The GPS is capable of providing very accurate position and
velocity under ideal conditions. However, such conditions do not
often exist. Independent GPS navigation requires at least four
satellites. The major drawback GPS is the accuracy degradation
due to poor satellite geometry, cycle slips, satellite outages, and
dynamic lag during maneuvers.
The INS measures linear acceleration and angular rates very
accurately and with minimum time delay. For short time
intervals, the integration of acceleration and angular rate results
in extremely accurate velocity, position, and attitude with almost
no noise or time lags. However, because the INS outputs are
obtained by integration, they drift at low frequencies. To obtain
very accurate outputs at all frequencies, the INS should be
updated periodically using external measurements
The function of each component of the VISAT system can be
divided into primary and secondary function. In terms of primary
functions, the camera cluster provides three-dimensional
positioning with respect to the VISAT reference which in most
cases is the perspective center of one of the cameras. The
position of this reference with respect to the existing control is
determined by differential GPS, while the camera orientation in
three-dimensional space is given by the INS. The ABS system
will trigger the cameras at constant distance using the VISAT
controller trigger channel. In terms of secondary functions, the
camera cluster provides redundancy (i.e., more than two images
of the same object), the GPS controls the INS error propagation,
and the INS, when used in positioning mode, bridges GPS
outages, corrects GPS cycle slips, and gives precise interpolation
between GPS fixes. The ABS data can be used to update the INS
data if the GPS signal is blocked for periods more than the INS
bridging level required to fix the GPS ambiguities ( half a cycle).
The prerequisite for precise 3-D positioning from the VISAT
video images is the systems calibration. System calibration
includes the determination of the cameras inner orientation
parameters, the relative location and orientation of the cameras,
the relative location and orientation between the cameras and the
navigation sensors. Surveying by VISAT, therefore, consists
essentially of three parts: system calibration, position and
orientation of the moving VISAT reference using GPS and INS
data, positioning of objects in the road corridor with respect to
the VISAT reference using two or more georeferenced camera
images.
2. GEOREFERENCING OFVIDEO IMAGES
Georeferencing video images can be defined as the problem of
transforming the 3-D coordinate vector r^ of the camera frame
(c-frame) to the 3-D coordinate vector r'™ of the mapping frame
(m-frame) in which the results are required. The m-frame can be
any earth-fixed coordinate system such as curvilinear geodetic
coordinates (latitude, longitude, height), UTM or 3TM
coordinates. The georeferencing process can be described by the
following formula (El-Sheimy, 1995) :
m m ;" m b-c b
r 7 ris (0 * S'* R, (Q(R, *r +a) (1)
96
Figure 2 shows the elements of the georeferencing formula,
where :
m is the coordinate vector of point (1) in the mapping
frame (m-frame),
m. (t) is the vector of interpolated coordinates of the INS in
the m-frame,
(t) is the time of exposure, i.e. the time of capturing the
images.
Ry (© is the interpolated rotation matrix between the INS
body frame (b-frame) and the m-frame, as measured
by the INS gyros.
R, is the differential rotation between the camera
coordinate frame (c-frame) and the INS b-frame
r is the image coordinate of the object in the c-frame
"mh is the offset between the INS center and the cameras
si is a scale factor specific to a one point/one
camera combination
c - frame
INS b-frame
Figure 2 : The Georeferencing Concept
The INS position me is the position resulting from the
INS/GPS integration. In the event of a continuous loss of the
GPS signal, the INS will be used in stand alone-mode to extend
the mission. The high data rate of the INS, 50 Hz, facilitates the
b
interpolation of the camera coordinates. R c transforms the vector
C m
r from the c-frame to the b-frame. Ry (t) transforms the vector
b b
(n ° r+ 2 from the b-frame to the m-frame. R anda are
International Archives of Photogrammetry and Remote Sensing. Vol. XXXI, Part B2. Vienna 1996
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