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Nearest neighbor search algorithm for GBD tree spatial data structure
引用本文:Yutaka Ohsawa,Takanobu Kurihara,Ayaka Ohki. Nearest neighbor search algorithm for GBD tree spatial data structure[J]. 重庆邮电学院学报(自然科学版), 2007, 0(3)
作者姓名:Yutaka Ohsawa  Takanobu Kurihara  Ayaka Ohki
作者单位:Saitama University,Saitama University,Saitama University Saitama 338-8570,Japan,Saitama 338-8570,Japan,Saitama 338-8570,Japan
摘    要:


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(Natural Sciences Edition), 2007, 0(3)
Authors:Yutaka Ohsawa  Takanobu Kurihara  Ayaka Ohki
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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