Full text: Proceedings; XXI International Congress for Photogrammetry and Remote Sensing (Part B4-3)

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The International Archives of the Photogrammetiy, Remote Sensing and Spatial Information Sciences. Vol. XXXVII. Part B4. Beijing 2008 
If the coordinate differences were bigger than 3a (% 99.73), 
they were identified as gross errors and re-measured or 
eliminated. The results are shown in the tables (Table 2-4). 
Image 
No. Of 
GCP’s 
DEM 
No. Of 
CP’s 
RMSE (m) 
X 
У 
xy 
Aerial 
Photo 
11 
Photog. 
DEM 
23 
0.94 
0.95 
1.33 
Aerial 
Photo 
11 
Cartog. 
DEM 
22 
1.20 
0.98 
1.55 
Table 2. Differences on aerial photographs 
Image 
No. Of 
GCP’s 
DEM 
No. Of 
Check 
Points 
RMSE (m) 
X 
У 
xy 
Quickbird 
4 
Photog. 
DEM 
25 
1.05 
0.85 
1.35 
Quickbird 
5 
Photog. 
DEM 
25 
1.04 
0.84 
1.33 
Quickbird 
9 
Photog. 
DEM 
26 
1.29 
1.01 
1.63 
Quickbird 
9 
Cartog. 
DEM 
26 
1.56 
1.02 
1.86 
Quickbird 
Orient.P 
ara. 
Cartog. 
DEM 
27 
38.97 
14.89 
41.72 
Table 3. Differences on Quickbird images 
Image 
No. Of 
GCP’s 
DEM 
No. Of 
Check 
Points 
RMSE (m) 
X 
У 
xy 
IKONOS 
4 
Photog. 
DEM 
25 
2.25 
1.54 
2.73 
IKONOS 
4 
Ikonos 
DEM 
25 
2.25 
1.43 
2.67 
IKONOS 
5 
Photog. 
DEM 
25 
2.16 
1.49 
2.62 
IKONOS 
7 
Photog. 
DEM 
26 
1.28 
1.55 
2.01 
IKONOS 
7 
Ikonos 
DEM 
26 
1.28 
1.54 
2.00 
IKONOS 
7 
Cartog. 
DEM 
26 
1.37 
2.19 
2.58 
IKONOS 
Orient. 
Para. 
Ikonos 
DEM 
27 
11.97 
11.84 
16.84 
IKONOS 
Orient. 
Para. 
Cartog. 
DEM 
26 
11.58 
10.66 
15.74 
IKONOS 
7 
STEREO 
24 
0.77 
0.89 
1.17 
RMSE (z) = 0.94 
Table 4. Differences on IKONOS images 
3.3 Geometric Accuracy Assessment Results 
The geometric accuracy results show generally that the high 
resolution satellite images can be used in mid / large scale 
(1:6.000 to 1:10.000) mapping processes. And we can say that; 
■ Quickbird ortho-images with 9 GCP’s have better 
accuracy than IKONOS ortho-images with 7 GCP’s. And, 
Quickbird ortho-images having 4/5 GCP’s have an accuracy 
that is very close to aerial photographs (Atak and Altan, 
2006). Moreover it has been detected that the accuracy is 
getting worse in IKONOS and getting better in Quickbird ortho 
images if the number of GCP’s decreases. The reason of this is 
the GCP’s quality. Likewise the studies using SPOT HRS data 
by Reinartz et al. (2006) and CARTOSAT-1 data by Michalis 
and Dowman (2006) imply that the same accuracy can be 
reached with 3/4 GCP’s as using 28/39 GCP’s. 
■ Using direct sensor orientation parameters given by the 
companies (in 2002), IKONOS ortho-images have better 
accuracy than Quickbird ortho-images. But today, it is possible 
to reach better accuracy with new orientation parameters. In 
addition, systematic errors have been observed in the 
easting/north easting (across track) direction. In most studies it 
has been noted that the RMS geopositioning accuracy is just 
below !4 pixel in the cross-track direction and close to Vi pixel 
in both the along-track direction and in height (Hanley and 
Fraser, 2004). And a significant portion of the easting errors 
may have been due to variations in satellite elevation, 
especially when the IKONOS satellite imaged at low elevation 
angles (Helder et al., 2003; Yamakawa and Fraser, 2004). 
■ The results obtained from orthophotos using IKONOS- 
DEM and photogrammetric DEM are very close. Therefore 
IKONOS-DEM can be used instead of photogrammetric DEM. 
■ After evaluating of the gross error positions, it is 
determined that they are mostly (25 of 27 - % 92.6) located on 
the edge / outside of GGP network or on rough area where the 
height differences are very high. In the same way Bouillon et al. 
(2006) determine that the errors are getting bigger if the slope 
increases (Figure 2). 
Figure 2. The check point which has the biggest error 
■ Finally, the results show that the stereo IKONOS image 
has the best accuracy and stereo IKONOS image allows 
mapping processes up to 1:6.000 scale. On the other hand, it is 
possible to realize mapping processes up to 1:7.000 - 1:7.500 
scale from mono satellite ortho-images. 
4. FEATURE COMPILATION ASSESSMENT 
4.1 Mapping Areas and Map Productions 
Three regions which have different characteristics have been 
selected in the study area for feature compilation analyses. 
Some criteria were taken into consideration in selection of 
compilation areas (Atak and Altan, 2006). First; the areas have
	        
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