Semi-automatic road extraction from high-resolution satellite image

Huijing Zhao, Jun Kumagai, Masafumi Nakagawa, Ryosuke Shibasaki

研究成果: Conference article査読

43 被引用数 (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.

ジャーナルInternational Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives
出版ステータスPublished - 2002 1月 1
イベント2002 International Symposium of ISPRS Commission III on Photogrammetric Computer Vision, PCV 2002 - Graz, Austria
継続期間: 2002 9月 92002 9月 13

ASJC Scopus subject areas

  • 情報システム
  • 地理、計画および開発


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