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Data Preparation Impact on Semantic Segmentation of 3D Mobile LiDAR Point Clouds Using Deep Neural Networks., , и . Remote. Sens., 15 (4): 982 (февраля 2023)Saisie semi-automatique de bâtiments 3D dans une BD à représentations multiples. Vers une approche intégrée., , , и . Revue Internationale de Géomatique, 18 (1): 67-94 (2008)Super-Resolution-based Snake Model - An Unsupervised Method for Large-Scale Building Extraction using Airborne LiDAR Data and Optical Image., , , , и . CoRR, (2020)Coarse-to-Fine Registration of Airborne LiDAR Data and Optical Imagery on Urban Scenes., , , , и . CoRR, (2019)Study of the heterogeneous matching potential between 3D lidar point clouds and 2D SAL images., , , , и . IGARSS, стр. 1312-1315. IEEE, (2017)A method for automatic identification of openings in buildings facades based on mobile LiDAR point clouds for assessing impacts of floodings., , и . Int. J. Appl. Earth Obs. Geoinformation, (2022)The relevance of geovisualization in Citizen Participation processes., , , и . DG.O, стр. 397-406. ACM, (2017)Underwater environment restitution through sonar images and swath bathymetry rendering., , и . SMC, стр. 4417-4422. IEEE, (1998)Interactive dense point clouds in a game engine, , , , , , и . ISPRS Journal of Photogrammetry and Remote Sensing, (2020)Observation and analysis of a classroom teaching and learning practice based on augmented reality and serious games on mobile platforms., , , , и . Int. J. Serious Games, (2015)