rithm
is H)
nask,
mage
pixel
iginal
range
r the
r this
n be
orrain
aster
y the
nage
also
The
o the
nage
have
input
to.
face
Iding
ging
os in
only
iden
final
| by
rent
lired
For pixels mapped in both orthophotos an appropriate
rule (e.g. average) has to be applied to compute the final
grey value g, ,.
3. ORTHOPHOTO PRODUCTION ENVIRONMENT
3.1 Data Acquisition
Currently data capturing for building models is usually
done manually on analytical or digital photogrammetric
stereo digitizers. ^ Approaches for automated data
acquisition applying digital techniques are still under
development (Lang, 1995; Haala 1995). Therefore
simple procedures for manual acquisition on a
stereoplotter integrated into a CAD environment are of
great importance. Capturing of DTM-data and 3D man-
made object data will be done simultaneously.
The usage of existing data generally captured for other
purposes (e.g. maps etc) is very difficult. In most cases
these data are stored in two dimensional GIS. Therefore
additional information such as 3D topology, elevation,
etc. is required. Inconsistency of these data sets is
another big problem. It is caused by data acquisition
using different methodes, at different epochs for different
purposes.
Since data acquisition for building models is very time
consuming, municipalities of big cities should set up data
sets for multipurpose future usage.
3.2 Modelling
Fortunately many buildings (especially in suburban
areas) are of simple shapes. In this case it is sufficient to
digitise roofs only. Walls can be computed from roofs
(eaves) and DTM (see figure 7) on the assumption that
eaves and terrain are boundaries et walls. This methode
is not to apply for overhangs.
Three dimensional triangulation algorithms with
geometric constraints (Halmer et al, 1996) are necessary
for automatic generation of geometric primitives as
described in chapter 2.2 (see figure 8). This method is
used to model details within roofs. A test detects nearly
vertical roofs to be classified as wall.
Fig 7: House modelling by roof and terrain data
e <P
a) input b) result
Fig. 8: Triangulation with geometric constraints
For complex bodies, modelling must be done
simultaneously with capturing. Therefore the integration
of modelling and capturing modules is necessary.
In some countries buildings are very similar and therefore
it is possible to prepare standard buildings with same
topology (Ranzinger, Gleixner, 1995). (Lang et al, 1995)
proposes a method for semi automatic topology building.
Digital photogrammetric methods such as edges
extracting or matching might be extended to 3D-topology
matching.
3.3 Orthophoto Management System
For citywide orthophoto generation (with several hundred
thousand buildings and also several thousand digital
photos and associated control data), a database system
is necessary to manage all these data.
This orthophoto management system should handle all
relevant data:
e aerial images including image properties (orientation,
etc).
e digital terrain model
e digital building model
Required data for orthophoto computation will be made
available by the system. Another important task is data
exchange (import, export) with other systems.
[73^ (773
s *
ov
: [5i
LLL 4 LIII
u
— —
>
fe
5
Owl
£
oc
$
2
2 P-L
n| à jo
LA] n
^ Remote-Sensing-s t^.
Be FA
m A ru
HF)
- P-2
no
Fig.9: Object partitioning
International Archives of Photogrammetry and Remote Sensing. Vol. XXXI, Part B4. Vienna 1996