一种利用面元拟合的地面点云数据三维R树索引方法
Intelligent Spatial Information Delivery Decision-Making by Using Interval Analysis
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摘要: 针对地面激光扫描的真三维点云数据,提出基于面元拟合的三维R树索引方法,在对点云进行递归分割和面元拟合的过程中形成三维R树节点的包围盒,通过对传统R树的改进,使之更好地保留平面特征,以适应点云数据的管理。通过实验实现了地面点云数据的高效管理与查询检索,证明了方法的有效性。Abstract: The classical TOPSIS methods have their limitations when they are applied to spatial information.First,they lack methods for an ideal solution for decision-making attributes in spatial information.Second,they do not provide the utility degree for decision-making attributes.To solve these two problems,TOPSIS is extended by introducing interval analysis,and hence the E-TOPSIS-based algorithm for delivery decision-making is proposed.Experiments indicate that the E-TOPSIS-based algorithm is quite competent with intelligent spatial information delivery decision-making.
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