Table 2. Percentage of points for various classes of absolute differences between manual and automatic measurements (in m).
Version 0-2 2-3 3-4 4-6 6-9 9-15 >19
DPW 770 (whole image) 85.65/ 5.35/ 2.80/ 2.69/ 1.90/ 0.94/ 0.68/
all points / points with code > 32 90.12 5.57 2.20 1.55 0.47 0.09 0.00
DPW 770 96.75 1.73 0.63 0.40 0.28 0.18 0.05
(region without big blunders)
VirtuoZo (whole image) 89.17 3.99 2.26 1.87 1.05 0.81 0.85
VirtuoZo 97.70 1.38 0.35 0.25 0.18 0.15
(region without big blunders)
-17m 0m 10 m
Fig. 4. Accuracy analysis in the region without big blunders. The differences between manual results and DPW 770 (VirtuoZo
results were very similar) are displayed as grey values. The range -4 to 4 m has been strongly stretched for better
visualisation. 1 ...big errors due to steep slopes, 2 ...errors at the tip of the glacier tongue.
Fig. 5. Low quality code of DPW matching results: Points with quality code < 33, i.e. unreliable points, are displayed in white and
overlayed on an orthoimage. They mostly lie in areas with shadows or no texture (compare to Figure 3).
processing phase. It will also compensate for y-parallax, perform
epipolar resampling on the fly, and use more than two images.
4.2. DTM Editing
Efficient, fast and comfortable methods for the automatic
detection and exclusion of blunders are still missing. As an
example big errors (so called spikes) could be easily detected and
108
corrected by a median filtering but such functions are not
provided or not correctly implemented by these two systems.
Since some blunders may always remain in the data set, a manual
editing will still be necessary. The tools provided by digital
photogrammetric systems must be such that all blunders are
included in a set of suspicious points that is presented to the user,
permitting him an easy manual or semiautomatic
remeasurement. Otherwise, the user must visually control
International Archives of Photogrammetry and Remote Sensing. Vol. XXXI, Part B4. Vienna 1996
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