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首页> 外文期刊>Remote Sensing >Automated 3D Scene Reconstruction from Open Geospatial Data Sources: Airborne Laser Scanning and a 2D Topographic Database
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Automated 3D Scene Reconstruction from Open Geospatial Data Sources: Airborne Laser Scanning and a 2D Topographic Database

机译：从开放的地理空间数据源自动进行3D场景重建：机载激光扫描和2D地形数据库

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Open geospatial data sources provide opportunities for low cost 3D scene reconstruction. In this study, based on a sparse airborne laser scanning (ALS) point cloud (0.8 points/m2) obtained from open source databases, a building reconstruction pipeline for CAD building models was developed. The pipeline includes voxel-based roof patch segmentation, extraction of the key-points representing the roof patch outline, step edge identification and adjustment, and CAD building model generation. The advantages of our method lie in generating CAD building models without the step of enforcing the edges to be parallel or building regularization. Furthermore, although it has been challenging to use sparse datasets for 3D building reconstruction, our result demonstrates the great potential in such applications. In this paper, we also investigated the applicability of open geospatial datasets for 3D road detection and reconstruction. Road central lines were acquired from an open source 2D topographic database. ALS data were utilized to obtain the height and width of the road. A constrained search method (CSM) was developed for road width detection. The CSM method was conducted by splitting a given road into patches according to height and direction criteria. The road edges were detected patch by patch. The road width was determined by the average distance from the edge points to the central line. As a result, 3D roads were reconstructed from ALS and a topographic database.
机译：开放式地理空间数据源为低成本3D场景重建提供了机会。在这项研究中，基于从开放源数据库获得的稀疏机载激光扫描（ALS）点云（0.8 points / m 2 ），开发了用于CAD建筑模型的建筑重建管道。该管道包括基于体素的屋顶补丁分割，代表屋顶补丁轮廓的关键点的提取，台阶边缘的识别和调整以及CAD建筑模型的生成。我们方法的优点在于生成CAD建筑物模型，而无需执行使边缘平行或建筑物正则化的步骤。此外，尽管使用稀疏数据集进行3D建筑物重建一直存在挑战，但我们的结果证明了在此类应用中的巨大潜力。在本文中，我们还研究了开放式地理空间数据集在3D道路检测和重建中的适用性。道路中心线是从开源2D地形数据库中获取的。 ALS数据用于获取道路的高度和宽度。开发了一种约束搜索方法（CSM）用于道路宽度检测。 CSM方法是通过根据高度和方向标准将给定道路分成小块来进行的。逐条道路边缘被检测到。道路宽度由边缘点到中心线的平均距离确定。结果，从ALS和地形数据库重建了3D道路。

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