'anbul 2004
1 be seen at
irst, images
ond, camera
narks in a
ludes final
xel system,
Root Mean
seen on the
resolutions
| TD. In all
Mic interior
min
4.7
4.2
mime d
lization and
localization
e
min
5
4.5
alization and
EEE
Photos
ther © © =|
# Of FMs
ight
La
Transform Type
"rojective
Le.
Unit Type
dicron
J
Method
CCF LSM x
CAMERA TYPE
RMK [Zeiss )
Image Type
RAW
i
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XXXV, Part B2. Istanbul 2004
5. Conclusion
According to the results obtained from various tests done on
different photos in different pixel size, our suggested method is
GVC for rough localization and LSM for precise positioning.
One major problem can occur if older cameras have been used
for the acquisition of the analogue film images: the fiducial
center is not as bright as expected. In newer cameras, the
fiducials are often illuminated by light emitting diods (LEDs).
Dust and scratches in the images around the fiducials and
scanning with out proper parameter settings can further
decrease the quality of the fiducials in the digital image and that
may lead the algorithm to fail. We use Wiener and constrained
least square filter as pre-processing techniques to improve the
accuracy and reliability of the algorithms but we observed no
affect on accuracy, however, they improve the quality of the
patches and make them sharper.
6. References
Kersten, T. ,and S. Haering, s. , “Automatic Interior Orientation
Of Digital Aerial Images," Archives of Photogrammetric
Engineering & Remote Sensing .Vol. 63 , No. 8, August 1995
. pp. 1000-1011. 1995.
Lue. Y., “Fully Operational Automatic Interior Orientation,"
Proc. Geolnformatics' 95,Hong Kong, Vol. 1, pp. 26-35., 1995.
Schickler. W. ‚and Poth, Z. ,“The Automatic Interior
Orientation And its Daily Use," Analytical surveys , Inc. ,
Colorado Springs , Colorado , USA., 1995.
Heipke Ch. ,“Automation of Interior , Relative and Absolute
Orientation ,“ Carl Zeiss - ISPRS , B3 , pp 297 - Aug 1996.
Richards John A. “ Remote Sensing and Digital Image
Analysis,”, Prentice . Hall International , Inc. 1991.
Foerstner,W.,1982.0n the geometric precision of digital
correlation .International Archives of Photogrammetry and
Remote Sensing, 24(3):176-189.
Atkinson ," Close Range of Photogrammetry and Machine
Vision," Bristol -1996.Wittles Publishing
Rafael C., Gonzalez and Paul Wintz .," Digital Image
Processing,” by Addition -Wesley Publishing Company,Inc.,
1987.
Scott, E. ‚and Umbaugh ,” Computer Vision and Image
Processing,” Prentice . Hall International ; Inc.
Thurgood, J. D. and Mikhail, E. M., “Subpixel Measurement
of Photogrametric Targets in Digital Images.“ Technical
Report, school of Civil Engineering , Purdue University. 1982.
Ali Azizi , *An Automatic Metod of Measuring Fiducial
Crosses and Pre-marked Control Point,".l'th International
Conference on Surveying and Mapping, Vol. 1, pp.13-21, 1992.
Ackermann,F.,1984."Digital image correlation: performance
and potential application in photogrammetry". photogrammetry
Record, 11(64):429-439.
547
Helava, U.V..1988. “Object-space least square correlation".
Photogrammetric Engineering and Remote Sensing,54(6):711-
714
Gruen,A.,1984.Adaptive least square correlation - concept and
first. results.Intermediate Research Project Report to Helava
Assoc.,Inc.,OhioState University, Columbus, Ohio, March.13
pages.