• DocumentCode
    3096762
  • Title

    Landslide Detection Using a Local Similarity Measure

  • Author

    Khairunniza-Bejo, S. ; Petrou, Maria ; Ganas, Athanassios

  • Author_Institution
    CVSSP, Surrey Univ., Guildford
  • fYear
    2006
  • fDate
    38869
  • Firstpage
    6
  • Lastpage
    9
  • Abstract
    In this paper, a new simple method of landslide detection and identification is proposed. It is based on the use of local mutual information and image thresholding. A binary change image is then produced. Connected component analysis is used to identify the connected regions. Landslides are identified as the largest connected regions in this image. Mathematical morphology is used to approximate the landslide region. This method is simple and suitable for the detection of large changed regions with ratio of the unchanged to changed pixels in the image of the order of a few tens
  • Keywords
    image segmentation; mathematical morphology; connected component analysis; identification method; image thresholding; landslide detection; local similarity measure; mathematical morphology; Earth; Educational institutions; Electric variables measurement; Geologic measurements; Image registration; Mutual information; Remote monitoring; Terrain factors; Vegetation mapping; Working environment noise;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing Symposium, 2006. NORSIG 2006. Proceedings of the 7th Nordic
  • Conference_Location
    Rejkjavik
  • Print_ISBN
    1-4244-0412-6
  • Electronic_ISBN
    1-4244-0413-4
  • Type

    conf

  • DOI
    10.1109/NORSIG.2006.275262
  • Filename
    4052257