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Network Snakes-Supported Extraction of Field Boundaries from Imagery

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Part of the Lecture Notes in Computer Science book series (LNIP,volume 3663)

Abstract

A fully automatic method to extract field boundaries from imagery is described in this paper. The fields are represented together with additional prior knowledge in the form of GIS-data in a semantic model. The approach consists of two main steps: Firstly, a segmentation is carried out in a coarse scale resulting in preliminary field boundaries. In a second step network snakes are used to improve the geometrical correctness of the preliminary boundaries taking into account topological constraints while exploiting the local image information. Focussing on the network snakes and their specialties the results demonstrate the potential of the proposed solution.

Keywords

  • Remote Sensing
  • Wind Erosion
  • Semantic Model
  • Coarse Scale
  • Aerial Image

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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© 2005 Springer-Verlag Berlin Heidelberg

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Butenuth, M., Heipke, C. (2005). Network Snakes-Supported Extraction of Field Boundaries from Imagery. In: Kropatsch, W.G., Sablatnig, R., Hanbury, A. (eds) Pattern Recognition. DAGM 2005. Lecture Notes in Computer Science, vol 3663. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11550518_52

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  • DOI: https://doi.org/10.1007/11550518_52

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-28703-2

  • Online ISBN: 978-3-540-31942-9

  • eBook Packages: Computer ScienceComputer Science (R0)