Details
| Originalsprache | Englisch |
|---|---|
| Seiten (von - bis) | 405-423 |
| Seitenumfang | 19 |
| Fachzeitschrift | Photogrammetric Record |
| Jahrgang | 23 |
| Ausgabenummer | 124 SPEC. ISS. |
| Publikationsstatus | Veröffentlicht - 24 Nov. 2008 |
Abstract
Road junctions are important components of a road network. However, they are usually not explicitly modelled in existing road extraction approaches. In this research, road junctions are modelled in detail as area objects and an approach is proposed for their automatic extraction through the use of an existing geospatial database. Prior knowledge derived from a topographic geospatial database is used to facilitate the extraction. A new snake-based approach is proposed that makes use of the "ziplock snake" concept and whose external force is a combination of the gradient vector flow (GVF) force and the balloon force in order to delineate the junction border. Road arm extraction results provide fixed boundary conditions for the proposed snake. The approach was tested using aerial black-and-white Digital Mapping Camera (DMC) ortho-images of 0.1 m ground resolution taken from suburban and rural areas. The results obtained demonstrate the validity of this approach.
ASJC Scopus Sachgebiete
- Ingenieurwesen (insg.)
- Ingenieurwesen (sonstige)
- Informatik (insg.)
- Angewandte Informatik
- Erdkunde und Planetologie (insg.)
- Computer in den Geowissenschaften
- Erdkunde und Planetologie (insg.)
- Erdkunde und Planetologie (sonstige)
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in: Photogrammetric Record, Jahrgang 23, Nr. 124 SPEC. ISS., 24.11.2008, S. 405-423.
Publikation: Beitrag in Fachzeitschrift › Artikel › Forschung › Peer-Review
}
TY - JOUR
T1 - Road junction extraction from high-resolution aerial imagery
AU - Ravanbakhsh, Mehdi
AU - Heipke, Christian
AU - Pakzad, Kian
PY - 2008/11/24
Y1 - 2008/11/24
N2 - Road junctions are important components of a road network. However, they are usually not explicitly modelled in existing road extraction approaches. In this research, road junctions are modelled in detail as area objects and an approach is proposed for their automatic extraction through the use of an existing geospatial database. Prior knowledge derived from a topographic geospatial database is used to facilitate the extraction. A new snake-based approach is proposed that makes use of the "ziplock snake" concept and whose external force is a combination of the gradient vector flow (GVF) force and the balloon force in order to delineate the junction border. Road arm extraction results provide fixed boundary conditions for the proposed snake. The approach was tested using aerial black-and-white Digital Mapping Camera (DMC) ortho-images of 0.1 m ground resolution taken from suburban and rural areas. The results obtained demonstrate the validity of this approach.
AB - Road junctions are important components of a road network. However, they are usually not explicitly modelled in existing road extraction approaches. In this research, road junctions are modelled in detail as area objects and an approach is proposed for their automatic extraction through the use of an existing geospatial database. Prior knowledge derived from a topographic geospatial database is used to facilitate the extraction. A new snake-based approach is proposed that makes use of the "ziplock snake" concept and whose external force is a combination of the gradient vector flow (GVF) force and the balloon force in order to delineate the junction border. Road arm extraction results provide fixed boundary conditions for the proposed snake. The approach was tested using aerial black-and-white Digital Mapping Camera (DMC) ortho-images of 0.1 m ground resolution taken from suburban and rural areas. The results obtained demonstrate the validity of this approach.
KW - Balloon snake
KW - Geospatial database
KW - Gradient vector flow
KW - High resolution
KW - Road junction
KW - Ziplock snake
UR - http://www.scopus.com/inward/record.url?scp=57049186475&partnerID=8YFLogxK
U2 - 10.1111/j.1477-9730.2008.00496.x
DO - 10.1111/j.1477-9730.2008.00496.x
M3 - Article
AN - SCOPUS:57049186475
VL - 23
SP - 405
EP - 423
JO - Photogrammetric Record
JF - Photogrammetric Record
SN - 0031-868X
IS - 124 SPEC. ISS.
ER -