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首页> 外文期刊>International Journal of Geographical Information Science >3D building roof reconstruction from airborne LiDAR point clouds: a framework based on a spatial database
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3D building roof reconstruction from airborne LiDAR point clouds: a framework based on a spatial database

机译：机载LiDAR点云的3D建筑物屋顶重建：基于空间数据库的框架

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摘要

Three-dimensional (3D) building models are essential for 3D Geographic Information Systems and play an important role in various urban management applications. Although several light detection and ranging (LiDAR) data-based reconstruction approaches have made significant advances toward the fully automatic generation of 3D building models, the process is still tedious and time-consuming, especially for massive point clouds. This paper introduces a new framework that utilizes a spatial database to achieve high performance via parallel computation for fully automatic 3D building roof reconstruction from airborne LiDAR data. The framework integrates data-driven and model-driven methods to produce building roof models of the primary structure with detailed features. The framework is composed of five major components: (1) a density-based clustering algorithm to segment individual buildings, (2) an improved boundary-tracing algorithm, (3) a hybrid method for segmenting planar patches that selects seed points in parameter space and grows the regions in spatial space, (4) a boundary regularization approach that considers outliers and (5) a method for reconstructing the topological and geometrical information of building roofs using the intersections of planar patches. The entire process is based on a spatial database, which has the following advantages: (a) managing and querying data efficiently, especially for millions of LiDAR points, (b) utilizing the spatial analysis functions provided by the system, reducing tedious and time-consuming computation, and (c) using parallel computing while reconstructing 3D building roof models, improving performance.
机译：三维（3D）构建模型对于3D地理信息系统必不可少，并在各种城市管理应用中发挥重要作用。尽管几种基于光检测和测距（LiDAR）数据的重建方法在全自动生成3D建筑模型方面取得了重大进展，但该过程仍然很繁琐且耗时，尤其是对于大量点云而言。本文介绍了一个新的框架，该框架利用空间数据库通过并行计算从机载LiDAR数据进行全自动3D建筑物屋顶重建，从而实现高性能。该框架集成了数据驱动和模型驱动方法，以生成具有详细功能的主要结构的建筑物屋顶模型。该框架由五个主要部分组成：（1）基于密度的聚类算法，用于对单个建筑物进行分段；（2）改进的边界跟踪算法；（3）用于对在参数空间中选择种子点的平面斑块进行分段的混合方法并扩大空间空间中的区域。（4）考虑离群值的边界正则化方法，（5）使用平面斑块的相交点重建建筑物屋顶的拓扑和几何信息的方法。整个过程基于一个空间数据库，该数据库具有以下优点：（a）有效地管理和查询数据，尤其是针对数百万个LiDAR点，（b）利用系统提供的空间分析功能，减少了繁琐且耗时的工作- （c）在重建3D建筑屋顶模型时使用并行计算，从而提高性能。

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