Details
| Original language | English |
|---|---|
| Pages (from-to) | 131-138 |
| Number of pages | 8 |
| Journal | International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives |
| Volume | 36 |
| Publication status | Published - 2007 |
| Event | Joint Conference of ISPRS Working Groups I/2, III/2, III/4, III/5, IV/3 on Photogrammetric Image Analysis, PIA 2007 - Munich, Germany Duration: 19 Sept 2007 → 21 Sept 2007 |
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, we model road junctions in detail as area objects and propose a methodology for their automatic extraction through the use of an existing geospatial database. Prior knowledge derived from the geospatial database is used to facilitate the extraction. We propose a new approach called GVF Ziplock snake that integrates the GVF (Gradient Vector Flow) field as an external force field into a Ziplock snake in order to delineate the junction border. Road extraction results provide fixed boundary conditions for the proposed snake. The approach was tested using Digital Mapping Camera (DMC) images of 0.1 m ground resolution taken from suburban and rural areas. Extraction results are represented in order to illustrate different steps of the method and to prove its feasibility.
Keywords
- Geospatial database, Gradient vector flow (GVF), High resolution images, Road junction, Ziplock snake
ASJC Scopus subject areas
- Computer Science(all)
- Information Systems
- Social Sciences(all)
- Geography, Planning and Development
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In: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, Vol. 36, 2007, p. 131-138.
Research output: Contribution to journal › Conference article › Research › peer review
}
TY - JOUR
T1 - Road junction extraction from high resolution aerial images
AU - Ravanbakhsh, M.
AU - Heipke, C.
AU - Pakzad, K.
PY - 2007
Y1 - 2007
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, we model road junctions in detail as area objects and propose a methodology for their automatic extraction through the use of an existing geospatial database. Prior knowledge derived from the geospatial database is used to facilitate the extraction. We propose a new approach called GVF Ziplock snake that integrates the GVF (Gradient Vector Flow) field as an external force field into a Ziplock snake in order to delineate the junction border. Road extraction results provide fixed boundary conditions for the proposed snake. The approach was tested using Digital Mapping Camera (DMC) images of 0.1 m ground resolution taken from suburban and 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 modelled 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 an existing geospatial database. Prior knowledge derived from the geospatial database is used to facilitate the extraction. We propose a new approach called GVF Ziplock snake that integrates the GVF (Gradient Vector Flow) field as an external force field into a Ziplock snake in order to delineate the junction border. Road extraction results provide fixed boundary conditions for the proposed snake. The approach was tested using Digital Mapping Camera (DMC) images of 0.1 m ground resolution taken from suburban and rural areas. Extraction results are represented in order to illustrate different steps of the method and to prove its feasibility.
KW - Geospatial database
KW - Gradient vector flow (GVF)
KW - High resolution images
KW - Road junction
KW - Ziplock snake
UR - http://www.scopus.com/inward/record.url?scp=57049144093&partnerID=8YFLogxK
M3 - Conference article
AN - SCOPUS:57049144093
VL - 36
SP - 131
EP - 138
JO - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives
JF - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives
SN - 1682-1750
T2 - Joint Conference of ISPRS Working Groups I/2, III/2, III/4, III/5, IV/3 on Photogrammetric Image Analysis, PIA 2007
Y2 - 19 September 2007 through 21 September 2007
ER -