• DocumentCode
    2382684
  • Title

    Evaluation methods for curvilinear feature extraction

  • Author

    Doucette, Peter ; Martin, Ann ; Kavanagh, Chris ; McIntyre, Tim ; Barton, Steven ; Grodecki, Jacek ; Malitz, Seth ; Tang, Matthew ; Nolting, Josh

  • Author_Institution
    Contractor for NGA, Reston, VA, USA
  • fYear
    2009
  • fDate
    14-16 Oct. 2009
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    The application of quantitative performance evaluation methods can provide useful insights in determining the utility of computer-assisted methods for delineating geographic features from remotely sensed images. Evaluation concepts are demonstrated with road centerlines in particular, but are applicable to similar feature types such as paths, trails, or rivers. The two comparative measures used to differentiate conventional versus computer-assisted delineation are 1) user clock time, and 2) spatial consistency. Our evaluation results with road centerlines demonstrate how such quantitative analyses can be used to determine the utility of computer-assisted methods from both developmental and operational perspectives.
  • Keywords
    feature extraction; geographic information systems; performance evaluation; remote sensing; roads; computer-assisted delineation; curvilinear feature extraction; geographic feature delineation; quantitative performance evaluation methods; remotely sensed images; road centerlines; spatial consistency; user clock time; Application software; Cams; Clocks; Computer vision; Feature extraction; Geographic Information Systems; Pattern recognition; Rivers; Roads; Time measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Applied Imagery Pattern Recognition Workshop (AIPRW), 2009 IEEE
  • Conference_Location
    Washington, DC
  • ISSN
    1550-5219
  • Print_ISBN
    978-1-4244-5146-3
  • Electronic_ISBN
    1550-5219
  • Type

    conf

  • DOI
    10.1109/AIPR.2009.5466322
  • Filename
    5466322