Feature Tagging.
Abstract
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 detection 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)
Document Details
- Document Type
- Technical Report
- Publication Date
- Apr 01, 1980
- Accession Number
- ADA091691
Entities
People
- D. S. Paden
- G. A. Biecker
- J. L. Potter
Organizations
- Goodyear Aerospace