FEATURE TAGGING

The automated recognition of cartographic symbols such as dual cased roads and railroads would significantly reduce the manual labor involved in generating digital cartographic data bases. The effort described in this report was successful in detecting 96.5% of the railroad symbol components. There were only 1.5% false taggings. 98.3% of the dual cased roads were tagged with only .7% false taggings. Goodyear Aerospace Corporation (GAC) believes that minor modifications to the algorithms would produce near perfect results for both features. Because of the success of this effort, GAC feels that the project should be continued to allow evaluation on existing map sheet data and expansion of the effort to additional cartographic symbols. (Author)

  • Corporate Authors:

    Goodyear Aerospace Corporation

    Akron, OH  United States 

    Army Engineer Topographic Laboratories

    Fort Belvoir, VA  United States 
  • Authors:
    • Biecker, G A
    • Potter, Jerry L
    • Paden, D S
  • Publication Date: 1980-4-1

Media Info

  • Pagination: 32 p.

Subject/Index Terms

Filing Info

  • Accession Number: 00328563
  • Record Type: Publication
  • Source Agency: National Technical Information Service
  • Report/Paper Numbers: Final Rpt., ETL-0227
  • Contract Numbers: DAAK70-79-C-0070
  • Files: TRIS
  • Created Date: Apr 15 1981 12:00AM