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Figure 4. TIN model of Figure 2 that is condensed with fractals
H=0.8, units are in meter.
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Figure 5. TIN model of Figure 3 that is
condensed with fractals H=0.3, units are in
meter.
In order to perform a quantitative analysis of the surfaces
rendered by the fractal interpolator approaches, we compared
the results with the real surfaces. So 15-20 check points was
selected for each region. Then for each point error function that
defined as the difference between the real elevation and the
estimated elevation was computed. Table 1 shows the residuals
on the check points for the rough and smoothed region.
In addition for H=0.1-0.9 with increment 0.1, standard
deviation of the error function was computed that results have
shown that the best H for irregular and regular surfaces are 0.3
and 0.8 respectively (Table 2) .It means that irregular surface
has fractal dimension 2.7 while regular surface has fractal
dimension 2.2.
553
Table 1, Residuals on check points for smooth and rough region
(m)
Point number Residuals on check | Residuals on check
points for smooth points for rough
region (m) region (m)
| -0.090 0.340
2 0.100 0.280
3 0.060 0.210
4 -0.332 0.726
5 -0.381 -1.196
6 1.159 0.141
7 0.066 0.267
8 -0.016 6.262
9 0.037 -1.364
10 0.558 6.763
11 0.164 1.726
12 0.121 -0.056
13 -0.423 0.570
14 -0.045 -2.015
15 -0.890 -3.635
16 0.041 -0.088
17 -0.357
18 0.010
19 0.427
20 0.022
Table 2, standard deviation of the error function for smooth and
rough region (m)
standard deviation standard deviation
of the error of the error
H function for function for rough
smooth region region
0.1 2.675 0.419
0.2 2.680 0.425
0.3 2.682 0.404
0.4 2.713 0.435
0.5 2.676 0.465
0.6 2.666 0.550
0.7 2.789 0.598
0.8 2.618 0.626
0.9 2.888 1.283
4. CONCLUSION
Fractal methods can be successfully used when the real surface
represents a natural phenomenon like elevation. The major
problem seems to be the definition. of the appropriate
parameters H and S (H is relative smoothness at different scales
and S is scale or roughness factor) to best represent the
variations of the real surface.