„15 =
In Sweden, Nordisk ADB has developed a DTM [1-5], [2-3] in which the
interpolation in each area bounded by terrain lines is performed along the shortest
line through the interpolated point which connects two different lines. Along
this shortest line, the interpolation is linear.
Schult [64] describes a method for the computation of the heights at the
nodes of a regular grid from contour lines. In this method, the two grid lines
on which a node is located are intersected with the two nearest contour lines.
The height at the node is then computed as the weighted mean of the heights of the
four intersected points. The weights attached to these heights are inversely
proportional to the distances. In many instances, three of these intersections
will lie on the same contour line while the fourth one will lie on the second line.
mat should make the interpolation somewhat less accurate than the above inter-
polations.
Finally, Baetslé [17] has developed an interpolation method which fits
under the present heading. The method serves to interpolate in an area enclosed
by a traverse, which is a string of measured points. The height of an interpolated
point is a weighted mean of the heights of the traverse points. The weight
attached to the height of a traverse point is the sum of the tangents of half the
angles under which the two adjoining traverse sides are observed, divided by the
distance from interpolated point to traverse point. This weighting produces a
linear interpolation on the traverse sides and, in this way, produces continuity
with any surrounding interpolation areas. Reference heights in the interior of
the area can be accommodated also. Their weights are simply the reciprocals of
their distances. Baetslé shows that in the case of an enclosed triangle the weights
are the barycentric coordinates of the interpolated point. This method will be
most useful, because least laborious, if the total interpolation region is sub-
divided into small areas enclosed by polygons with few sides. If the total area is
enclosed by one polygon, there is little reason to enforce linear interpolation on
the sides of this polygon and one might as well make all weights equal to the
SEES of the distances. That reduces the method to a simple moving surface
method.
9. Construction of profiles
Profiles are of interest especially for volume computations, as for
instance in road design and open pit mining. Discreet points on a profile can be
obtained either by measuring in a photogrammetric model or by intersecting the
vertical plane of the profile with grid lines, contour lines, or any other
characteristic lines. Almost generally, straight line connections between the
discreet points are considered to give a sufficiently accurate terrain representa-
tion. The small local positive and negative errors which this can produce will
tend to cancel each other in the summation for the volume computation.
Only two papers deal with a more complicated interpolation. Miller and
Laflamme [61], in the first published paper on digital terrain models, give here
their only mathematical formulation. They suggest connecting each two consecutive
points by a third-degree polynomial and they give also the formula for the area
under this curve. Killian and Meiss]l [40] use cubic spline curves, but do not
give detailed formulas. They need the greater accuracy because their profiles are
along fall lines and are used for the construction of additional contour lines
between existing ones.
10. Construction of contour lines
10.1 Determination of discreet points
The construction of a contour line requires the availability of a
sufficiently large number of its points, given by their planimetric coordinates.
These points can be measured sequentially by following the contour line in a photo-
grammetric model. Recording can here take place at equal time or, perhaps, length
intervals.