• DocumentCode
    1902040
  • Title

    Semi-automated penguin counting from digital aerial photographs

  • Author

    McNeill, Stephen ; Barton, Kerry ; Lyver, Phil ; Pairman, David

  • Author_Institution
    Landcare Res. New Zealand, Lincoln, New Zealand
  • fYear
    2011
  • fDate
    24-29 July 2011
  • Firstpage
    4312
  • Lastpage
    4315
  • Abstract
    Semi-automated software has been written in Matlab to enable nesting Adelie penguins (Pygoscelis adeliae), on aerial photographs of the Ross Sea sector of Antarctica, to be counted. Previously, this task had been accomplished by manual marking of printed images; this is slow, and highly-dependent on the skill of the operator. The basis of the semi-automated counting procedure is to use linear discriminant analysis to separate the background (snow, water, rock, bare ground) from the guano-covered colony area, followed by morphological image processing operators to select the breeding penguins. Many interactive features are provided that allow an operator to delete penguins singly or in groups, selectively process a defined area, and record the running census counts.
  • Keywords
    geophysical image processing; geophysical techniques; zoology; Adelie penguins; Antarctica; Matlab; Pygoscelis adeliae; Ross Sea; bare ground; digital aerial photographs; guano-covered colony area; linear discriminant analysis; morphological image processing operators; penguin nesting; rock; semiautomated penguin counting; semiautomated software; snow; water; Antarctica; Birds; Cameras; Error analysis; Image color analysis; Rocks; Software; Adélie penguin; Pygoscelis adeliae; census; pattern recognition; semi-automated;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2011 IEEE International
  • Conference_Location
    Vancouver, BC
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4577-1003-2
  • Type

    conf

  • DOI
    10.1109/IGARSS.2011.6050185
  • Filename
    6050185