全自动摄影测量数据分割与目标信息抽取方法在模拟地形生成中的应用
Fully Automated Photogrammetric Data Segmentation and Object Information Extraction Approach for Creating Simulation Terrain
摘要：
我们以前的工作已经证明，视觉上逼真的三维网格可以自动重建低成本，现成的无人机系统（UAS）配备有能力的相机，和有效的摄影测量软件技术。然而，这样生成的数据不包含对象的语义信息/特征（即，人造物体、植被、地面、物体材料等）并且不允许复杂的用户级和系统级交互。考虑到数据在创建用于训练和模拟的逼真虚拟环境中的用例（即，任务规划、演习、威胁检测等），分割数据和提取对象信息是基本任务。因此，本研究的目的是设计和开发一个全自动摄影测量数据分割和对象信息抽取框架。为了验证所提出的框架，分割的数据和提取的特征被用于在作者先前设计的仿真工具中创建虚拟环境，即，空中地形视线分析系统（ATLAS）。结果表明，三维网格树可以使用提取的个体树位置替换为具有地理典型性的三维树模型。提取的树特征（即，颜色、宽度、高度）对选择合适的树种和提高视觉质量有价值。此外，所识别的地面材料信息可以被考虑用于寻路。最短路径的计算不仅要考虑物理距离，还要考虑越野车在不同地面材料上的性能。
英文摘要：
Our previous works have demonstrated that visually realistic 3D meshes can be automatically reconstructed with low-cost, off-the-shelf unmanned aerial systems (UAS) equipped with capable cameras, and efficient photogrammetric software techniques. However, such generated data do not contain semantic information/features of objects (i.e., man-made objects, vegetation, ground, object materials, etc.) and cannot allow the sophisticated user-level and system-level interaction. Considering the use case of the data in creating realistic virtual environments for training and simulations (i.e., mission planning, rehearsal, threat detection, etc.), segmenting the data and extracting object information are essential tasks. Thus, the objective of this research is to design and develop a fully automated photogrammetric data segmentation and object information extraction framework. To validate the proposed framework, the segmented data and extracted features were used to create virtual environments in the authors previously designed simulation tool i.e., Aerial Terrain Line of Sight Analysis System (ATLAS). The results showed that 3D mesh trees could be replaced with geo-typical 3D tree models using the extracted individual tree locations. The extracted tree features (i.e., color, width, height) are valuable for selecting the appropriate tree species and enhance visual quality. Furthermore, the identified ground material information can be taken into consideration for pathfinding. The shortest path can be computed not only considering the physical distance, but also considering the off-road vehicle performance capabilities on different ground surface materials.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
