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International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XXXV, Part B5. Istanbul 2004
The oriented SPOT stereo pair was then subjected to the
automated DTM/DSM generation, using the module of SAT-
pP. A 20 m raster DTM for the whole area and 5 m raster DTM
for the area covered by the IKONOS image were interpolated
from the original matching results, using also some manually
measured breaklines near the Buddha cliff (Figure 5). The
matching algorithm combines the matching results of feature
points, grid points and edges. It is a modified version of MPGC
(Multi Photo Geometrically Constrained) matching algorithm
[Gruen, 1985; Zhang, Gruen, 2004] and can achieve sub-pixel
accuracy for all the matched features.
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the Bamiyan area displayed in
colour coding mode (left). The two overlaid DTMs (right).
Figure 5: The recovered DTM of
Finally, for the visualization of the whole Bamiyan area, a 2.5
m resolution ortho-image from SPOT images and a | m
resolution ortho-image from the IKONOS image were
generated. The textured 3D models are presented in Figure 6.
Figure 6: The DTM of the Bamiyan area generated from
satellite images and textured with a SPOTS (above) and an
IKONOS ortho-image (below).
In Figure 7 two closer views on the 3D IKONOS textured
model of the Bamiyan cliff and the old Bamiyan city (the
pyramid-type hill to the left) are presented.
Figure 7: Zoom into the 3D Bamiyan terrain model. The rock
cliff with the two empty niches (above). À view of the Bamiyan
area: on the left the hill (Shar-i Ghulghulah) where the old city
was located while in the centre the new ‘bazaar’ is visible
(below).
3. MODELING OF THE ROCK CLIFF OF BAMIYAN
For the reconstruction and modeling of the Bamiyan cliff
(Figure 8), a series of terrestrial images acquired with an
analogue Rollei 6006 camera was used. Furthermore, a geodetic
network of 10 stations was used to measure, with a total station,
30 control points distributed all along the rock cliff.
Tr Pe “=
Figure 8: The Bamiyan cliff, approximately 1 km long and 100
m high (above). The cliff as seen from the empty niche of the
Small Buddha (below).
The images of the rock facade were acquired along a strip. 39
images were oriented with a self-calibrating bundle adjustment,
measuring the tie points in the Analytical Plotter (Figure 9).
The average precision of the object points is o, 0.15 m, 0,
0.11 m, 6,= 0.23 m with a standard deviation of unit weight a
posteriori at 0.013 mm.