• DocumentCode
    1260734
  • Title

    Tractor Wheel Tracks Detection, Delineation, and Characterization in Very High Spatial Resolution SAR Imagery

  • Author

    Corbane, Christina ; Baghdadi, Nicolas ; Clairotte, Michaël

  • Author_Institution
    Joint Res. Centre, Eur. Comm., Ispra, Italy
  • Volume
    8
  • Issue
    6
  • fYear
    2011
  • Firstpage
    1130
  • Lastpage
    1134
  • Abstract
    Compacted tractor wheel tracks have been recognized as key factors controlling runoff and erosion processes in agricultural landscapes. In this context, the availability of an automatic tool for wheel tracks detection and characterization would be very useful. In this letter, an original algorithm based on Radon Transform is proposed for automatic wheel tracks detection on Synthetic aperture radar images with a spatial resolution of 1 m. Compared to on-screen measurements, wheel tracks orientations and widths were accurately estimated for the images acquired with shallow incidence angles whereas poorer results were observed for sharp incidence angles.
  • Keywords
    agricultural machinery; erosion; geophysical image processing; hydrological techniques; hydrology; object detection; radar imaging; radar resolution; synthetic aperture radar; Radon transform; agricultural landscape; erosion process control; runoff process control; track characterization; track delineation; tractor wheel track detection; very high spatial resolution SAR imagery; wheel track orientation; wheel track width; Agricultural machinery; Optical imaging; Optical sensors; Radar tracking; Soil; Transforms; Wheels; Detection; Synthetic Aperture Radar (SAR); radon transform; tractor wheel tracks;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1545-598X
  • Type

    jour

  • DOI
    10.1109/LGRS.2011.2158184
  • Filename
    5934579