图数统一表达地理模型及自补偿方法

李成名; 武鹏达; 印洁

doi:10.11947/j.AGCS.2017.20170221

测绘学报 >

2017 , Vol. 46 >Issue 10: 1688 - 1697

DOI: https://doi.org/10.11947/j.AGCS.2017.20170221

地图学与地理信息

图数统一表达地理模型及自补偿方法

李成名 ,
武鹏达 ,
印洁

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1. 中国测绘科学研究院, 北京 100830;
2. 山东科技大学测绘科学与工程学院, 山东青岛 266590

李成名(1968-),男,博士,研究员,主要从事数字城市、智慧城市、地图制图与综合自动化研究。E-mail:cmli@casm.ac.cn

收稿日期: 2017-04-28

修回日期: 2017-09-08

网络出版日期: 2017-10-26

基金资助

国家科技支撑计划（2015BAJ06B01）；国家基础测绘项目（A1705；A1713）

收起

Integrated Representation Geographical Model and Self-compensation Method for Entity and Symbol

LI Chengming ,
WU Pengda ,
YIN Jie

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1. Chinese Academy of Surveying and Mapping, Beijing 100830, China;
2. College of Geomatics, Shandong University of Science and Technology, Qingdao 266590, China

Received date: 2017-04-28

Revised date: 2017-09-08

Online published: 2017-10-26

Supported by

The National Key Technology Research and Development Program of the Ministry of Science and Technology of China (No. 2015BAJ06B01);The National Basic Surveying and Mapping Project (Nos. A1705;A1713)

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摘要

自20世纪初地图综合被提出以来，经过几十年的完善和发展，逐步实现了由完全手工作业模式向计算机自动化综合模式的转变，然而当前自动化水平仍比较有限。本文结合地图学理论和符号几何特征设计规范，建立了由模型基元和贝塞尔曲线构成的统一表达地理模型，辅之以NIV空间关系模型，提出了模型实体化的拓扑补偿和模型地图化的制图补偿自动化实现方法，探索一条解决地图自动综合这一世界性难题的方法与思路。最后展望了地图自动综合的前景以及下一步努力的方向。

关键词： 地图综合; 模型基元; 空间关系模型; 模型实体化; 模型地图化; 拓扑补偿; 制图补偿

本文引用格式

李成名 , 武鹏达 , 印洁 . 图数统一表达地理模型及自补偿方法[J]. 测绘学报, 2017 , 46(10) : 1688 -1697 . DOI: 10.11947/j.AGCS.2017.20170221

Abstract

Since the concept was proposed at the beginning of last century, cartography generalization has been gradually changed from full manual operation mode to computer automation mode after decades of improvement and development. However, the level of map automation is still relatively low until now. So, this paper puts forward an integrated representation of geographical model for entity and symbol on the basic of innovative model units and spatial relation model. Then the automatic methods of topological compensation for model entity and cartography compensation for model symbolization are established, we want to explore a solution to solve the worldwide problem of automatic cartography generalization. Finally, this paper look into the future and developmental direction of automatic cartography generalization.

Key words： cartography generalization; model units; spatial relation model; model entity; model symbolization; topological compensation; cartography compensation

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