WAVELET MULTI-SCALE EDGE DETECTION FOR EXTRACTION OF GEOGRAPHIC FEATURES TO IMPROVE VECTOR MAP DATABASES

Focus of this paper is on the use of image processing techniques in detecting edges in high-resolution satellite imagery. It presents a robust detection algorithm, known as the Wavelet Multi-scale Edge Detector, that can perform well in noisy conditions. The authors note that a new method for storing the edges geographically will be proposed once edges are located.

• Supplemental Notes:
  • Publication Date: January 2000
• Corporate Authors:

  Coventry University

  Coventry,   United Kingdom 

  Alcatel Euteltracs

  ,    

  Bayerische Motoren Werke

  ,    

  Motor Industry Research Association

  Watling Street
  Nuneaton CV10 0TU, Warwickshire,   England 

  University of Illinois, Savoy

  Institute of Aviation, 14 Airport Road
  Savoy, IL  United States  61874
• Authors:
  • Gendron, Marlin L
  • Ioup, Juliette W
• Publication Date: 2000

Language

• English

Media Info

• Pagination: p. 79-92
• Serial:
  • The journal of navigation. Vol. 53, no. 1
  • Publisher: Coventry University

Subject/Index Terms

• TRT Terms: Databases; Image processing; Pattern recognition systems
• Subject Areas: Data and Information Technology;

Filing Info

• Accession Number: 00799463
• Record Type: Publication
• Source Agency: UC Berkeley Transportation Library
• Files: PATH
• Created Date: Oct 6 2000 12:00AM