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Realistic benchmarks for point cloud data management systems
发布时间:2016-03-09     发布者:sres         审核者:     浏览次数:

题目:Realistic benchmarks for point cloud data management systems

主讲人:Prof. Dr. Peter Van Oosterom

时间:3月10日下午14:30

地点:必赢中国官方网站220报告厅

内容介绍:

Lidar, photogrammetry, and various other survey technologies enable the collection of massive point clouds. Faced with hundreds of billions or trillions of points the traditional solutions for handling point clouds usually under-perform even for classical loading and retrieving operations. To obtain insight in the features affecting performance the authors carried out single-user tests with different storage models on various systems, including Oracle Spatial and Graph, PostgreSQL-PostGIS, MonetDB and LAStools (during the second half of 2014). In the summer of 2015, the tests are further extended with the latest developments of the systems, including the new version of Point Data Abstraction Library (PDAL) with efficient compression. Web services based on point cloud data are becoming popular and they have requirements that most of the available point cloud data management systems cannot fulfil. This means that specific custom-made solutions are constructed. We identify the requirements of these web services and propose a realistic benchmark extension, including multi-user and level-of-detail queries. This helps in defining the future lines of work for more generic point cloud data management systems, supporting such increasingly demanded web services.

作者简介:

Peter van Oosterom,荷兰代尔夫特理工大学(Delft University of Technology, The Netherlands)教授;空间数据库、地图综合、三维地籍、互操作GIS等领域专家;ISO/TC 211 Geographic information/Geomatics的牵头人,国际著名学术期刊《Computers &Geosciences》副主编,国际测量师联合会(FIG)“三维地籍(3D-Cadastres)”联合工作组主席。