• DocumentCode
    143452
  • Title

    Comparison of unsupervised segmentation methods for surficial materials mapping in Nunavut, Canada using RADARSAT-2 polarimetric, Landsat-7, and DEM data

  • Author

    Fan Li ; Wong, Alexander ; Clausi, David A.

  • Author_Institution
    Dept. of Syst. Design Eng., Univ. of Waterloo, Waterloo, ON, Canada
  • fYear
    2014
  • fDate
    13-18 July 2014
  • Firstpage
    2727
  • Lastpage
    2730
  • Abstract
    In this paper, unsupervised segmentation methods are investigated for surficial materials mapping in Nunavut, Canada. Different satellite data sources including RADARSAT-2 polarimetric image, LANDSAT-7 image, and DEM data are combined and three unsupervised segmentation methods are compared. Results show that IRGS has better performance than the other two methods.
  • Keywords
    digital elevation models; geophysical image processing; image segmentation; radar polarimetry; remote sensing by radar; terrain mapping; Canada; DEM data; IRGS; LANDSAT-7 image; Nunavut; RADARSAT-2 polarimetric image; satellite data sources; surficial material mapping; unsupervised segmentation method; Accuracy; Earth; Image segmentation; Materials; Remote sensing; Satellites; Vegetation mapping; DEM; LANDSAT-7 image; RADARSAT-2 polarimetric image; Segmentation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International
  • Conference_Location
    Quebec City, QC
  • Type

    conf

  • DOI
    10.1109/IGARSS.2014.6947039
  • Filename
    6947039
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=143452