.500.11794/19730.
The objective of this thesis is to make a comparison between a qualitative reasoning approach based on PROLOG with another approach based on ASP. Our principal research question was the following : Can the Smodels reasoning engine, allowing for advanced non monotonic reasoning and introducing the stable model concept, allow us to solve ontological consistency checking problems as well as revision problems in a geomatic context ? To answer this question, we carried out a series of tests on a cross-section from the National Topographical Database (NTDB). In the light of the results obtained, this approach has proven very effective and contributes to the amelioration of geospatial information consistency and to the resultant improvement in spatial reasoning.
Noël, de Tilly Antoine. "Le raisonnement à base de logique propositionnelle à l'appui de la fusion et de la révision de bases de données géospatiales." Thesis, Université Laval, 2008. http://www.theses.ulaval.ca/2008/25066/25066.pdf.
The objective of this thesis is to make a comparison between a qualitative reasoning approach based on PROLOG with another approach based on ASP. Our principal research question was the following : Can the Smodels reasoning engine, allowing for advanced non monotonic reasoning and introducing the stable model concept, allow us to solve ontological consistency checking problems as well as revision problems in a geomatic context ? To answer this question, we carried out a series of tests on a cross-section from the National Topographical Database (NTDB). In the light of the results obtained, this approach has proven very effective and contributes to the amelioration of geospatial information consistency and to the resultant improvement in spatial reasoning.
Mora, Brice. "Cartographie de paramètres forestiers par fusion évidentielle de données géospatiales multi-sources application aux peuplements forestiers en régénération et feuillus matures du Sud du Québec." Thèse, Université de Sherbrooke, 2009. http://savoirs.usherbrooke.ca/handle/11143/2803.
Leroux, Boris. "Fusion de données LiDAR et photographiques pour le géoréférencement direct d’un lever topographique par micro-drone aérien." Thesis, Le Mans, 2019. http://www.theses.fr/2019LEMA1024.
Within the development of systems dedicated to mobile mapping, spatial data production takes a growing part. For users, this spatial data is particularly interesting when computing digital models which are used to manage efficiently the resource, they are responsible for. To collect this data Hélicéo company especially offers an aerial solution which can embed a camera or a LiDAR sensor. Like every platforms dedicated to dynamic mapping, this system needs to geo-referencing the collected data in a coordinate reference frame.Most of the mobile mapping systems perform direct georeferencing using the trajectory determined from coupled GNSS receiver and inertial measurement unit (IMU). Even if this method is well known et operational for Airborne Laser Scanning (ALS) and Mobile Mapping Systems (MMS), it is hard to transpose for lightweight platforms like drones which require special payloads.To suit this constrains, drones use Micro-Electro Mechanical Systems (MEMS) which are light, compact and require low power. However, the accuracy of the attitude computed from this MEMS sensors is degraded compared to the tactical sensors so that it does not correspond to the accuracy level expected for topographic surveys.The goal of our study was to establish and validate a new methodology based on a camera and visual odometry (VO) computing. This thesis describes the theoretical approach to compute attitude from images taken by a camera and how LiDAR points are georeferenced using GNSS receiver coupled to VO. In the second part, this thesis describes the different experiments and the process we follow to validate this method and the comparison with traditional GNSS/IMU method
Martin-Lac, Victor. "Aerial navigation based on SAR imaging and reference geospatial data." Electronic Thesis or Diss., Ecole nationale supérieure Mines-Télécom Atlantique Bretagne Pays de la Loire, 2024. http://www.theses.fr/2024IMTA0400.
We seek the algorithmic means of determining the kinematic state of an aerial device from an observation SAR image and reference geospatial data that may be SAR, optical or vector. We determine a transform that relates the observation and reference coordinates and whose parameters are the kinematic state. We follow three approaches. The first one is based on detecting and matching structures such as contours. We propose an iterative closest point algorithm and demonstrate how it can serve to estimate the full kinematic state. We then propose a complete pipeline that includes a learned multimodal contour detector. The second approach is based on a multimodal similarity metric, which is the means of measuring the likelihood that two local patches of geospatial data represent the same geographic point. We determine the kinematic state under the hypothesis of which the SAR image is most similar to the reference geospatial data. The third approach is based on scene coordinates regression. We predict the geographic coordinates of random image patches and infer the kinematic state from these predicted correspondences. However, in this approach, we do not address the fact that the modality of the observation and the reference are different
Devillers, Rodolphe. "Conception d'un système multidimensionnel d'information sur la qualité des données géospatiales." Phd thesis, Université de Marne la Vallée, 2004. http://tel.archives-ouvertes.fr/tel-00008930.
