nbul 2004
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aluate the
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deduce a
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ach other.
The best
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) 7,87
) 5,50
) 2,96
) 4,00
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72 GCPs
approach
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XXXV, Part B7. Istanbul 2004
3.8 Normality Test on the residuals
7 . .
The y^ test on the residuals has been carried out on the
following tests:
- RFM with 20 coefficients and 72 GCPs;
- NN with 10 nodes and 72 GCPs.
The test has been positive for the residuals obtained with the
NN approach. Residuals along & direction obtained with the
RFM method do not pass the test; a systematic effect can be
hypothesize in this case.
4. CONCLUSIONS
The obtained results from the performed tests allow to conclude
that:
- RFM method introduces instability problems when using third
order polynomials, underlined quantitatively by the elevated
variability values of RMS and qualitatively by the presence of
strong anomalies in the corrected images;
- such anomalies are not present if the NN approach is adopted;
- the RFM method shows the worst behaviour along & (also
confirmed by the results of the residuals normality test), not
underlined by the other two methods; it could be due to a
unknown systematic errors induced on the data by the MIVIS
whiskbroom scanning system or by the correction method itself;
- the method based on the NN shows good generalization
capabilities when observing the decreasing number of errors on
the GCPs and CPs as the number of parameters grow, not
observed for the other two methods;
- the level of attainable accuracy from the two methods can be
judged as good. Also considering that the qualitative analyses
have often revealed that it is greater than the RMS numerical
values suggested.
5. MIVIS 2 IMAGE GEOMETRIC CORRECTION AND
MOSAICKING
MIVIS 2 image has been corrected using NN method and 72
GCPs. Therefore MIVIS 1 and MIVIS 2 NN orthocorrected
images have been linked in a mosaic. The final result is shown
in the final figure showing good coherence.
877
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