RADAR SIGNAL PROCESSOR TO DETECT AND CLASSIFY SUBSURFACE ANOMALIES

The purpose of this project was to enhance and automate the detection and classification of roadway subsurface layer interfaces and anomalies with the use of ground penetrating radar (GPR). The project has resulted in a personal computer based GPR evaluation and analysis tool which analyzes road pavement layer thickness and characteristics of potential anomalous subsurface pavement regions in a rapid and semi-automated manner. This final report summarizes work performed on the project, the design leading to the GPR software evaluation and analysis tool, and operation and application examples using that tool. An Operator's Manual for the software tool is in a separately bound publication, which is an appendix to this report.

  • Corporate Authors:

    University of Florida, Gainesville

    Electronic Communications Laboratory, P.O. Box 140245
    Gainesville, FL  United States  32514-0245

    Florida Department of Transportation

    Haydon Burns Building, 605 Suwanee Street
    Tallahassee, FL  United States  32301

    Federal Highway Administration

    1200 New Jersey Avenue, SE
    Washington, DC  United States  20590
  • Publication Date: 1999-7

Language

  • English

Media Info

  • Features: Figures; References; Tables;
  • Pagination: 29 p.

Subject/Index Terms

Filing Info

  • Accession Number: 00784637
  • Record Type: Publication
  • Report/Paper Numbers: WPI 0510778,, Final Report
  • Files: TRIS, USDOT, STATEDOT
  • Created Date: Feb 29 2000 12:00AM