stanbul 2004
on a priori
odel with an
ct this image
which is not
)cess means
ages.
' difficult to
images taken
see the walls,
oes, the only
- or without
ture all the
cals with the
the choice to
e facet, it is
tions.
is the exact
ach available
cisely adjust
etry: we take
tching. Once
it to project
0 generate a
lage can be
vhile making
model.
e, makes it
| image. This
ges for the
y the inverse
This process
ind to define
ions.
! geometrical
The last step
prrect texture
ing modeled
il overflights
once the 3D
irtual camera
>. This image
| considering
these images
ing any high
be made this
ential step.
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XXXV, Part BS. Istanbul 2004
5. CONCLUSION
We are able to virtually navigate over SPOTS scenes and now,
we wish to treat in the same manner the future images of the
future high-resolution satellites as Pléiades-HR. We saw that, in
order to take into account these images (with sub-meter
resolution), it is necessary to increase the resolution of the
geometry on which the image is mapped. This increase in data
resolution imposes to consider all the various objects
constituting the scene (buildings, trees, etc).
We set up an automatic data processing sequence allowing to
solve the many problems of consistency of available data and to
carry out all the treatments needed to merge in an exact way the
3D data into a traditional DEM. These merged data are from
now on available for any virtual overflight.
Finally, we wish to bring a solution to the problem of textures
for the building walls. After a geometry simplification step. we
wish to perfect an automatic process of radiometric facet
extraction in the various available images.
6. REFERENCES
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