Tracking Road Centerlines from High Resolution Remote Sensing Images by Least Squares Correlation Matching

Feature extraction from remotely sensed images is an important component of geographic information systems (GIS). This article describes a method of tracking road centerlines from high resolution remote sensing images by least squares correlation matching. The authors report on the use of a semi-automatic algorithm for tracking road centerlines from satellite images at 1 m resolution. The study assumes that road centerlines are visible in the image and that among points on road centerlines similarity transformation holds. The authors contend that their least squares correlation matching algorithm works by defining a template around a user-given input point (which must lie on a road centerline) and then by matching the template against the image along the orientation of the road under consideration. Once matching succeeds, a new match proceeds by shifting a matched target window further along road orientation. By repeating the process above, one can obtain a series of points, which lie on a road centerline successively. The authors report on the use of this method with an Ikonos image over Seoul, Korea.

• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/00991112
• Authors:
  • Kim, Taejung
  • Park, Seung-Ran
  • Kim, Moon-Gyu
  • Jeong, Soo
  • Kim, Kyung-Ok
• Publication Date: 2004-12

Language

• English

Media Info

• Media Type: Print
• Features: Figures; Photos; References;
• Pagination: pp 1417-1422
• Serial:
  • Photogrammetric Engineering and Remote Sensing
  • Volume: 70
  • Issue Number: 12
  • Publisher: American Society for Photogrammetry and Remote Sensing
  • ISSN: 0099-1112

Subject/Index Terms

• TRT Terms: Aerial photogrammetry; Automation; Center lines; Geographic information systems; Image processing; Least squares method; Mapping; Remote sensing; Roads; Spectrum analysis
• Identifier Terms: IKONOS (Earth observation satellite)
• Uncontrolled Terms: Geospatial data; Linear features; Road networks
• Geographic Terms: Seoul (Korea)
• Subject Areas: Design; Highways; Operations and Traffic Management; Planning and Forecasting; I21: Planning of Transport Infrastructure; I72: Traffic and Transport Planning;

Filing Info

• Accession Number: 01002038
• Record Type: Publication
• Files: TRIS
• Created Date: Jul 18 2005 7:17AM