Change Detection of Buildings Based on Terrestrial Laser Scanning Data
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摘要: 利用地面激光扫描仪具有的数据获取速度快、精度高、实时性强、能全天候工作等优点,在快速获取三维点云的基础上,通过点云自动拼接、Hausdorff距离检测不同时期建筑物的三维模型变化,并改进了检测算法,提高了算法的执行效率。通过拟合平面构建Delaunay三角网求解变化区域的面积来评估灾害对建筑物的破坏程度,从而为灾害应急响应以及保险理赔等提供了可靠的决策依据。
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关键词:
- 地面激光扫描 /
- 变化检测 /
- 点云拼接 /
- Hausdorff距离 /
- Delaunay三角剖分
Abstract: Change detection has been widely applied in various fields.The fast and effective monitoring of change is involved in disaster dynamic monitoring,pollution monitoring and urban planning,etc.Terrestrial laser scanning is employed to detect the change of building models,taking the advantage of high speed,good precision,real-time,able to work around the clock,etc.The method consists of three steps: automatic point cloud registration;building change detection using optimized hausdorff distance algorithm from different model laser scan epochs;by plane fitting and Delaunay triangulation constructing,the change of regions of interest is quantified to assess the extent of the damage of disasters on the building,which provides a reliable basis for decision making in emergency response,insurance claim evaluation,etc. -
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