Geodesy 55-7
(55.20)
One outcome of these orthogonal transformations is an inventory of variables that are invariant under
these transformations. Without any proof, these include lengths, angles, sizes and shapes of figures, and
volumes — important quantities for the civil or survey engineer.
Similarity Transformations: Translation, Rotation, Scale
In the previous section we saw that the relative location of n points can be described by fewer than 3n
coordinates: 3n – 6 quantities (for instance, an appropriate choice of distances and angles) are necessary
but also sufficient. Exceptions have to be made for so-called critical configurations such as four points
in a plane. The 6 is nothing else than the 6° of freedom supplied by the orthogonal transformation: three
translations and three rotations.
A simple but different reasoning leads to the same result. Imagine a tetrahedron in a three-dimensional
frame. The four corner points are connected by six distances. These are exactly the six necessary but
sufficient quantities to describe the form and shape of the tetrahedron. These six sides determine this
figure completely in size and shape. A fifth point will be positioned by another three distances to any
three of the four previously mentioned points. Consequently, a field of n points (in three-dimensional)
will be necessarily but sufficiently described by 3n – 6 quantities. We need these types of reasoning in
three-dimensional geometric satellite geodesy.
If we just consider the shape of a figure spanned by n points (we are not concerned any more about
the size of the figure), then we need even one quantity fewer than 3n – 6 (i.e., 3n – 7); we are now ignoring
the scale, in addition to the position and orientation of the figure. This constitutes just the addition of
a seventh parameter to the six-parameter orthogonal transformation: the scale parameter s. So we have
(55.21)
or
(55.22)
Here also the vector t represents a translation. In Eq. (55.21) t¢ represents the vector of the old origin
in the new scaled and rotated frame (x¢ – t¢ = sRx); in Eq. (55.22) t represents the coordinates of the
origin of the new frame in the old coordinate frame. The relation between the two translation vectors is
represented by
(55.23)
One outcome of these similarity transformations is an inventory of invariant variables under these
transformations. Without any proof, these include length ratios, angles, shapes of figures, and volume
ratios, which are important quantities for the civil or survey engineer. The reader is referred to Leick and
van Gelder [1975] for other important properties.
Curvilinear Coordinates and Transformations
One usually prefers to express coordinate differences in terms of the curvilinear coordinates on the sphere
or ellipsoid or even locally, rather than in terms of the Cartesian coordinates. This approach also facilitates
the study of effects due to changes in the adopted values for the reference ellipsoid (so-called datum
transformations).
R =
-
-+ +
+-+
Ê
Ë
Á
Á
Á
Á
ˆ
¯
˜
˜
˜
˜
cos cos sin sin
cos sin sin sin cos cos cos sin sin sin sin cos
sin sin cos cos cos sin cos cos sin sin cos cos
bbgb
ag abg ag abg ab
ag abg agabg ab
¢
=+
¢
xRxts
¢
=-
()
xRxts
¢
=-tRts