International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XXXV, Part B-YF. Istanbul 2004
T . . ^
Transformation Analogue © mean
mean Digital Q
Table 4. The overall accuracy obtained by Analogue and
Digital methods
6. Conclusion
According to the results obtained from various tests done on the
scanned photo in pixel size of 25, our suggested method is CCF
for rough localization and ISF 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 diodes (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. For precise measurement, we
employed Least Square Matching(LSM) but not a acceptable
result could obtain. That was because the quality of template
and contrast between fiducial mark and its background in
original image in comparison with aerial images is low.
7. References
Jacobsen K., 1998. Status and tendency of sensors for mapping,
ISPRS technical com. 1 on sensors, platforms and imagery,
pp.124-130.
Jacobsen, K., Muller, W., 1988. Geometric potential of space
images. International archives of photogrammetry and remote
sensing, Kyoto, Vol.27, Part B9, pp. 191-197.
Konecny, G., Jacobsen, K., Lohman, P., Muller W., 1988,
Comparison of high resolution satellite imagery for mapping.
International archives of photogrammetry and remote sensing,
Kyoto, Vol.27, Part B9, pp. 226-237.
Maalen-Johansen, I. 1991. Russian satellite imagery of Norway
— an accuracy investigation of KFA-1000, Norwegian Journal
of Agricultural Sciences, No. 5, pp. 15-21.
Sirkia O., Laiho A. 1989. An investigation of the geometric
properties of the Soviet KFA-1000 space photos, The
photogrammetric journal of Finland, Vol. 11, No. 2, pp. 74-83.
Sadeghian, S., Valadan Zoej, M. J., Delavar M. R., Abootalebi
A., 2001. Precision rectification of KFA-1000 and IKONOS
images using the multiquadric and DLT model over test areas in
IRAN, Photogrammetric Journal of Finland, Vol. 17, No. 2, pp.
69-77.
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.
208
Lue. Y., “Fully Operational Automatic Interior Orientation,”
Proc. GeoInformatics’ 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,”.1’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.
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.