Full text: Proceedings, XXth congress (Part 4)

  
In practise, one of two approaches 10 orthorectification was 
applied by contractors, i.c. space resection using cither a 
rigorous model or the RPC-based model with refinement by a 
few (usually) GCPs. Both approaches were used also at JRC. 
As software, Erdas Imagine, PCI Geomatica, Socet Set 
orthorectification modules were used by contractors, and PCI 
Geomatica and Erdas Imagine for the work done at JRC. 
  
  
  
  
  
  
Figure 1: The VHR satellite imagery sites 
4.0 Geometric quality assessment 
[n order to have both results (i.e. delivered by contractors and 
produced in JRC) comparable the uniform procedure for 
geometric evaluation of orthoimage products was applied: 
* common guidelines, recommendations for all ortho 
producers, 
+ final accuracy check by one user in one software 
environment, 
* independent check points (not GCPs) used, according to a 
standardized protocol. 
The geometric accuracy of each orthorectified product was 
checked in a customised ArcView based application. Two types 
of output reports were generated from the application: 
- a text report from checking procedure listing the check 
point X,Y discrepancies and final RMSE as ID (ie. 
separately for X and Y) and 2D (overall for XY), 
* a diagram report form, which illustrates the vector 
discrepancies, useful in detailed considerations. 
5. RESULTS AND ANALYSIS 
5.1 Ikonos 
The majoritv of Ikonos images were corrected within the 
specification of 2.5m RMSE;p. The scatterplot of RMSEx,y 
(Figure 2) shows that results based on GCPs taken from the 
maps are more heterogenous when compared with those based 
on GPS measurements. However, there is need for further 
evidence to conclude definitively the reason of such error value 
distribution. It can be noted from Figure 3 that the highest 
values of RMSE belong to the same site (Koza). For this site the 
control points were taken from orthophotomap (1:5,000) and 
DTM has resolution of 40m which might be not enough for 
some parts of terrain with more heterogeneous relief. A 1:5,000 
scale orthophotomap was also source of GCPs for the ‘Xant’ 
site, where the DTM has resolution of 30m. 
There is also significant difference between RMSEx or y 
values for ‘Koza’ (not present for ‘Xant’) that may be caused 
by a probably poor DTM for this site, taking into account the 
scanning direction (west to east, which corresponds to y) for 
both sites. 
For the rest of sites the RMSE values present acceptable 
levels, i.e. 2.5m and better, including those with image View 
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International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XXXV, Part B4. Istanbul 2004 
A 
angles up to 20.15°. Further analysis of the Figure 3, in which 
the sites are ordered according to increasing values of image 
view angle, shows that for this data set there are no clear 
relationships between the RMSE values and view angle change. 
There is also no clear evidence that RMSE values may be 
sensitive to number of GCPs or to the variation in the site 
elevation values (an approximate relief descriptor). 
5.2 QuickBird 
All the imagery checked met the 2.5m RMSE;p specification. 
The RMSEy,y values presented on Figure 4 are very 
homogenous and quite low. This may however be due to the 
better quality (compared to many Ikonos sites) of ancillary data, 
supported through the analysis of Figure 5, in which the sites 
are ordered according to increasing values of image view angle, 
RMSE values generally seem to be not correlated with view 
angle change, or at least it is too weak to be detected by visual 
inspection. Some disproportion in value of RMSE for x and y is 
visible for ‘Lefk’, ‘Pige’, and *Cson' sites, but assuming the 
good quality of GCPs measured by GPS the reason can be 
rather related to DTM itself or its georeferencing. 
For ‘Keda’ and ‘Krui’ (almost flat sites, no DTM), average 
heights were used for modelling; nevertheless the results are 
very good. It can also be noted that for these sites and image 
view angle range, neither the number of GCPs nor relief 
characteristics have a significant influence on the RMSE 
values. 
3 EROS 
Un 
Only three sites were covered by EROS images. All 
orthorectification was done with parametric modelling using 
different software. The GCPs were obtained as follows: for GPS 
surveyed ‘Fred’, for ‘Char’ from digital vector map (ref. scale 
1:2500), and for ‘Alc3’ from orthophotomaps. For ‘Fred’ 
(almost flat) the corrected EROS basic scene results in RMSE 
values in an acceptable range (Table 3). For *Alc3' and 'Char 
sites, the so-called “vector scenes” (up to 32 km length) were 
acquired. The larger scene size, more heterogeneous relief, 
higher view angle together with some complexity of image 
(related to asynchronous acquisition mode) limits the possibility 
of achieving good geometric accuracy of orthorectified product. 
Nevertheless, in part due to the image resolution (GSD = 
1.8m) the results for ‘Char’ are quite good. For ‘Alc3’ the 
higher values of RMSE (comparing to ‘Char’) can be explained 
by the source of GCPs; for which only an orthophotomap with 
2m pixel (resampled from Im) was only accessible. 
  
  
  
  
  
  
  
  
SITE DEM gsd | No. of GCP | View. Angle RMSE_X| RMSE_Y 
FRED | 50 (dH=10) 9 14,97 2,45 2,43 
FRED | 50 (dH=10) 9 * 14,97 2:74 2,13 
FRED | 50 (dH=10) 45 ** 14,97 1,37 2,23 
ALC3 | 50 (dH=134) 21 21,90 4,47 3,32 
CHAR | 50 (dH=180) 18 20,18 2,78 2,69 
CHAR | 50 (dH=180) 18: 20,18 2,56 3,93 
  
  
  
  
  
  
Table 3. RMSE yy for EROS: after DTM resolution, the dH 
values mean difference between extreme values of heights 
(relief) measured on GCPs and check points. Software used: * 
Socet Set, ** SipOrtho, PCI Geomatica in other cases. 
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