ISPRS Commission III, Vol.34, Part 3A ,Photogrammetric Computer Vision“, Graz, 2002
the calibration process as much as possible. We anticipate that
this careful calibration will improve the results from bundle
block adjustment using the CAMIS sensor. Verification of this
will have to await more testing. The interesting contributions
of this research have been, the setup and measurements of the
targets and the cameras, the automation of the target locations
in the images, and their subsequent refinement, and the
automatic process for balancing the radial lens distortion in the
presence of other correlated parameters.
Blue Green Red Alpha
Para- Camera Camera Camera Camera
mete | Working | Working Working Working
r band band band band
450nm 550nm 650nm 800nm
f 16.168 16.154 16.177 16.174
mm mm mm mm
x 0.084357 | -0.024693 | -0.253464 | -0.014537
0 mm mm mm mm
-0.239466 | -0.213401 | - 0.109878 | -0.158923
Yo mm mm mm mm
2 -1.696019 | -1.709735 | -2.011666 | -1.712994
1 *10? #107 x10? x10?
A 0.257710 | 0.274246 0.337008 0.260639
2 «10^? 819? «10^? *107
k -0.009089 | -0.010202 | -0.013096 | -0.009190
3 x10? &]9^ *10? *10^?
0.053187 | 0.036416 | -0.134155 | -0.009700
5 S d +104 "| 410 | 97
0.113262 | 0.036419 0.066029 0.014206
mae i ue p uw ue
1.162203 | 0.279185 | -0.059959 | 0.130802
a, *107 *107 *107 x10?
3 0.059299 | -0.663338 | -0.637141 0.278204
#107 *107 #+10° *107
Table 1. estimated parameters of the four sensors
For simplicity, the graphical user interface feature in
MATLAB was used to create a small user-friendly window to
do the job with an executable file. This window is shown
below and it is very useful. The parameters of each camera
were stored in the file and by inserting the value of the
measured line and sample and specifying the correspondence
camera, the corrected line and sample will be calculated in the
back ground and printed in the window for the user.
CAMIS SENSOR
Coordinate Adjustor
Input Line and Sample
in pixels
Line 1] 200
Sample | 100
Camera Type
“Be PP
D Red
Corrected Line and
sample in pixels
Line 200.4128
Sample 100.7364
Figure 9. Graphical User Interact window
ACKMOWLEDGEMENT
The authors would like to acknowledge the support of the
Army Research Office and the Topographic Engineering
Center.
REFERENCES
Atkinson, K. B., 1996. Close Range Photogrammetry and
Machine Vision., Whittles Publishing.
Batista, Jorge., Araujo, Helder., Almeida, A. T,. 1998. Iterative
Multi-Step Explicit Camera Calibration, IEEE Int. Conf. on
Computer Vision (ICCV98), Bombay, India, January 4-7.
Mikhail, Edward M., Bethel, James S., McGlone, J. Chris.,
2001. Introduction to Modern Photogrammetry., John Wiley &
Sons, Inc.
Mikhail, Edward M., Ackermann, F., 1976. Observation and
Least Square., IEP-A Dun-Donnelley Publisher, New York.
Moffit, Francis H, Mikhail, Edward M., 1980.
Photogrammetry, third edition., Harper & Row, Publishers,
New York.
Pollefeys, Mark., Koch, Reinhard., Gool, Lue Van., 1999. Self-
Calibration and Metric Reconstruction in spite of Varying and
Unknown Internal Camera Parameters, International Journal of
Computer Vision, 32(1), 7-25.
Ravi Samtaney., 1999. A Method to Solve Interior and Exterior
Camera Calibration Parameters for Image Resection, NAS-99-
03.
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