• DocumentCode
    2232693
  • Title

    Multi-scale line detection for landslide fissure mapping

  • Author

    Stumpf, André ; Lampert, Thomas A. ; Malet, Jean-Philippe ; Kerle, Norman

  • Author_Institution
    Lab. Image, Ville, Environ., Univ. de Strasbourg, Strasbourg, France
  • fYear
    2012
  • fDate
    22-27 July 2012
  • Firstpage
    5450
  • Lastpage
    5453
  • Abstract
    Surface fissures are important indicators for slope instability and their patterns reveal information about the distribution of strain and mechanical processes. The increasing availability of sub-decimeter resolution aerial images may enable the detection and mapping of such features with imagery. This study combines Gaussian matched filters and first order derivates in a multi-scale framework to address the semi-automatic detection of surface cracks with variable sizes. The accuracy of the detector was assessed with two expert mappings and compared to a corresponding single scale approach.
  • Keywords
    Gaussian processes; cracks; edge detection; geomorphology; geophysical image processing; image resolution; matched filters; terrain mapping; Gaussian matched filter; feature detection; feature mapping; first order derivate; fissure pattern; landslide fissure mapping; mechanical process; multiscale line detection; semiautomatic detection; slope instability; strain distribution; subdecimeter resolution aerial image; surface crack; surface fissure; Detectors; Earth; Feature extraction; Filtering theory; Matched filters; Surface treatment; Terrain factors; landslide; matched filters; surface cracks; unmanned aerial vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
  • Conference_Location
    Munich
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4673-1160-1
  • Electronic_ISBN
    2153-6996
  • Type

    conf

  • DOI
    10.1109/IGARSS.2012.6352373
  • Filename
    6352373