地球信息科学学报 ›› 2020, Vol. 22 ›› Issue (8): 1589-1596.doi: 10.12082/dqxxkx.2020.200004

• 地球信息科学理论与方法 •    下一篇

DEM建模视角下的城市道路分类与表达

陶宇1,3(), 王春2,3,*(), 徐燕3, 张光祖1,3, 宋素素1,3, 杨维4   

  1. 1.安徽理工大学测绘学院,淮南 232001
    2.实景地理环境安徽省重点实验室,滁州 239000
    3.滁州学院地理信息与旅游学院,滁州 239000
    4.云南大学资源环境与地球科学学院,昆明 650000
  • 收稿日期:2020-01-01 修回日期:2020-04-02 出版日期:2020-08-25 发布日期:2020-10-25
  • 通讯作者: 王春 E-mail:TYtaoyu@outlook.com;wangchun93@126.com
  • 作者简介:陶 宇(1996— ),女,安徽广德人,硕士生,主要从事DEM数字地形分析与应用。E-mail:TYtaoyu@outlook.com
  • 基金资助:
    国家自然科学基金项目(41571398);国家自然科学基金项目(41501445)

Classification and Expression of Urban Road from the Perspective of DEM Modeling

TAO Yu1,3(), WANG Chun2,3,*(), XU Yan3, ZHANG Guangzu1,3, SONG Susu1,3, YANG Wei4   

  1. 1. School of Geodesy and Geomatics, Anhui University of Science and Technology, Huainan 232001, China
    2. Anhui Province Key Laboratory of Physical Geographical Environment, Chuzhou 239000, China
    3. Geographic Information and Tourism College, Chuzhou University, Chuzhou 239000, China
    4. Resources Environment and Geosciences College, Yunnan University, Kunming 650000, China
  • Received:2020-01-01 Revised:2020-04-02 Online:2020-08-25 Published:2020-10-25
  • Contact: WANG Chun E-mail:TYtaoyu@outlook.com;wangchun93@126.com
  • Supported by:
    National Natural Science Foundation of China(41571398);National Natural Science Foundation of China(41501445)

摘要:

城市数字高程模型(Digital Elevation Model,DEM)是城市最重要的基础地理信息数据之一。城市道路DEM建模是城市DEM构建的重要组成部分,而道路分类是城市道路DEM建模的重要基础和前提。由于现有的城市道路分类方法在城市道路形态表达上有一定程度的失真,无法准确反映道路平面形态特征,导致其难以满足未来的地表过程模拟的需求。针对这一问题,本文从DEM建模视角出发,通过解析城市道路的构成,分析城市道路形态特征,针对现有的道路分类方法的不足,提出了一种顾及道路形态的城市道路分类方法。并在此基础上,探讨了城市道路的DEM表达方式,同时选取南京市局部区域为实验区,以DLG数据为数据源,对本文提出的城市道路分类方法与表达进行了相关的实验与分析。结果表明:与现有的方法相比,基于本文所提出的城市道路分类方法构建的道路DEM所表达的道路形态更符合实际实验区的道路形态,未出现局部路面不正常的突变情况且城市道路要素框架结构明显,所表达的城市道路地形更为精细,可以为雨洪模拟和水文分析等提供重要基础。因此,本文的道路分类方法能够清晰有效地辅助城市道路DEM建模,为高精度城市道路DEM的构建提供基础和参考。

关键词: 数字高程模型, 城市, 道路, 分类, 数字线划地图, 地形表达, 地形建模, 数字地形分析

Abstract:

The Digital Elevation Model (DEM) is one of the most important basic geographic information data of a city. Urban road DEM modeling is an important part of urban DEM construction, while road classification is an important foundation and prerequisite of urban road DEM modeling. However, the existing urban road classification methods have a certain degree of distortion in expression of urban road surface. They cannot accurately reflect the planar morphological characteristics of the road, making it difficult to meet the needs of future surface processes simulation. In view of this problem, based on the composition of urban roads, this paper analyzed the characteristics of urban road morphology from the perspective of DEM modeling. An urban road classification method that takes into account the road morphology was proposed to address the shortcomings of existing road classification methods. Based on this, the DEM of urban roads was further explored. In our paper, we selected a subset of Nanjing as the experimental area and used DLG data was as the data source, to further verify the strengths of our urban road classification method. Our results show that the road morphology derived from the road DEM that was constructed based on our urban road classification method was more consistent with the actual road morphology than the existing methods. The framework structure of urban roads was obvious without abnormal changes on the local road surface. The urban road topography was expressed with finer details, which could be used as an important foundation for rain and flood simulation and hydrological analysis, etc. Thus, the road classification method proposed in this paper can assist the modeling of urban road DEM effectively and provide a reference for the construction of high-precision urban road DEM.

Key words: DEM, city, road, classification, DLG, terrain expression, terrain modeling, DTA