nbul 2004
last two
onsidered
10se of t,,
th classes
- it is not
cordingly,
1 all other
g to the
r reduced
appearing
d
ensemble
ght grey).
ling parts
ding was
so that it
uced one.
oth dates
elder) as
rmined at
10st right
etter.
; found to
| building
le the old
area was
ding. The
an not be
€ precise
1ing data
iat stands
jects task
' damage
presented
ly to be
'SMs and
buildings
based on
re found
ged with
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XXXV, Part B2. Istanbul 2004
other buildings into one segment during the building extraction
step. Otherwise, the segment was found to be modified. All the
not-altered and modified buildings were detected correctly, too.
Only the both groups of modified buildings - added-on and
reduced — contain ambiguities in the interpretation of the
received results. It showed that the approach to rate all
segments separately, i.e. the ones obtained from the elder DSM
independently from those received analysing the newer DSM,
already helps to interpret the majority of changes correctly.
Nevertheless, the method can not provide the full information
necessary in the context of disaster management. But it helps to
extract those buildings which possibly undergone a damage by
indicating them as reduced. Such buildings can than be
analysed by a more sophisticated methodology, e.g. based on
extracted CAD models, which therefore needs more processing
time, too. As disaster management is a time-critical task, a
prefixed fast filtering of the data, like the method presented,
makes sense.
Besides the application in disaster management, the results
obtained using the approach can be used for lots of other
purposes, too. As the object-based approach allows to detect
changes better than a simple subtraction of DSMs, it could be
used e.g. for a nearly automatically update of spatial databases
in urban environments.
Significant improvement of the method could be achieved by
applying methods to avoid merging several buildings into one
segment. This could for instance be done by introducing a
segment splitting methodology based on a simultaneously
comparison of the segments from both dates in conjunction
with the both DSMs.
To improve the information stored in a spatial database of urban
areas, the buildings found to be unchanged could be used for an
improvement of the information already stored in the database.
For instance, a 3D-modelling of buildings could be applied for
several dates independently and the results merged with the
already stored 3D information to consecutively improve the
models accuracy.
REFERENCES
Altan, O., Kemper, G., Lavalle, C. and Demicheli, L., 2002.
MOLAND — Monitoring land-use changes for the city of
Istanbul. |n: International Archives of Photogrammetry,
Remote Sensing and Spatial Information Sciences (IAPRS),
Hyderabad, India, Vol. XXXIV, