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Automatic Mapping of Settlement Areas Using a Knowledge-Based Image Interpretation System

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Computer Vision Systems (ICVS 2003)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2626))

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Abstract

We introduce the knowledge-based image interpretation system GeoAIDA and give examples for an image operator, extracting trees from aerial imagery. Moreover we present a generic grouping approach, based on the Relative Neighborhood Graph. The application of the tree operator to a test site shows that the introduced approach for the delineation of trees using Active Contour Models leads to good results. The grouping algorithm is used in order to identify building rows. In the paper we shortly describe the theory of the image operator, and the performance of the whole system is demonstrated by means of examples. Results from a test area show that the information about building rows can be used for the enhancement of the building reconstruction.

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Author information

Authors and Affiliations

  1. Institute of Photogrammetry and GeoInformation (IPI), University of Hannover, Nienburger Str. 1, D-30167, Hannover, Germany

    Bernd-Michael Straub & Markus Gerke

  2. Institute of Communication Theory and Signal Processing (TNT), University of Hannover, Appelstr. 9A, D-30167, Hannover, Germany

    Martin Pahl

Authors
  1. Bernd-Michael Straub
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  2. Markus Gerke
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  3. Martin Pahl
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Editor information

Editors and Affiliations

  1. INRIA Rhône-Alpes, 655 Ave de l’Europe, 38330, Montbonnot, France

    James L. Crowley

  2. Montefiore Institute, University of Liège, 4000, Liège Sart-Tilman, Belgium

    Justus H. Piater

  3. Automation and Control Institute, Vienna University of Technology, Gusshausstraße 27/376, 1040, Vienna, Austria

    Markus Vincze

  4. Institute of Digital Image Processing, Joanneum Research, Wastiangasse 6, 8010, Graz, Austria

    Lucas Paletta

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© 2003 Springer-Verlag Berlin Heidelberg

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Straub, BM., Gerke, M., Pahl, M. (2003). Automatic Mapping of Settlement Areas Using a Knowledge-Based Image Interpretation System. In: Crowley, J.L., Piater, J.H., Vincze, M., Paletta, L. (eds) Computer Vision Systems. ICVS 2003. Lecture Notes in Computer Science, vol 2626. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-36592-3_34

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  • DOI: https://doi.org/10.1007/3-540-36592-3_34

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-00921-4

  • Online ISBN: 978-3-540-36592-1

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