round points.
observations y
an Intergraph ;
iotogrammetric /:4 X
iversity of À 12
urements with /
lancement were P
rch groups in
MOMS-02 Australian Testfield
i Da
+
Fs dr 222 A ar, + 69 “70 85 “36 adis 96 x i
; / 7M 58 TIT n P 95 ME
ds, backed up La X 204 82 M V C
of 2-D image- Thm 7203 ab? 778 $118 ~~
subset of 56
nal six 2-ray
7 into (display
the 1-pixel
distribution
in Figure 1.
points were
dard error of
n all three
primarily on
r we consider
rom Melbourne
from De E.
rward and aft
ntext of the
lems referred
iat the RMS
these two
sets was 0.7
little higher
ODEL
ted for the
ulation is a
atric bundle
»ommodate the
| three-line
X uar Maz]
Ax May + Maz]
(1)
AX + MAY + MyAZ]
AX + MAY - Msz]
ige coordinate
ction of the
elements of
o; land of; the
f the object
tion elements
che HR, nadir-
Lve positional
x, Ay, AZ, An,
r sensor line
ion centre of
matrix R is
of rotation
Dos Por Ko) he
track stereo
strips, self-
e and thus a
forming the
1996
GCP configuration
set], 4 GCP:e€
set 2, 12 GCP: +
set 3, 12 GCP: *
set 4, 20 GCP: + =
sets, 20 GCP: a
= Pe
93 - a 128
RUIN 9494105 — 7124 *
*
Figure 1: Control point distribution
extended collinearity equation must be
determined via camera calibration. These
include the interior orientation elements
and the parameters Ao, Ao, Ax, AX, AY and
AZ for the forward- and backward-looking
channels. For the processing of the MOMS-
02/D2 data, the inclination angle of Aq =
+21.457° was the only parameter of these
six to have a non-zero value.
In order to achieve a solution for the
collinearity equations at each scan line,
a re-parameterization of the exterior
orientation elements by time dependent
polynomial functions is adopted.
Quadratic functions have been used for
stereo restitution of both SPOT (Kratky,
1989) and MOMS-02/D2 imagery (Dorrer et
al, 1995), whereas for the triangulation
of MOMS-02 three-line imagery Lagrange
polynomials:Jof “third order "have been
proposed "(Ebner et ‘al, 1992; EKornus et
al,” 1995). Under ‘the Tlatter approach,
which has been adopted in this
investigation, exterior orientation
elements are recovered for so-called
orientation images (OIs) at. given scan-
line intervals. The Lagrange polynomials
then model the assumed smooth variation
of sensor position and attitude over each
interval of m scan lines between adjacent
OIs. For a third-order curve the model is
given as:
Bis S Pr Ti —= Q)
i=0l-1 jz0l4 f; 71;
j*i
where; Ps;í(t), at time: €. is; à linear
Internati
onal Archives of Photogrammetry and Remote Sensing. Vol. XXXI, Part B3. Vienna 1996
combination of PÍít:) at the four
neighbouring OIs.
One of the perceived advantages of the
Lagrange polynomial approach is that the
interpolation is dependent upon only the
nearest one or two OIs on each side of a
given scan line for first- to third-order
interpolation. Thus, fór a third-order
approximation, four OIs are employed,
whereas for a first-order model the
interpolation would be linear between two
OIs. One of the aims of the present work
was to investigate the impact of the
order of the function on triangulation
accuracy.
For the bundle adjustment of the MOMS-
02/D2 imagery, the following observation
equation set was employed:
y — Att TBi-DL5 P
vonoq qt, wep
v, = Az me (3)
Vu = I du Pia
um fo wi] cP,
th
where A indicates the coefficient matrix
of the unknown exterior orientation
parameters t; B is the coefficient matrix
of the ground coordinate vector x; tz and
tp are. the vectors of shift and drift
terms whose coefficient matrices are
given by Cg -and- C; vj,. 1; and P; are
residual and discrepancy vectors, and
weight matrices, respectively. The weight
matrices Px, Ptg and Prp are primarily
employed to allow the associated