大规模地形高度数据快速查询方法研究

大规模地形高度数据在以往多是以单实体使用为主,然而一些特殊应用需要多实体同时对大规模地形数据提出数据请求。因此,为了满足多实体对大规模地形数据快速查询的需求,在单实体地形数据分页调度机制的基础上提出了多实体地形数据分页调度机制。新的调度机制能满足多实体同时对大规模地形数据使用的需求。通过测试,证明新的调度机制能够有效地控制内存的使用,同时能使查询时间满足仿真需要。多实体地形数据分页调度机制的提出为日后大规模地形数据应用拓宽了途径。

The Research on the Methods for Rapid Inquiry of Large-scale TED(Terrain Elevation Data)

Large-scale TED is mainly used by single-entity in the past. However, some special applications require multi-entity to put forward data request to large-scale TED at the same time. Therefore,in order to meet the needs of multi-entity’s rapid inquiry for large-scale TED,the multi-entity’s terrain data paging scheduling mechanism based on single-entity’s terrain data paging scheduling mechanism was presented. The new scheduling mechanism can meet the needs of multi-entity to use large-scale TED at the same time. The test proves that the new scheduling mechanism can effectively control the use of memory, while make the search time meet the simulation needs. Multi-entity terrain data paging scheduling mechanism has broadened the application of large-scale terrain data in the future.