Road junction extraction from high resolution aerial images

Publikation: Beitrag in FachzeitschriftKonferenzaufsatz in FachzeitschriftForschungPeer-Review

Autoren

  • M. Ravanbakhsh
  • C. Heipke
  • K. Pakzad
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Details

OriginalspracheEnglisch
Seiten (von - bis)131-138
Seitenumfang8
FachzeitschriftInternational Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives
Jahrgang36
PublikationsstatusVeröffentlicht - 2007
VeranstaltungJoint Conference of ISPRS Working Groups I/2, III/2, III/4, III/5, IV/3 on Photogrammetric Image Analysis, PIA 2007 - Munich, Deutschland
Dauer: 19 Sept. 200721 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.

ASJC Scopus Sachgebiete

Zitieren

Road junction extraction from high resolution aerial images. / Ravanbakhsh, M.; Heipke, C.; Pakzad, K.
in: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, Jahrgang 36, 2007, S. 131-138.

Publikation: Beitrag in FachzeitschriftKonferenzaufsatz in FachzeitschriftForschungPeer-Review

Ravanbakhsh, M, Heipke, C & Pakzad, K 2007, 'Road junction extraction from high resolution aerial images', International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, Jg. 36, S. 131-138.
Ravanbakhsh, M., Heipke, C., & Pakzad, K. (2007). Road junction extraction from high resolution aerial images. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, 36, 131-138.
Ravanbakhsh M, Heipke C, Pakzad K. Road junction extraction from high resolution aerial images. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives. 2007;36:131-138.
Ravanbakhsh, M. ; Heipke, C. ; Pakzad, K. / Road junction extraction from high resolution aerial images. in: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives. 2007 ; Jahrgang 36. S. 131-138.
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TY - JOUR

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AU - Ravanbakhsh, M.

AU - Heipke, C.

AU - Pakzad, K.

PY - 2007

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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.

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