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The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Vol. XXXVII. Part B4. Beijing 2008 
Point 
Digital map(m) 
Ortho image(m) 
Deviation(m) 
X 
Y 
X 
Y 
X 
Y 
1 
343966.500 
4026510.34 
0 
343961.850 
4026503.020 
4.650 
7.320 
2 
350274.940 
4025638.05 
0 
350269.900 
4025633.180 
5.040 
4.870 
3 
352860.740 
4025026.12 
0 
352858.400 
4025018.330 
2.340 
7.790 
4 
348970.890 
4022716.69 
0 
348972.820 
4022706.710 
-1.930 
9.980 
5 
352047.300 
4020630.14 
0 
352047.760 
4020623.700 
-0.460 
6.440 
6 
346456.560 
4019898.67 
0 
346462.520 
4019887.330 
-5.960 
11.340 
7 
348312.040 
4016897.71 
0 
348303.570 
4016894.900 
8.470 
2.810 
8 
343306.080 
4016514.69 
0 
343307.560 
4016509.880 
-1.480 
4.810 
9 
351270.760 
4015756.93 
0 
351262.160 
4015754.890 
8.600 
2.040 
10 
346553.960 
4014788.28 
0 
346549.190 
4014780.560 
4.770 
7.720 
RM 
SE 
4.770 
2.951 
Table 2. Roads layer 
Point 
Digital map(m) 
Ortho image(m) 
Deviation(m) 
X 
Y 
X 
Y 
X 
Y 
11 
344188.630 
4025030.66 
0 
4025022.410 
344188.630 
8.910 
8.250 
12 
347637.410 
4025396.91 
0 
4025406.480 
347637.410 
-4.790 
-9.570 
13 
352223.510 
4024648.47 
0 
4024656.830 
352223.510 
-5.920 
-8.360 
14 
344156.880 
4020640.24 
0 
4020629.110 
344156.880 
7.870 
11.130 
15 
348461.950 
4021205.77 
0 
4021195.200 
348461.950 
-5.440 
10.570 
16 
352640.460 
4019414.90 
0 
4019422.500 
352640.460 
3.350 
-7.600 
17 
347503.490 
4017411.18 
0 
4017415 140 
347503.490 
8.550 
-3.960 
18 
352035.410 
4015766.99 
0 
4015775.330 
352035.410 
2.950 
-8.340 
19 
342706.530 
4014319.94 
0 
4014311.500 
342706.530 
1.660 
8.440 
20 
349706.100 
4013940.24 
0 
4013932.640 
349706.100 
-6.400 
7.600 
RM 
SE 
6.273 
9.009 
Table 3. River layer 
Point 
Digital map(m) 
Ortho image(m) 
Deviation(m) 
X 
Y 
X 
Y 
X 
Y 
21 
347020.060 
4026234.53 
0 
347022.450 
4026245.030 
-2.390 
-10.500 
22 
353432.070 
4026027.11 
0 
353437.650 
4026017.780 
-5.580 
9.330 
23 
349801.860 
4023801.02 
0 
349807.300 
4023795.340 
-5.440 
5.680 
24 
353032.630 
4022650.88 
0 
353041.300 
4022643.510 
-8.670 
7.370 
25 
344541.810 
4020005.66 
0 
344537.500 
4020000.010 
4.310 
5.650 
26 
349891.480 
4019449.79 
0 
349897.230 
4019444.360 
-5.750 
5.430 
27 
346890.300 
4018272.78 
0 
346887.410 
4018262.360 
2.890 
10.420 
28 
353406.640 
4016115.80 
0 
353412.490 
4016113.530 
-5.850 
2.270 
29 
350659.610 
4014129.37 
0 
350649.920 
4014135.630 
9.690 
-6.260 
30 
345594.000 
4013627.22 
0 
345600.510 
4013618.660 
-6.510 
8.560 
RM 
SE 
5.942 
6.892 
Table 4. Structures layer 
The accuracy analysis results for 30 check points which were 
selected in ortho imagery, root mean square error of roads layer 
is ±4.770m in X and ±2.951m in Y. And RMSE of rivers layer 
is respectively ±6.273m, 9.009m in X, Y and of structures layer 
is respectively ±5.942m, 6.892m in X, Y. It is within the 
permissible accuracy required for the map revision on a scale of 
1 to 25,000 on the mapping rule notified by the National 
Geographic Information Institute of Korea. 
As a result, ortho imagery generated by SPOT5 single image is 
sufficiently satisfied in plane positional accuracy required for 
the map revision. It is evaluated a good possibility of ortho 
imagery production using SPOT5 single image and expected 
that the results of this research will be fully used in ortho 
imagery mapping and applications using an existing digital map 
and a single satellite image. Figure 6~8 show deviation of each 
layers. 
14 mm® 
-4 
-6 
-8 
Figure 6. Deviation of road layer