为提升数据利用价值,增强地理空间数据库数据信息完整性,需对地理空间数据库中各要素进行挖掘、定位。文中提出基于地理空间结构的综合规则、空间基本数据特征语义的综合规则提取方法和法则,针对现有地理空间数据定位方法中存在定位结果耗时较长、误差较大等问题,基于激光雷达,以数据流移动地理空间数据库为研究背景,对地理空间要素进行高效准确定位。构建动静结合的矢量数据多尺度处理模型,使相邻尺度在进行切换过程中,由于尺度切换所导致的视觉跳跃感可降低和缓解。因而文中提出一种新型关键检测点所进行识别的拓扑一致性面状图斑作为研究计算基础,通过DP 算法进一步优化,实验表明,优化的DP 算法通过减少检测点数量、缩小检测点搜索范围,尤其是对潜在的拓扑冲突进行检测时,可减免对于拓扑一致性校验的频率,使整体简化速度得到极好改进,化简效率得到提高。

In order to improve the value of data utilization and enhance the integrity of geospatial database data, it is necessary to mine and locate the elements in geospatial database. In this paper, the method and rule of extracting comprehensive rules based on geospatial structure and feature semantics of spatial basic data are proposed. Aiming at the problems of long time-consuming and large error in the existing positioning methods of geospatial data, based on lidar, taking the data flow mobile geospatial database as the research background, the geospatial elements are located efficiently and accurately. The multi-scale processing model of dynamic and static vector data is constructed to reduce and alleviate the visual jump caused by scale switching between adjacent scales. Therefore, a new type of topological consistency patch which is identified by key detection points as the research and calculation basis is proposed in this paper, and is further optimized by DP algorithm. Experiments show that the optimized DP algorithm can reduce the number of detection points, narrow the search range of detection points, especially for the detection of potential topology conflicts, which can reduce the frequency of topology consistency verification and make the whole system as a whole. The speed of simplification and the efficiency of simplification are improved.

TN959