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METHODS
The procedure of automatic interpretation and count
of game birds consists of three steps:
1) Aerial photography
2) Digitization of images
3) Pattern recognition
It is emphasized that the aerial photography itself
is a very valuable tool in bird census even if the automatic counting
procedure is not used.
Aerial Photography
The type of aerial photography to be used is dependent
on the species to be photographed. The main aim is to pro
duce clear, distinctive images of birds with the least amount
of background noise. Black and white photography is most
suited to work with white birds, like the Greater Snow Geese,
Chen nyperbora . Color or spectrozonal photography has to be
applied when the color of birds is more complex. For this
reason a separate photographic technique has to be developed
for each species. Another important factor is the scale of
aerial photography. Large enough area has to be covered by
a single frame but bird images still have to be separable.
Our aerial photographic missions uses a two camera
system. Photographs are taken simultaneously with the two
cameras. Camera one, with a short focal length lens provides
pictures covering a large area, while camera two has a long
focal length lens providing an enlarged strip of the large
area. The small scale aerial photographs are used for the
total count of birds. The large scale photos give indication
of the distribution and percentage of various species and of
various classes of a species.
Digitization of Images
Images of birds are digitized using a scanning micro
densitometer (Scandig, tech/ops). The transparent aerial
photographic specimen is mounted on a rotating drum in the
instrument. The maximum area of a transparency which can
be scanned is 8" by 9 M . The sampling aperture can be set
to 50, 100 or 200 micrometers. If the 100 micrometer aper
ture is used ten point readings will be obtained along one
millimeter on the transparency. Because of the edging effect
it is desirable to choose the sampling aperture, such that at
least 10 sample points will fall within one image.