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
Link To Document :
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