Ugon, Adrien. "Fusion symbolique et données polysomnographiques." Paris 6, 2013. http://www.theses.fr/2013PA066187.
In recent decades, medical examinations required to diagnose and guide to treatmentbecame more and more complex. It is even a current practice to use several examinationsin different medical specialties to study a disease through multiple approaches so as todescribe it more deeply. The interpretation is difficult because the data is both heterogeneous and also veryspecific, with skilled domain of knowledge required to analyse it. In this context, symbolic fusion appears to be a possible solution. Indeed, it wasproved to be very effective in treating problems with low or high levels of abstraction ofinformation to develop a high level knowledge. This thesis demonstrates the effectiveness of symbolic fusion applied to the treatmentof polysomnographic data for the development of an assisted diagnosis tool of Sleep ApneaSyndrome. Proper diagnosis of this sleep disorder requires a polysomnography. This medicalexamination consists of simultaneously recording of various physiological parametersduring a night. Visual interpretation is tedious and time consuming and there commonlyis some disagreement between scorers. The use of a reliable support-to-diagnosis toolincreases the consensus. This thesis develops stages of the development of such a tool
Hamaina, Rachid. "Enrichissement des référentiels géographiques pour la caractérisation morphologique des tissus urbains." Ecole centrale de Nantes, 2013. http://www.theses.fr/2013ECDN0030.
The growing availability of geographic databases makes them a great public product for which the uses are extended to cover most of spatial issues. These databases are generic and are usually not suitable for all potential uses. Furthermore, these are semantically poor. Semantic enrichment and knowledge extraction from these data can be very useful for thematic applications. We are interested here by the exploration of geographic databases to extract some useful knowledge for urban morphology characterization. A very simple city model for urban environment can be extracted from geographic databases. This is formed by a 1D street network layer and a (2D or 2. 5D) buildings footprints layer. Morphology characterization consist of the urban spatial macro-structure exploration from street network and urban spatial micro-structure analysis from buildings footprints. The city macro-structure analysis is based on geometric patterns detection. These can be associated to some urban fabric types. This can be done independently of any urban context and history. The spatial micro-structure analysis is based on: First, the construction of a hierarchic and multi-level urban model. This is suitable for morphologic issues. Second, morphologic properties are formalized and traduced to a set of indicators which is used into a clustering process to delineate some morphologically homogeneous urban areas. Finally, the hierarchic model is used to develop a new aware neighborhood density characterization since density is the most used morphologic property in urban design and analysis. These methods of urban morphology characterization are developed in a GIS environment and can be used on huge data. These use poor semantic data, are reproducible independently of urban context and allow improving classic characterizations mainly descriptive and not easily objective
Fischer, Nicolas. "Fusion statistique de fichiers de données." Paris, CNAM, 2004. http://www.theses.fr/2004CNAM0483.
It is the objective of statistical data fusion to put together data emanating from distinct sources. When data are incomplete in files, fusion methodologies enable to transfer information, i. E. Variables of interest which are available in the so called donor files into a recipient file. This technique is based on the presence of common variables between the different files. We introduce new models for qualitative data which involve logistic and PLS regression. The latter is of special interest when dealing with highly correlated data set. These methods have been successfully tested on real data set and validated according to several criteria assessing the quality of statistical analysis. Finally, a decision making process has been operationally validated by using the lift indicator
Books on the topic "Fusion de données géospatiales":
Coleman, David, and Abbas Rajabifard. Spatially enabling government, industry and citizens: Research and development perspectives. Needham, Ma: GSDI Association Press, 2012.
Salem, Joseph A. Spatial data collections and services. Washington, D.C: Association of Research Libraries, Office of Leadership and Management Services, 2005.
