Details
| Originalsprache | Englisch |
|---|---|
| Titel des Sammelwerks | 2007 Urban Remote Sensing Joint Event |
| Herausgeber (Verlag) | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Print) | 1424407125, 9781424407125 |
| Publikationsstatus | Veröffentlicht - 2007 |
| Veranstaltung | 2007 Urban Remote Sensing Joint Event, URS - Paris, Frankreich Dauer: 11 Apr. 2007 → 13 Apr. 2007 |
Abstract
Road junctions are important components of a road network. However, they are usually not explicitly modeled in existing road extraction approaches. In this research, we model road junctions in detail as area objects and propose a methodology for their automatic extraction through the use of existing geospatial data. Prior knowledge derived from the geospatial data is used to facilitate the extraction. We define a circular region around the junction center to assure accurate and reliable results. The approach is tested using black and white images of 0.4 m ground resolution taken from open rural areas. Extraction results are represented in order to illustrate different steps of the method and to prove its feasibility.
ASJC Scopus Sachgebiete
- Ingenieurwesen (insg.)
- Elektrotechnik und Elektronik
Zitieren
- Standard
- Harvard
- Apa
- Vancouver
- BibTex
- RIS
2007 Urban Remote Sensing Joint Event. Institute of Electrical and Electronics Engineers Inc., 2007. 4234443.
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review
}
TY - GEN
T1 - Knowledge-based road junction extraction from high-resolution aerial images
AU - Ravanbakhsh, Mehdi
AU - Heipke, Christian
AU - Pakzad, Kian
PY - 2007
Y1 - 2007
N2 - Road junctions are important components of a road network. However, they are usually not explicitly modeled in existing road extraction approaches. In this research, we model road junctions in detail as area objects and propose a methodology for their automatic extraction through the use of existing geospatial data. Prior knowledge derived from the geospatial data is used to facilitate the extraction. We define a circular region around the junction center to assure accurate and reliable results. The approach is tested using black and white images of 0.4 m ground resolution taken from open rural areas. Extraction results are represented in order to illustrate different steps of the method and to prove its feasibility.
AB - Road junctions are important components of a road network. However, they are usually not explicitly modeled in existing road extraction approaches. In this research, we model road junctions in detail as area objects and propose a methodology for their automatic extraction through the use of existing geospatial data. Prior knowledge derived from the geospatial data is used to facilitate the extraction. We define a circular region around the junction center to assure accurate and reliable results. The approach is tested using black and white images of 0.4 m ground resolution taken from open rural areas. Extraction results are represented in order to illustrate different steps of the method and to prove its feasibility.
UR - http://www.scopus.com/inward/record.url?scp=34648828199&partnerID=8YFLogxK
U2 - 10.1109/URS.2007.371844
DO - 10.1109/URS.2007.371844
M3 - Conference contribution
AN - SCOPUS:34648828199
SN - 1424407125
SN - 9781424407125
BT - 2007 Urban Remote Sensing Joint Event
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2007 Urban Remote Sensing Joint Event, URS
Y2 - 11 April 2007 through 13 April 2007
ER -