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International Workshop on Graphics Recognition

GREC 1997: Graphics Recognition Algorithms and Systems pp 175–193Cite as

Topographic maps automatic interpretation : Some proposed strategies

  • Map Processing
  • Conference paper
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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1389))

Abstract

A project on topographic maps interpretation is being driven at I.G.N. (Institut Géographique National, France). The aim of this project is to provide a totally automatic interpretation with a call to operator on the only suspicious cases detected by the program. Main difficulties of this task are due to maps density and variety of legend. To overcome this problem, we have adopted a “peeling onion strategy” where we progressively subtract of the map the already recognized layers to facilitate the interpretation of remaining more complex layers. We present numerous results of the layers already extracted. The most important point to address in the near future, will be the computation of reliability indicator allowing to throw an alert-process.

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Author information

Authors and Affiliations

  1. Institut Géographique National — DT / MATIS, 2 av. Pasteur, 94160, Saint Mandé, France

    Marc Pierrot Deseilligny, Robert Mariani & Jacque Labiche

  2. La3i-LACIS, UFR Sc. et Tech., Université de Rouen, 76281, Mont Saint Aignan, France

    Remy Mullot

Authors
  1. Marc Pierrot Deseilligny
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  2. Robert Mariani
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  3. Jacque Labiche
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  4. Remy Mullot
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Editor information

Karl Tombre Atul K. Chhabra

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© 1998 Springer-Verlag Berlin Heidelberg

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Pierrot Deseilligny, M., Mariani, R., Labiche, J., Mullot, R. (1998). Topographic maps automatic interpretation : Some proposed strategies. In: Tombre, K., Chhabra, A.K. (eds) Graphics Recognition Algorithms and Systems. GREC 1997. Lecture Notes in Computer Science, vol 1389. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-64381-8_48

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  • DOI: https://doi.org/10.1007/3-540-64381-8_48

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-64381-4

  • Online ISBN: 978-3-540-69766-4

  • eBook Packages: Springer Book Archive

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