Yang, Chaowei. Advanced geoinformation science. Boca Raton, FL: CRC Press, 2011.
Oosterom, Petrus Johannes Maria van and Zlatanova Siyka, eds. Creating spatial information infrastructures: Toward the spatial Semantic Web. Boca Raton: Taylor & Francis, 2008.
Oosterom, Petrus Johannes Maria van. and Zlatanova Siyka, eds. Creating spatial information infrastructures: Towards the spatial Semantic Web. Boca Raton: CRC Press, 2008.
Stephen, Wise, and Craglia Massimo, eds. GIS and evidence-based policy making. Boca Raton, FL: CRC Press, 2008.
R, Ganguly Auroop, ed. Knowledge discovery from sensor data. Boca Raton: Taylor & Francis, 2009.
Nedović-Budić, Zorica, Joep Crompvoets, and Yola Georgiadou. Spatial data infrastructure: North and south. Boca Raton: CRC Press, 2011.
DeHaan, Jen. ColdFusion Web development with Macromedia Dreamweaver MX 2004. Berkeley, CA: Apress, 2004.
Rogerson, Peter. Statistical detection and surveillance of geographic clusters. Boca Raton: Chapman & Hall/CRC, 2009.
Book chapters on the topic "Fusion de données géospatiales":
"Objectifs de développement durable et données géospatiales." In Cartographier pour un monde durable, 1–21. United Nations, 2023. http://dx.doi.org/10.18356/9789210024419c004.
Chandler, Martin, Kara Handren, Stéfano Biondo, Amber Leahey, Sarah Rutley, and Rhys Stevens. "Les données de recherche géospatiales au Canada: un survol des projets régionaux." In La gestion des données de recherche dans le contexte canadien: un guide pour la pratique et l'apprentissage. Western University, Western Libraries, 2023. http://dx.doi.org/10.5206/fxql2330.
Conference papers on the topic "Fusion de données géospatiales":
Magaud, Philippe. "Point sur la fusion thermonucléaire contrôlée." In Données nucléaires : avancées et défis à relever. Les Ulis, France: EDP Sciences, 2014. http://dx.doi.org/10.1051/jtsfen/2014donra03.
MARIEU, Vincent, Thomas GUERIN, Sylvain CAPO, Driss BRU, Bertrand LUBAC, Vincent HANQUIEZ, Virginie LAFON, and Philippe BONNETON. "Bathymétrie de l’embouchure du bassin d’Arcachon par fusion de données hétéroclites et reconstruction bathymétrique." In Journées Nationales Génie Côtier - Génie Civil. Editions Paralia, 2012. http://dx.doi.org/10.5150/jngcgc.2012.065-m.
Reports on the topic "Fusion de données géospatiales":
Sears, G. Résumé, étude des politiques relatives aux données géospatiales. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2001. http://dx.doi.org/10.4095/292108.
Hackett, J., and R. Olson. Diffusion des données ouvertes géospatiales sous la Licence du gouvernement ouvert - Canada conformément aux principes de PCAP. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2019. http://dx.doi.org/10.4095/314979.
Infrastructure canadienne de données géospatiales. Natural Resources Canada/CMSS/Information Management, 2020. http://dx.doi.org/10.4095/328062.
L'Infrastructure canadienne de données géospatiales : Survol. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2012. http://dx.doi.org/10.4095/292420.
Guide sur la qualité des données géospatiales. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2016. http://dx.doi.org/10.4095/297537.
Infrastructure canadienne de données géospatiales, vision cible. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2001. http://dx.doi.org/10.4095/288843.
Guide d'introduction à la préservation des données géospatiales. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2015. http://dx.doi.org/10.4095/296300.
L'infrastructure canadienne de données géospatiales, description de l'architecture. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2005. http://dx.doi.org/10.4095/288845.
Guide d'introduction de l'Infrastructure canadienne de données géospatiales. Natural Resources Canada/CMSS/Information Management, 2020. http://dx.doi.org/10.4095/328066.
Évaluation de 2015 de l'Infrastructure canadienne de données géospatiales. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2016. http://dx.doi.org/10.4095/297881.