基于高分辨率RS影像的城市大比例尺GEO-DB

Large-scale Urban GEO-database Based on High Resolution Remote Sensing Image

传统控制测量方法在成图周期、数据存储和后续利用等方面难以满足城市大比例尺制图的要求。该文将高空间分辨率卫星遥感影像借助数据库技术用于城市大比例尺制图来提高制图效率。探讨了研究制图比例尺与遥感影像分辨率的关系,遥感影像处理方法,基于定制规则、自动化符号方案和自动拓扑的遥感图像自动采集方法,空间数据库构建技术,不同格式数据的统一存储、管理和利用,利用版本技术构建和管理时空地理数据库。

Traditional surveying process lags behind, because it has many shortcomings in mapping cost, mapping period, data storage and further usage. It is an effective way to use high spatial resolution remote sensing image to make large-scale urban maps. This paper discusses the relationship between mapping scale and image spatial resolution, and explains the data-abstracted method based on customized rules, intelligent symbols and automated topology. Then it expatiates on the core technology of get-database based on large-scale digital maps and high spatial resolutiou image, and argues how to establish and maintain a spatial database and serve other different applications by the public interface. Different format data are stored into the same spatial database which further provides comprehensive data and the thematic maps for urban administration, urban plan, digital city and GIS, The spatio-temporal get-database is established by the ＂versioning＂ which can manage different spatial and temporal data.