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Nearest neighbor search algorithm forGBD tree spatial data structure
引用本文:Yutaka Ohsaw,Takanobu Kurihar,Ayaka Ohki.Nearest neighbor search algorithm forGBD tree spatial data structure[J].重庆邮电大学学报(自然科学版),2007,19(3):253-259.
作者姓名:Yutaka Ohsaw  Takanobu Kurihar  Ayaka Ohki
作者单位:Saitama University, Saitama 338-8570 ,Japan
摘    要:: This paper describes the nearest neighbor (NN) search algorithm on the GBD(generalized BD) tree. The GBD tree is a spatial data structure suitable for two- or three-dimensional data and has good performance characteristics with respect to the dynamic data environment. On GIS and CAD systems, the R-tree and its-successors have been used. In addition, the NN search algorithm is also proposed in an attempt to obtain good performance from the R-tree. On the other hand, the GBD tree is superior to the R-tree with respect to exact match retrieval, because the GBD tree has auxiliary data that uniquely determines the position of the object in the structure. The proposed NN search algorithm depends on the property of the GBD tree described above. The NN search algorithm on the GBD tree was studied and the performance thereof was evaluated through experiments.

关 键 词:邻居搜索算法  GBD树  空间数据结构  动态数据环境  地理信息系统  计算机辅助设计
文章编号:1673-825X(2007)03-0253-07
收稿时间:2007-02-10
修稿时间:2007-02-10

Nearest neighbor search algorithm for GBD tree spatial data structure
Yutaka Ohsawa,Takanobu Kurihara,Ayaka Ohki.Nearest neighbor search algorithm for GBD tree spatial data structure[J].Journal of Chongqing University of Posts and Telecommunications,2007,19(3):253-259.
Authors:Yutaka Ohsawa  Takanobu Kurihara  Ayaka Ohki
Institution:Saitama University,Saitama 338-8570,Japan
Abstract:This paper describes the nearest neighbor (NN) search algorithm on the GBD(generalized BD) tree. The GBD tree is a spatial data structure suitable for two- or three-dimensional data and has good performance characteristics with respect to the dynamic data environment. On GIS and CAD systems, the R-tree and its successors have been used. In addition, the NN search algorithm is also proposed in an attempt to obtain good performance from the R-tree. On the other hand, the GBD tree is superior to the R-tree with respect to exact match retrieval, because the GBD tree has auxiliary data that uniquely determines the position of the object in the structure. The proposed NN search algorithm depends on the property of the GBD tree described above. The NN search algorithm on the GBD tree was studied and the performance thereof was evaluated through experiments.
Keywords:nearest neighbor search algorithm  GBD tree  spatial data structure
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