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  • 标题:AUTOMATIC CHANGE DETECTION OF GIS DATABASES BASED ON CLASSIFICATION OF MULTISPECTRAL DATA
  • 本地全文:下载
  • 作者:Volker Walter
  • 期刊名称:ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
  • 印刷版ISSN:2194-9042
  • 电子版ISSN:2194-9050
  • 出版年度:2000
  • 卷号:XXXIII Part B4 (/1-3)
  • 页码:1138-1145
  • 出版社:Copernicus Publications
  • 摘要:Digital spatial data underlay strong temporal changes. In order to update these changes, the data are checked manually by operators for their correctness by superimposing them with up-to-date orthophotos. This is also the procedure which is applied with ATKIS data. ATKIS is the German topographic cartographic spatial database [1] and presently contains more than 60 different feature types for the whole area of Germany in the scale of 1:25,000 (beside this scale there are further levels of data aggregation in the scales 1:200,000 and 1:1,000,000 which were not used in this work). The ATKIS data are the basis for a large number of applications in very different fields, like environmental planing, street information systems, forest monitoring and a lot more. In order to eliminate the bottle-neck o f manual updating, a software was developed at the Institute for Photogrammetry (ifp) for the automatic detection o f updates in ATKIS data. In this paper the used approach is presented and the results are discussed
  • 关键词:classification; change detectio n; update of GIS; remote sensing data; ATKIS
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