最后提出了一种基于四叉树索引的海量图片的存储与检索方法。
And then he proposes a set of solution for cutting map image and storage of mass raster image.
树索引结合四叉树和R-树的各自优点，既可以满足较高的存储效率，又避免太多的无效查找，达到较好的查找性能。
QR-Tree index combines the advantage of Quadtree and R-Tree, not only serves the need of high storing efficiency, but also avoid of many invalidation query, in order to achieve good query capability.
采用基于线性四叉树的格网索引对点云数据建立索引，对点云数据进行分块提取；
The grid index based on linear quadtree is used to index the point cloud data, extracting the point cloud on the block.
提出了一种基于R-树与“四叉树”空间层次划分的空间索引结构QR-树，给出了其数据结构和算法描述。
QR-tree, a spatial index structure based on R-tree and a kind of space partition method using Quad-tree, is proposed. Its data structure and algorithms are also stated.
使用快速生成的四叉树进行区域查询，在提高查询效率的同时，有效缩短构造空间索引的时间。
It used a fast-created quad-tree to execute region query, which not only improved the query efficiency, but also shortened the time of constructing a spatial index.
使用快速生成的四叉树进行区域查询，在提高查询效率的同时，有效缩短构造空间索引的时间。
It used a fast-created quad-tree to execute region query, which not only improved the query efficiency, but also shortened the time of constructing a spatial index.
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