3D Point Clouds for Representing Landscape Change
3D Point Clouds for Representing Landscape Change
复制标题
用于表示景观变化的 3D 点云
DOI：
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发表时间：
2017
期刊：
影响因子：
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通讯作者：
U. W. Hayek
中科院分区：
文献类型：
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作者：
R. Spielhofer;S. Fabrikant;M. Vollmer;Johannes Rebsamen;A. Grêt;U. W. Hayek
随着我们当前景观的日益快速变化，可交换的土地利用模式正在不断演变，导致人们对其环境的认同感逐渐减弱。为了评估人们对未来可能的景观开发场景的看法和反应，我们的目标是从行人的角度开发逼真的景观描述，包括环境声音。因此，我们面临的挑战是如何最有效和高效地可视化潜在的景观变化场景。在这种情况下，LiDAR（光探测和测距）数据是创建真实景观描绘的有前途的资源。我们提出了一种创新的工作流程，将 3D 点云数据收集和建模与音频记录相结合，以可视化景观变化的场景。重点在于可视化过程和各种地理数据集的集成。在讨论最终的工作流程时，我们考虑了我们的解决方案在数据收集方面的优点和缺点，以及技术和道德问题。总的来说，所提出的方法看起来很有前途，但仍然需要大量的体力劳动。我们建议进一步开发可视化工作流程，例如，通过加快点云数据的数据采集过程，以及进一步自动化数据处理步骤。
Along with increasingly rapid changes of our present landscapes, exchangeable land use patterns are evolving that lead to decreasing identification of the people with their environment. To evaluate people’s perceptions of and reactions to possible future landscape development scenarios, we aimed to develop realistic-looking landscape depictions from a pedestrian perspective, including environmental sound. With this, we faced the challenge of how to most effectively and efficiently visualize potential landscape change scenarios. In this context, LiDAR (Light Detection and Ranging) data are a promising resource to create realistic landscape depictions. We present an innovative workflow combining 3D point cloud data collection and modelling with audio recordings for visualizing scenarios of landscape change. The focus is laid on the visualization process and the integration of various geographic data sets. In the discussion of the resulting workflow we consider strengths and weaknesses of our solution regarding data collection, as well as technical and ethical issues. Overall, the presented approach looks promising, but still requires a great deal of manual labor. We recommend to further develop the visualization workflow, for example, by speeding up the data acquisition process of the point cloud data, and by further automatization of the data processing steps.