ABSTRACT

We present the GLIMPSE system that provides a framework for storage, management, accessibility and integration of 3D LiDAR data acquired from multiple platforms. We detail a point cloud retrieval approach, which provides spatially optimised access to point cloud data from the system for a particular geographic area based on user specifications. We tested our point cloud retrieval approach to facilitate the extraction of road medians from large volumes of ALS data stored in the GLIMPSE system. The integrated use of a geospatial database, the GLIMPSE system and the point cloud retrieval approach improved the efficiency of road median extraction.

摘要

我们展示了 GLIMPSE 系统，该系统为从多个平台获取的 3D LiDAR 数据的存储、管理、可访问性和集成提供了一个框架。我们详细介绍了一种点云检索方法，该方法根据用户规范为特定地理区域的系统提供对点云数据的空间优化访问。我们测试了我们的点云检索方法，以促进从存储在 GLIMPSE 系统中的大量 ALS 数据中提取道路中线。地理空间数据库、GLIMPSE 系统和点云检索方法的综合使用提高了道路中线提取的效率。