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Geographic map understanding : Algorithms for hydrographic and road networks reconstruction

机译:地理地图理解:水文和道路网络重建的算法

摘要

The French Institut Géographique National (IGN) wants to develop an automated map understanding system, for the geographicaludmaps at scale 1/25000. The aim is to automatically convert the 2000 cartographic paper-maps in a geographical objectsuddatabase, directly usable by a GIS. This paper describes a high-level method for the automated reconstruction of the networkudgraphs, represented on the French geographic maps . This method is applied to the hydrographic and road networks, symbolizedudwith dashed lines, interrupted solid lines and fragmented textured areas . The graph theory paradigm is used, which allows toudnaturally model those networks by graphs, and to formalize the constraints for their reconstruction . A priori knowledges on naturaludand cartographic networks are directly used in the reconstruction process, and translated either as invariants the networks mustudverify during the reconstruction, either as quality criterion for the likely considered connexions .
机译:法国国家地理学会(IGN)希望开发一种自动地图理解系统,用于比例为1/25000的地理 udmap。目的是在GIS直接可使用的地理对象 uddatabase中自动转换2000张制图纸质地图。本文介绍了一种用于在法国地理地图上自动重建网络 udgraph的高级方法。此方法适用于水文和道路网络,虚线虚线,实线中断和纹理区域破碎的符号 ud。使用了图论范式,它可以通过图自然地对那些网络建模,并为重构它们的形式化约束。关于自然 udand制图网络的先验知识将直接用于重建过程,或者将其翻译为网络在重建过程中必须进行 uverged的不变性,或者作为可能考虑的连接的质量标准。

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