LI PE Je i hl Ta inne nn
Figure 12: Topographic map 1:25000
This first classification result can be taken as a useful
hint for the detection and extraction processes mentioned
above. In the class “roofs” all buildings of the scene are
present thus a precise detection of this regions is strongly
supported by the multispectral data. The same holds for the
road network. Also useful is the information about shadow
regions because in this areas it is often difficult to distin-
guish between the contours of buildings and the contours
of the adjacent shadow regions.
That automatic procedures for DTM reconstruction may
also profit from the multispectral data show the following
considerations. If, for example, water regions are present in
the scene they generally have to be marked to avoid match-
ing in these regions. If a part of the scene is covered by for-
est then matching ends up with the surface of the canopy.
But if now those informations on the regions in the scene
are extracted by multispectral analysis this knowledge can
be used to guide the DTM modules with an object specific
treatment within the recovery process.
5. OUTLOCK
For the evaluation of the DPA sensor system an extensive
test flight experiment has been carried out in 1995. Investi-
gations on the GPS-INS integration for georeferencing the
image data and on rectifying the images are presented in
this paper. Other work mainly with the 3D point determina-
tion from the three-line imagery are left for the future. With
respect to 3D reconstruction first results from a previous ex-
periment have been reported in Kaltenecker et al. (1994).
In the work carried out next we concentrate on
e the automatic measurement of the signalized points
in the DPA images as well as in the simultaneously
taken aerial images
e automatic point transfer in the stereo data of DPA but
also between DPA and aerial images which allows to
check the quality of DPA 3D reconstruction with nat-
ural points.
e a further investigation of the multispectral classifi-
cation which can be expected to improve if rectified
panchromatic and multispectral channels are used
simultaneously together with more advanced classi-
fication procedures.
ACKNOWLEDGEMENT
The DPA project is funded by the German Federal Office for
Military Technology and Procurement (BWB) in Koblenz.
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International Archives of Photogrammetry and Remote Sensing. Vol. XXXI, Part B2. Vienna 1996
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