XXIX-B3, 2012
€ a
eif in
€v
ed image on 3D pris-
!
5
dimensional urban re-
roposed two different
ges and DSMs of Tu-
), we have performed
. For testing shape de-
ferent analysis; object
«el based shape detec-
detection performance
f the algorithm can de-
cted shape. Based on
shape model based ap-
orrectly (88.87% true
detected in non-built
nodel based approach
ly (82.79% true posi-
ted in non-built areas.
'd by considering how
:ted correctly. The ac-
| 82.12 % of building
Is in the result shape
It areas. However, the
96.26 % of building
s in the result shape
lt areas. Shape detec-
del based approach is
res, and the prismatic
ilding shape cannot be
ver, if the building lo-
approach can estimate
does not contain dis-
'h has in the connected
imation performances,
the best approach is to use LIDAR data of the same region for
comparison. Unfortunately, for the test region the LIDAR data
does not exist. Therefore, the height estimation of the results are
checked by comparing the mean of building height differences
from the ground in result data and in nDSM data. In this com-
parison, the active shape model based approach gave 0.586 meter
difference value, and the prismatic model based approach gave
0.724 meter difference value. The low differences of the build-
ing height values from nDSM data indicates the reliable results of
the proposed automatic approaches in building height assignment
steps.
5 CONCLUSIONS
Herein, we introduced two different approaches for automatically
3D city model generation using DSMs which are obtained from
very high resolution satellite images. Besides proposing new ap-
proaches for 3D model generation, we provided quantitative com-
parisons of the 3D models based on building shape detection and
height estimation performances. In order to give an insight view
to the reader, we also discussed computation time requirements
and implementation difficulties of those approaches. To test our
algorithms we used two test areas which have completely differ-
ent structuring types. We used DSMs obtained over Munich and
Tunis cities by using WorldView-2 satellite sensors. However, the
final assessment prove that the methodologies lead to very good
results. We believe that the results can also assist the applications
like detailed city monitoring, change detection, urban structure
analysis, planning, damage investigations, and population assess-
ments.
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