| 基于R树索引的三维可视化查询方法 |
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| 引用本文： | 龚俊,谢潇.基于R树索引的三维可视化查询方法[J].武汉大学学报(信息科学版),2011,36(10):1140-1143,1153. |
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| 作者姓名： | 龚俊 谢潇 |
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| 作者单位： | 1. 江西师范大学地理与环境学院,南昌市紫阳大道99号,330022
2. 武汉大学测绘遥感信息工程国家重点实验室,武汉市珞喻路129号,430079 |
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| 基金项目： | 国家自然科学基金资助项目(41001222); 国家973计划资助项目(2010CB731801); 武汉大学测绘遥感信息工程国家重点实验室开放研究基金资助项目((10)重04) |
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| 摘 要： | 针对应用日益广泛的最近邻查询,提出了一种基于R树广度遍历和优化排序原理的最近邻查询算法,能适应不同空间分布的目标数据集。同时,提出了多细节层次（LOD）目标查询方法。实验证明,此方法支持多尺度场景逼真描述,查询结果准确,满足当前三维GIS的功能需求。
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| 关 键 词： | R树 空间索引 三维空间查询 细节层次 |
Three-Dimension Visualization Query Method Based on R-Tree |
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| GONG Jun XIE Xiao.Three-Dimension Visualization Query Method Based on R-Tree[J].Geomatics and Information Science of Wuhan University,2011,36(10):1140-1143,1153. |
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| Authors: | GONG Jun XIE Xiao |
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| Institution: | GONG Jun1 XIE Xiao2(1 School of Geography and Environment,Jiangxi Normal University,99 Ziyang Road,Nanchang 330022,China)(2 State Key Laboratory of Information Engineering in Surveying,Mapping and Remote Sensing,Wuhan University,129 Luoyu Road,Wuhan 430079,China) |
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| Abstract: | Since k nearest neighbor(KNN) query which adopts relative conditions has more strict demands,this paper proposes a new KNN query algorithm,which adopts breadth traversal and optimal ordering principle and can fit different distributions of spatial features very well.Aiming at multi-scale phenomenon in 3D visualization,this paper presents a LOD feature query method.Experiments show that these spatial query methods have high efficiency and can retrieve focused features precisely.Moreover,LOD function can be r... |
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| Keywords: | R-tree spatial index 3D spatial query LOD |
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