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