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  • 标题:Quality Evaluation of Generalization Algorithms
  • 本地全文:下载
  • 作者:Yevgeniya Filippovska ; Volker Walter ; Dieter Fritsch
  • 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:2008
  • 卷号:XXXVII Part B2
  • 页码:799-804
  • 出版社:Copernicus Publications
  • 摘要:Cartographic maps can only contain a certain amount of information. If the information density is too high, the map becomes hard to comprehend for a human viewer. A common solution for this problem is to simplify the geometry of the map objects or even to delete some of them. In this cartographic generalization, the rate of simplification depends on the scale of the map. However, to preserve the readability, the simplification follows certain rules. These rules must not necessarily minimize a geometric error, but might rather accept a certain geometric deviation to better suit the cognitive capabilities of humans. That means that for one object many different generalized objects are possible. In this paper we will discuss how generalized objects can be evaluated with quality measures in order to decide which generalization is the best one for a specific application
  • 关键词:Data Quality; Generalization; Building
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