International Archives
of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XXXV, Part B2. Istanbul 2004
The results show that, the use of 3D polynomial
transformations, obtained on the basis of ground survey points,
appears to be an unreliable approach, especially when applied
for large territories. Its use for smaller regions with insignificant
relief variations, when having sufficient number of control and
check points, gives considerably better results.
5.3. Use of Rational Polynomial Coefficients (RPC), supplied
by QuickBird, with further polynomial transformations
With the cooperation by RACURS Co. relatively good results
are obtained in the range of the entire image. The software was
upgraded, which gives the opportunity to include RPC,
submitted together with the satellite image. They are such an
empirical coefficients that, the obtained functions represent
approximation of the rigorous sensor model. Their use is an
alternative to application of accurate physical model of the
sensor, especially for relatively flat terrain.
The following approach is used:
° Transformation by use of the RPC is made.
. The precision of the obtained result is increased by means
of 3D polynomial transformations of the basis of points,
measured by GPS.
For the experiment 8 control and 15 check points, normally
distributed within the range of the image, are used. The
obtained obtained maximal displacement and RMS error in
position of the check points are 2.56 and 1.40 m. respectively.
The errors in X and Y directions, as well as the location of
points are given in Table 2 and Figure 2.
Residuals in control points | Residuals in check points
Ne | Point dx dy Ne |Point| dx dy
Pixels Pixels Pixels Pixels
1. 111 -0.456| -0.755 l. 14| -0.287] -0.813
2 3 0.1084 0306] 2 15] 1.043] -1.081
3. 60| -0.003] -2708|- 3. 152) 0.297}: 3.408
4.0 1132} 0.10] 1018 41 321 0442 0771
5. 991 221 2.7421]. S4 . 331. 1.9921 0209
6. 114! -0.268/ 1.301} 6. 1541 2.035] -0.519
7. 46| 0.466| 0.322 | 92] 0.808] -0.548
8] 301; 0.443] -0.164|] 8. s500| 0250| -1.612
91 509 0.555) 0750) 9) SG2| 0.0175] .0 741
10. 159! 0.007] -0.849| 10. 508| 0.767| -0.296
IE 160] 0.598] -0.126] 11.| 156] 0.706] 0.848
12. 85| 0.044] -1.580[ 12.| 162] 1.044] -1.451
13. 100| -0.495| -0.641| 13.| 163| 0.981 1.375
14. 106] 0.681| -0.774| 14.1 165| -0.019| 0.947
15. 107} -0016] 2337] 151 103 -0.012) 0.918
16. 133} 08051 0.525( 16.1 1111 03181 1:005
17.1. 115. 0.1778 1.700
18.1 116 -0.898| -0.404
19. 117] -0.087] -0.825
RMS: 0.49 1.40 |RMS: 0.80 1.01
MAX: 0.86 2.74 |MAX: 2.04 1.70
Approximate ground Approximate ground
displacement [m] displacement [m]
RMS: 0.92 RMS: 0.82
MAX: 1.78 MAX: 1.64
Table I. The residuals in control and check points
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Figure 1. Points location within the imagery
The accuracy is verified also by superimposition of vector
objects from the available cadastral information over the
orthorectified image. The differences are within the obtained
maximal displacement and RMS error.
388
Residuals in control points | Residuals in check points
(o | Point dx dy Ne | Point dx dy
Pixels Pixels Pixels Pixels
= 011 -0.030| -1.464 l.|| 04| -1.205| -2.700
2. 02}. 0086) 0835} 2 7| -0.5355] -0.598
3 03] 0.044 -1.553| 3.1 08/0040) -1328
4. 031 0014. 0561). 41 09% -0.559| -0.402
S. 06|..-0.063] .4.323] | .5. 131. 0.772 0979
6. Li 0.0281 1.0251 6, 141 -0.258| -2.342
7. 15; -0.181}: 0.072 16| -1.101| -0.369
8. 22} 0.160$--0325} 8 17} 1.350} -3.238
9. 19] 0.5421° -0.820
106.1 20] —2.052| 1.334
b 21]. 2316].-1.521
12.| - 23] 210.290} 2.606
13.0 24} -2603] 2388
14.1 25] -0.3891 2010
IS] -20[| 0.9971 22387
RMS: 0.10 1.03 |RMS: 1.26 1.89
MAX: 0.18 1.56 |MAX: 2.61 3.24
Approximate ground Approximate ground
displacement [m] displacement [m]
RMS: 0.64 RMS: 1.40
MAX: 0.97 MAX: 2.56
Table 2. The residuals in control and check points
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