利用格网分块结构高效组织海量多波束水深数据，分别采用三种数学模型内插网格节点水深值，实现了不同网格尺度下的数据抽稀。
The proposed method organized bathymetric data utilizing grid block structure, interpolated depth at grid node adopting three mathematical models and thinned data with multi-scale grid.
每个结点表示一个DEM数据分块，根据如此剖分，由这棵四叉树结构就得到全球范围不同分辨率的DEM数据存储结构。
Each node represents one DEM data block. According this separation, by quad-tree data structure can get global different resolution DEM data storage architecture.
这种分块编译思想适用于基于分程序结构的其它非模块化程序设计语言。
This idea of separate compilation is suitable for non-modular programming languages based on the block structure.
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