Details
| Originalsprache | Englisch |
|---|---|
| Titel des Sammelwerks | Pattern Recognition |
| Untertitel | 27th DAGM Symposium, Vienna, Austria, August 31 - September 2, 2005, Proceedings |
| Seiten | 417-424 |
| Seitenumfang | 8 |
| Band | 3663 |
| ISBN (elektronisch) | 978-3-540-31942-9 |
| Publikationsstatus | Veröffentlicht - 2005 |
| Veranstaltung | 27th DAGM (German Association for Pattern Recognition) Symposium, DAGM 2005 - Vienna, Österreich Dauer: 31 Aug. 2005 → 2 Sept. 2005 |
Publikationsreihe
| Name | Lecture Notes in Computer Science |
|---|---|
| Herausgeber (Verlag) | Springer Verlag |
| ISSN (Print) | 0302-9743 |
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.
ASJC Scopus Sachgebiete
- Mathematik (insg.)
- Theoretische Informatik
- Informatik (insg.)
- Allgemeine Computerwissenschaft
Zitieren
- Standard
- Harvard
- Apa
- Vancouver
- BibTex
- RIS
Pattern Recognition: 27th DAGM Symposium, Vienna, Austria, August 31 - September 2, 2005, Proceedings. Band 3663 2005. S. 417-424 (Lecture Notes in Computer Science).
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review
}
TY - GEN
T1 - Network Snakes-Supported Extraction of Field Boundaries from Imagery
AU - Butenuth, Matthias
AU - Heipke, Christian
PY - 2005
Y1 - 2005
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=27244441665&partnerID=8YFLogxK
U2 - 10.1007/11550518_52
DO - 10.1007/11550518_52
M3 - Conference contribution
AN - SCOPUS:27244441665
SN - 978-3-540-28703-2
VL - 3663
T3 - Lecture Notes in Computer Science
SP - 417
EP - 424
BT - Pattern Recognition
T2 - 27th DAGM (German Association for Pattern Recognition) Symposium, DAGM 2005
Y2 - 31 August 2005 through 2 September 2005
ER -