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2005 | OriginalPaper | Chapter

Network Snakes-Supported Extraction of Field Boundaries from Imagery

Authors: Matthias Butenuth, Christian Heipke

Published in: Pattern Recognition

Publisher: Springer Berlin Heidelberg

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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.

Metadata
Title
Network Snakes-Supported Extraction of Field Boundaries from Imagery
Authors
Matthias Butenuth
Christian Heipke
Copyright Year
2005
Publisher
Springer Berlin Heidelberg
DOI
https://doi.org/10.1007/11550518_52

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