Therefore, the stereo models of the previous and following
strips are determined to be the best combination for the RPM
from the viewpoint of processing cost.
approach. Case (4) was confirmed to perform the processing
within the same or shorter amount of time than when the RPM
is not used. Based on this improvement, case (4) using the RPM
and DTM as a reference, with only a high resolution in the
coarse-to-fine approach, is deemed the most applicable method
Aiea # of W/O All Stereo CUR Phy from a quantitative examination.
Pts. RPM Models Strip FF Strips
A 126 0.913 0.862 0.833 0.823 # of W/O
: 2
B 290 0.986 0.769 0.937 0.722 Area | pEMPrs. | RPM | e (3) e
C 1049 0.877 0.739 0.836 0.799 A 668876 535 836 638 793 505
D 730 0.752 0.646 0.736 0.698 B 786400 1149 1583 1275 1448 818
E 1161 0.711 0.643 0.664 0.616 C 896213 1337 1735 1456 1610 821
Unit : m D 961074 666 1667 1058 1273 740
Table 2 The mean square of the elevation gap E 1000578 862 1936 1282 1516 910
Unit : Second
# of W/O All Stereo CUR PREV Table 6 Comparison of the processing times
Area ; and
Pts. RPM Models Strip ;
FF Strips Mb ;
3.2.0 Qualitative Evaluation
A 126 15 13 14 14 ;
B 290 106 89 97 89 An examination of the effectiveness of the RPM was performed
C 1049 185 132 168 165 qualitatively by checking the distribution of the mismatched
D 730 153 122 149 126 points on a color-shaded map created from the DEM extracted
E 1161 263 239 253 232 using the matching process.
(combinations of stereo models)
Table 3 The number of mismatched points 3.22.1 Comparison based on the variations in the
(combinations of stereo models) stereo model combinations for the RPM
3212 Comparison of the restricted application of the The changes in the color-shaded maps with variations in the
RPM in the coarse-to-fine approach
For the use of the RPM with the stereo models of the previous
and following strips, the changes in the accuracy of the DEM
and in the processing times are examined using a restricted
application of the RPM in the coarse-to-fine approach. The
mean squares of the elevation gaps are shown in Table 4, and
the numbers of mismatched points are shown in Table 5.
Arca id SO (1) (2) 3) (4)
A 126 0.913 0.823 0.924 0.941 0.769
B 290 0.986 0.722 1.049 0.737 0.770
C 1049 0.877 0.799 0.875 0.813 0.817
D 730 0.646 0.698 0.663 0.629 0.680
E 1161 0.711 0.616 0.679 0.604 0.624
Table 4 Mean square of the elevation gap
(Restriction in the resolution stage
in the coarse-to-fine approach)
# of W/O
Area Pis RPM (1) (2) (3) (4)
A 126 15 14 14 16 11
B 290 106 97 106 88 90
C 1049 185 168 186 152 157
D 730 153 126 130 122 135
E 1161 263 232 249 228 241
Unit: m
Table 5 The number of mismatched points
(Restriction in the resolution stage
in the coarse-to-fine approach)
Based on Tables 4 and 5, compared to the cases without the
use of the RPM, the accuracy of the DEM is improved with the
application of the RPM for (1) all resolution stages, (3) high-
resolution stages, or (4) when using the DTM as a reference.
Table 6 shows the changes in the processing time with
variations in the application of the RPM in the coarse-to-fine
stereo model combinations for the RPM are shown in Figure 6.
PREV and
FF Strips
Ortho W/O All stereo CUR
photo RPM Models Strip
0 500m (a)Mountain (area A).
Aero photo by GSI Japan(2008)
(b) Rice fields (area B)
0 200m
Figure 6 Comparison of elevation
with RPM changing stereo model
The squares in the figure indicated mismatched points in a
mountainous area and rice fields generated without the use of
the RPM. These mismatched points are removed by the RPM
with a combination of all stereo models and only the stereo
models of the previous and following strips.
From a qualitative evaluation using color-shaded maps, the
accuracy was confirmed to be improved from the use of the
RPM when using combinations of all stereo models and only
stereo models of the previous and following strips, which is the
same result as from the quantitative evaluation. Also, for the
distribution of mismatches, there are slight gaps between the
two cases.
170
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