基于Delaunay三角网的跨比例尺点要素综合算法

Multi-scale Map Generalization Algorithm of Point Feature Based on Delaunay Triangulation

随着网络地图的兴起以及地理信息在各行业中的应用,兴趣点已经成为地理信息应用中不可或缺的一类要素,在地理信息应用中起到越来越重要的作用。但随之而来的,跨比例尺间的兴趣点取舍问题却成为地理信息应用中的一个难点。提出一种基于Delaunay三角网的跨比例尺点要素综合算法,结合空间和属性特征解决了跨比例尺兴趣点的取舍问题。

With the rise of the network map,and geographic information applications in various industries,interest points has become an integral part of the geographic information features and play an increasingly important role in the geographic information application.But the ensuing cross-scale interest point trade-off has become a difficult geographic information applications.This paper presents a delaunay triangulation-based cross-scale point feature algorithm combining spatial and attribute characteristics to solve the problem of cross-scale interest point of the trade-offs.