制图的未来——三维地图,摄影测量领域两种最常用方法的比较

IF 1 Q4 ENGINEERING, CIVIL
Iuliana Adriana Cuibac Picu, P. Dragomir, R. Peters
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引用次数: 0

摘要

摘要在过去的15年里,地图技术已成为智能城市规划的必要条件。2D地图开始被3D地图所扩充。3D地图已经被用于制图领域,用于创建地形和建筑物的三维视图。在本文中,我们讨论了3D地图的概念,并比较了生成这种地图的两种方法。在这项研究中,建立了两个3D地图,一个使用摄影测量3D立体恢复,另一个使用激光雷达点云和一组2D矢量多边形的自动挤出。通过对这些地图的比较,我们得出结论,这两张地图的精度非常相似,在很大程度上取决于输入数据。我们观察到,在摄影测量环境中创建精确的3D地图所需的时间比使用激光雷达点云构建的地图要长得多。随着3D地图成为测绘的未来,人们不断需要收集和处理更准确、更完整的现场数据。一旦获得了更详细的现场数据,就可以得出一个明确的结论,即哪种方法可以为我们提供更准确的3D地图。3D地图的发展以及为使用它而开发的应用正在迅速发展,尤其是在测量和材料监测方面。智能城市未来发展的关键在于更好的设计和基础设施,而3D地图技术是帮助这一发展的重要工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Future of Mapping – 3D Maps, the Comparison of two of the Most Used Methods in Photogrammetric Field
Abstract In the last 15 years, mapping technology has become a necessity in smart cities planning. And 2D are starting to be augmented by 3D maps. 3D Maps are already used in the cartographic field, to create a three-dimensional view of the terrain and buildings. In this paper we address the concept of 3D Maps and we compare two methods to generate such maps. In this study two 3D maps were built, one using photogrammetric 3D stereo-restitution and one using automatic extrusion from a LiDAR point cloud and a set of 2D vector polygons. Upon comparison of these maps, we have concluded that the accuracy of the two maps is very similar and it depends very much on the input data and we have observed that creating a precise 3D map in photogrammetric environment takes much longer than the one built using the LiDAR point cloud. As 3D maps become the future of mapping, there is a continuous need for more accurate and complete field data to be collected and processed. Once more detailed field data becomes available, a clear conclusion on which of the methods provide us with a more accurate 3D map could be drawn. The evolution of 3D mapping is rapidly growing together with the applications developed to use it, especially in surveying and material monitoring. The key to future development of smart cities in based on better designs and infrastructures, and 3D mapping technology is a vital instrument to assist such a development.
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自引率
9.10%
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