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基于遥感影像的城镇空间数据建库技术框架研究 被引量:7

A FrameWork of Building Spatial Database of Town Based on Remote Sensing Image
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摘要 快速、高效和低成本地建立与更新小城镇基础空间数据库,是建立小城镇建设规划管理信息系统,实现小城镇规划建设管理信息化的关键。本文提出了基于0.61m分辨率的QuikBird遥感影像进行屏幕矢量化的方式,同时综合历史规划设计资料和工程测量资料,建立小城镇基础空间数据库的技术方案,并以北京顺义区后沙峪镇基础空间数据库建设为例,证明了方案的可行性和有效性。 As economy booms in China, the number of town grows rapidly. The rapid urbanization has brought many problems, such as the abuse of land development, the chaos of construction market, etc. Informationization based on GIS, RS and GPS is dedicated to this aid, that is, to build up Geographical Information System of planning and construction of town. However, the biggest obstacle of informationization is the cost of building the spatial database, which most of towns cannot afford. For this problem, by linking high-resolution remote sensing data, SuperMap GIS, and GPS, this paper proposes a workable solution. Quick Bird Image of towns, digitized surveyed maps and planned maps, and CAD data are available for this purpose. Firstly, CAD data is extracted and reclassified into layers according to Land Use Planning Database Standard for County; if CAD data is not available, maps can be changed into vector and then classified into different layers.Next, Quick Bird Image is used to complement and amend the layers, that is, to com-plement somewhere if it is still blank and to update somewhere if it already changed.Finally we render the layers with new color, symbols, linestyles or hatches.This solution is practical since data noted above can be acquired not only easily but in low cost; for example, up-to-date Quick Bird Image can be bought at the price of RMB 200~300 yuan/km2 , Supermap GIS software is easy to use. We test our method for the Houshayu Town in Beijing. The results confirm the effectiveness of RS-based approach. It spares not only money but time since two workers can build such a database successfully in three weeks.
出处 《地理科学进展》 CSCD 北大核心 2004年第4期103-112,共10页 Progress in Geography
基金 建设部"十五"国家科技攻关计划<居住区与小城镇建设关键技术研究>之小城镇规划建设信息系统.
关键词 小城镇 空间数据库 快鸟影像 town spatial database quick bird GIS
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参考文献3

  • 1Lloyd Coulter,Douglas et al.Coomparison of high spatial resolution imagery for efficient generation of GIS vegetation layers.Photogrammetric Engineering &amp; remote Sensing,2000,66(11).
  • 2Quackenbush L J,Hopkins P F et al.Developing forestry products from high resolution digital aerial imagery.Photogrammetric Engineering &amp; remote Sensing,2000,66(11).
  • 3Zhou Guoqing,LiRon.Accuracy evalution of ground points from IKONOS high-resolution satellite imagery.Photogrammetric Engineering &amp; remote Sensing,2000,66(9).

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