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International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XXXV, Part B3. Istanbul 2004
6. CONCLUSIONS
The results of a vast and rigorous test on quality of direct
georeferencing on photogrammetry have been shown. They are
interesting and encouraging. Some issues have also emerged
and in particular the existence of a limited systematic error in
height whose cause is probably a residual miscalibration.
Further developments will focus strategies for limiting these
effects: more frequent calibrations or local calibration on a very
small site.
7. BIBLIOGRAPHY
Casella, V., Galetto, R., Surace, L., Ferretti, L., Banchini, G.,
Cavalli, A., 2001. Esperienze di fotogrammetria supportate da
GPS/INS. Bollettino SIFET, 4, pp. 35-49, ISSN 0392-4424,
Parma.
Casella, V., Franzini M., 2003. Definition of a methodology for
local reduction of parallaxes in directly oriented images.
Proceedings of "/SPRS International Workshop", WG 1/5,
September 2003, Castelldefels, Spain.
Colomina, I., 2002. Modern sensor orientation technologies and
procedures. Test Report and Workshop Proceedings. Official
OEEPE Publication n?43, pp. 59-70.
8. ACKNOWLEDGEMENTS
The research presented in this paper was carried out within the
frame of the National Research Project entitled /ntegrated
inertial positioning systems in aerial Photogrammetry, co-
funded by the Italian Ministry of the University for the year
2002, and chaired by prot. Galetto of the University of Pavia.
APPENDIX A: GRAPHICAL ANALYSIS OF RESULTS
Delta E - Whole Delta N - Whole Delta h - Whole
0,70 1 0.60 1.20 A
-*- Pavia ~~ Pavia ; — Pavia
0.60 5— Perugia 0.50 75 Perugia 1.00 - Perugia
—- Como — Como —&— Como
a 0.50 Palermo 4 Palermo zz Palermo
$ # — Parma = 0.40 Parma £ 080 os
9 0.40 Vercelli 2 Vercelli 2 Vercelli
E E E
— . = (0,30 = 0.60 -
1 S = =
% 0,30 RC NC z 2
5 ”" Om € 0.20 : Z 0.40 on
0,20 ; = : = a Se
NS — e
0,10 0,10 0.20
0.00 0.00 0,00
APP AAT AT APP AAT AT APP AAT AT
Figure 1. Analysis of accuracy: RMSE of the residuals for the Whole dataset, as a function of the EO
Delta E - Along 60 Delta N - Along 60 Delta h - Along 60
0.70 0.70 0.70 "x
*— Pavia -*- Pavia An E
0,60 9— Perugia 0,60 $— Perugia 0.60 x R
—# Como —&- Como NES
z 0,50 Palermo = 0,50 Palermo = 0,50
S : Parma S Parma S
E 0.40 C Vercelli E 0.40 s ! Vercelli E 0.40
2030 & 930 B 030. e Pavia
= E. a = x = == Perugia
& 0,20 En TE - es X 0,20 M et ® 0,20 ia Como
Palermo
0,10 0,10 0.10 “Parma
Vercelli
0.00 0.00 0,00
APP AAT AT APP AAT AT APP AAT AT
Figure 2. Analysis of accuracy: RMSE of the residuals for the Along60 dataset, as a function of the EO
Delta E - Across Delta N - Across Delta h - Across
0,70 0.70 1.20
+= Pavia *— Pavia += Pavia
0.60 -9- Perugia 0,60 Perugia 1.00 Perugia
a= Como ——- Como —— Como
= 0.30 Palermo ~ 0,50 Palermo 7 Palermo
e + Parma £ * Parma © 0,80 Parma
& 040 : Vercelli 9$ 040 Vercelli = Vercelli
E NN £ ; = 0.60
& 030 NON & 0.30 S A \
= NN = ng = 040 éme
& 0.20 . X 0.20 i i & a
eu = : wr 0.20
0.10 — 0,10 I ;
0,00 0.00 0.00
APP AAT AT APP AAT AT APP AAT AT
Figure 3. Analysis of accuracy: RMSE of the residuals for the Across dataset, as a function of the EO
883