A EE AO di CE A NL
different positions and distances from a test field of ground
control points .
These constraints can be written for two van positions (i) and (j)
and two cameras (c1) and (c2) as follows:
« B!-Bli
«— REG S REG. Rz (i) » R7 (j)
(RO G)s RA) (4)
For the stereo-pair (1),
a, Bi = get x + (yet 2 y92y) 4 (gel - z22y?
; Red) = RT G* Ry)
PC gay op Migs e27; à
° Ra (1) = Ra) Ra (1) (5)
Where,
B is the base vector between each steréo-pair
RB is the rotation matrix between the camera coordinate
frame (c-frame) and the mapping frame (m-frame)(c)
Bn is the rotation matrix between the camera coordinate
frame (c-frame) and the INS b-frame
R ©? istherotation matrix between camera (1) and
cl
camera (2)
S-VHS Camera |.
Figure 4. The VISAT System Roof Mount
98
3.3 System calibration Results
A test field of ninety evenly distributed circular targets was
established for calibrating the system. The coordinates of these
targets were determined using a network of six points,
determined by GPS, as base stations for a total station survey. A
baseline of 1.3 km was used to estimate the azimuth of the
network using GPS static survey.
System calibration was performed three times at one month
intervals. In each calibration test, eight images were grabbed
from at least five different van positions. For each calibration
test, the adjustment was calculated twice; with and without the
relative orientation constraints. Table 5 lists the second
calibration results for cameras (1) and (2) without the relative
orientation constraints, where (Ao, AG, Ax ) are the relative
orientation angles between the cameras and the INS system b-
frame. Similar results were obtained for calibration (1) and (2).
The results indicate that the relative orientation parameters are
different and have an accuracy of + 1 cm for the base vector and
+ 5 arminutes for the relative orientation angles. The reason for
having large corrections for the relative orientation angles is the
fact that the accuracy of aligning the INS is about 3-5
arcminutes. This adds more distortion to the bundle adjustment,
which is then reflected in the large corrections to the relative
orientation parameters. Table 6 summarizes the final results of
the three different calibrations for camera (1) and camera (2)
after applying the relative orientation constraints. It is obvious
that even with one month difference between the three
calibrations, the changes in the base vector and the relative
orientation angles are about + 2 mm. and + 2 arcminutes
respectively. The probable error due to system calibration on a
distance of 35 m is about 3 cm ( 35 m x tan 2 arcminutes = 3 cm
) for the relative orientation angles. On the other hands, a
constant bias of 2 mm in the base between the cameras,
especially the front ones, can introduce an error of 7 cm, mainly
along track, for an object 35 m away from the cameras. For more
details about the contribution of calibration error to the error
budget see El-Sheimy et. al. (995).
4. SYSTEM TESTING
The system was tested in Montreal and Quebec City in
September 1995. The test areas included open areas, urban
centers with narrow roads, and minor and major highways with a
number of overpasses. Some of the Montreal City test results
will be presented in this paper. They are in six sectors, about 180
km, surveyed in five days. They were surveyed such that the
results in all sectors can be used to evaluate the system
repeatability in forward and backward runs on the same day as
well as on different days.
4.1 Relative Accuracy
The system's relative accuracy can be estimated by the system's
repeatability and the accuracy of measuring distances. In order to
test the system repeatability, some well-defined landmarks along
the test course were used for comparison. Figure 7 shows results
of a comparison of different runs in both forward and backward
directions in the same day, taking the forward runs as the
reference. Figure 8 shows the relative accuracy of the same
landmarks for day-to-day repeatability, by taking the results of
one day as a reference.
International Archives of Photogrammetry and Remote Sensing. Vol. XXXI, Part B2. Vienna 1996
-. Positional Error (cm)
Fig
Positional Error (cm)
Fig