Geoscience Reference
In-Depth Information
Recall that Eq. (5-49) is now a system of linear equations for point i .For n
common points, the design matrix A is
A 1
A 2
.
A n
A =
.
(5-51)
In detail, for three common points the design matrix is
100 X 1
0
Z 1
Y 1
010 Y 1
Z 1
0
X 1
001 Z 1
−Y 1
X 1
0
100 X 2
Z 2
Y 2
0
A =
010 Y 2
Z 2
0
X 2
,
(5-52)
001 Z 2
Y 2
X 2
0
100 X 3
0
Z 3
Y 3
010 Y 3
Z 3
0
−X 3
001 Z 3
Y 3
X 3
0
which leads to a slightly redundant system. Least-squares adjustment yields
the parameter vector δ p and the adjusted values by (5-45), (5-46), (5-47).
Once the seven parameters of the similarity transformation are determined,
formula (5-41) can be used to transform other than the common points.
For a specific example, consider the task of transforming GPS coordi-
nates of a network, i.e., global geocentric WGS 84 coordinates, to (three-
dimensional) coordinates of a (nongeocentric) local system indicated by the
subscript LS. The GPS coordinates are denoted by ( X, Y, Z ) GPS and the lo-
cal system coordinates are the plane coordinates ( y, x ) LS and the ellipsoidal
height h LS . To obtain the transformation parameters, it is assumed that the
coordinates of the common points in both systems are available. The solution
of the task is obtained by the following algorithm:
1. Transform the plane coordinates ( y, x ) LS of the common points into
the ellipsoidal surface coordinates ( ϕ, λ ) LS by using the appropriate
mapping formulas.
2. Transform the ellipsoidal coordinates ( ϕ, λ, h ) LS of the common points
into the Cartesian coordinates ( X, Y, Z ) LS by (5-27).
3. Determine the seven parameters of a Helmert transformation by using
the coordinates ( X, Y, Z ) GPS and ( X, Y, Z ) LS of the common points.
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