【摘要】 控制点、独立地物等在地图上呈点群状表达,如何高效、合理地实现此类要素的自动综合是地图多尺度表达的重要问题。文中在前人研究的基础上,提出一种基于圆增长特征的点状要素群结构化选取算法,实现点状要素群的自动选取。其基本原理是:根据一个点与其周围点重要性程度的比较来确定该点删除与否,从而确保其拓扑关系和几何信息的正确性。实验证明:该算法实用、有效。更多还原

【Abstract】 Control points and independent ground objects present a picture of point cluster in the map.It is an important issue to generalize these features automatically so that they can be represented in multi-scale maps.In light of the existing research achievements,an algorithm for point cluster simplification is provided in the paper on the basis of circle-growth which can realize the automatic selection of point clusters.The fundamental rule of this algorithm is to determine whether a point is deleted by comparing its importance value with its neighbors’,so that topological information and geometrical information are transmitted correctly.The experiments show that this algorithm is not only practical,but also effective.更多还原