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' Accuracy m
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Figure 4: Experimental Approach to accuracy
estimation of real terrain relief
Strictly speaking, in the case of irregularly
spaced points, the application of a single
transfer function to study the problem of fidelity
in the Fourrier transform is not possible.
In progressive sampling the point density is
doubled in each run a composed transfer function
can be constructed for PS (Tempfli, 1986) and used
to assess the fidelity of DTM resulting from PS.
H(v,Th,r) = 1-V202 (v,Th,r) (16)
This is a function composed of segments of the
partial transfer functions, for incomplete regular
grids of different densities corresponding to the
successive sampling runs r, applied to sinusoids
sin(2nvAX) with different frequencies v E (0,172).
To this end a limiting fidelity function is
introduced;
$(Vk,Th) - (P(wk) - a-Th]/P(wk) (17)
Where a-Th is the maximum error acceptable in
progressive sampling and the factor "a" depends on
the magnitude of the threshold and on the type of
the input (Makarovic, B., 1976).
i
Vo V, V v
Figure 5: Composed transfer function
By considering criteria
sampling, the sections of Transfer Function (TF)
below the & curve should be rejected, and the
composed TF used for for the purpose of accuracy
estimation.
inherent in progressive
Estimation of the accuracy as function of fidelity
of PS can be approached from the viewpoint of the
two extremes:
- Lower bound accuracy (Cin)
- Upper bound accuracy (o ux)
82
The lower bound accuracy (o in) of PS can be
estimated by using the transfer function for the
regular grid with AX = Bry ; and discrete
amplitude spectrum which is compüted by FFT.
2 n/2 -1
o=E {1- Hp Th )}2 [Fk]? (18)
s k=-n/2
Where P(w) - 2|F(k)|, |F(k)| = the discrete
amplitude “spectrum of the input obtained by FFT.
The upper bound accuracy (0...) of PS can be
max x
estimated by using the composed ffansfer function.
The . actual accuracy of PS based on
interpolation would be:
sampling and
min s %actual 3 “max (19)
The estimation of the accuracy by means of the
Transfer Function is possible only when the
amplitude spectrum of the terrain is known. When
terrain exhibits a predictable amplitude spectrum,
an approximate estimation of the overall accuracy
is possible.
Because investigations were performed with the
help of some artificial ideal geometric
primitives, where the input was precisely known as
well as with real terrain relief, the experimental
approach to accuracy estimation was obvious.
As it was stated earlier the overall
error (o,) of the reconstructed
very suitable for the assessment of accuracy. In
this investigation, however, the following
additional measures are used for the quality
assessment of DTM.
standard
surface is not
- The efficiency of the surface modelling process,
which is affected by factors such as
distribution of the sampled points ( points
representing skeleton information and those
representing the filling information), and the
average
area.
number of the sampled points per unit
. The maximum discrepancy
modelled height.
between true and
- Reliability is quantified by the
correct heights divided by the
number of
total number of
heights.
. Fidelity of the modelled relief: can be defined
by a transfer function, which describes the
combined effects of sampling and interpolation
(Makarovic, 1976).
3.5 Assessment criteria
Quality of the reconstruction is influenced by the
following factors;
- Amount of skeleton information (X)
- Quality of skeleton information (0,)
- Sampling interval for filling
(1)
- The value of threshold used for densification
- Number of densification runs
- Number of sampled points
information
Real terrain relief
Quality of the reconstruction of the real terrain
relief can be assessed using the folloving
criteria:
- The mean error ps of PS is determined for all
the
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