期刊论文

Evaluation model of level of detail consistency of the features on digital maps

Liu, Pengcheng(liupc@mail.ccnu.edu.cn)

中文

中国矿业大学学报

1000-1964

2019

48

2

437-444

10.13247/j.cnki.jcumt.000990

41671448:国家自然科学基金 41531180:国家自然科学基金 2017YFB0503502:国家重点研发计划

本校为第一且通讯机构

提出了一种基于计算几何和数理统计探测要素细节层次、评价要素间细节层次一致性的方法.以自然曲线和人工建筑多边形为例进行讨论,其中自然曲线以Delaunay三角网构建弯曲层次结构,将最下层的叶子弯曲作为要素的基本图形单元集;人工建筑多边形以边角组合模式提取凹陷、凸起等基本图形单元;然后获取要素的各图形单元的大小参数并构成参数集,采用数理统计的方法获取参数集的"下四分位点",以小于"下四分位点"的参数平均值作为要素细节层次参数,进而根据最小可辨距离推算要素的实际尺度（比例尺）;根据要素间细节层次参数均方差以及名义尺度与实际尺度的差异来度量数字地图中要素细节层次的一致性问题...

Methods based on computational geometry and statistics were proposed to detect the level of detail (LOD) of features and to evaluate the LOD consistency of the features on digital vector maps. Both natural curves and building polygons were used as examples to demonstrate the proposed method. For natural curves, Delaunay triangulation were adopted to construct the level structure of bend, and the bottom leaf bends were taken as basic graphic unit of curves. While for building polygons, pattern of side-and-angle combination was used to extract concavities, convexities and other basic graphic uni...