几何特征重要度算法支持下的大规模线状要素地图综合方法  

A large-scale linear element map synthesis method supported by geometric feature importance algorithm

作　　者：陆向珍 康二梅[1,2] LU Xiangzhen;KANG Ermei(Basic Geographic Information Center of Gansu Province,Lanzhou 730000,China;Natural Resources Satellite Application Technology Center of Gansu Province,Lanzhou 730000,China)

机构地区：[1]甘肃省基础地理信息中心,甘肃兰州730000 [2]甘肃省自然资源卫星应用技术中心,甘肃兰州730000

出　　处：《测绘通报》2024年第6期176-181,共6页Bulletin of Surveying and Mapping

摘　　要：面向地理信息单个矢量瓦片数据在地图缩放级别较低时出现的大规模线状要素地图渲染效率低的问题,本文提出了一种几何特征重要度算法支持下的大规模线状要素地图综合方法。该方法提出了线要素几何特征重要度指数,作为线要素删除时的排序依据,从而实现顾及数据全局特征的线要素自动综合,既保留了单个矢量瓦片上的主要几何信息,又有效提高了地图渲染的效率。以“天地图·甘肃”矢量数据为例的试验结果表明,通过应用本文方法,线要素渲染速度比原来提升了3倍。Aiming at the problem of low rendering efficiency of large-scale linear element map when the scale level of single vector tile data of geographic information is low,this paper proposes a large-scale linear element map synthesis method supported by geometric feature importance algorithm.In this method,the importance index of geometric features of line elements is proposed as the ranking basis when line elements are deleted,so as to realize the automatic synthesis of line elements taking into account the global characteristics of data,which not only retains the main geometric information on a single vector tile,but also effectively improves the efficiency of map rendering.The experimental results show that the rendering speed of line elements is increased by 3 times by applying this method to the vector data of“MapWorld Gansu”.

关 键 词：几何重要度 大规模 线状要素 地图综合 矢量瓦片技术 

分 类 号：P28[天文地球—地图制图学与地理信息工程]