Semi-automatic road extraction from high-resolution satellite image

Huijing Zhao, Jun Kumagai, Masafumi Nakagawa, Ryosuke Shibasaki

Research output: Contribution to journalConference articlepeer-review

43 Citations (Scopus)


In this research, a method is proposed to create and/or update road maps in urban/suburban area using high-resolution satellite images. “Road mask” is defined in this research as a mask of road pixels, which are discriminated from others using a commercial remote sensing software. “Road seed” is defined in this research as a directional point, indicating that a road is passing through the point along the direction. Road seeds are extracted from edge pixels. Road line extraction is conducted in a semi-automatic way by fusing both road mask and road seeds. Experiments are conducted using an IKONOS image of nearby KAWAGOE city, Japan, with a ground resolution of 1 meter, and four bands, i.e. red, green, blue, and near infrared. Experimental results show that the method is valid in extracting main roads in high dense building area and all roads in countryside efficiently.

Original languageEnglish
JournalInternational Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives
Publication statusPublished - 2002 Jan 1
Externally publishedYes
Event2002 International Symposium of ISPRS Commission III on Photogrammetric Computer Vision, PCV 2002 - Graz, Austria
Duration: 2002 Sep 92002 Sep 13


  • High-resolution satellite image
  • Road extraction
  • Semi-automatic
  • Urban area

ASJC Scopus subject areas

  • Information Systems
  • Geography, Planning and Development


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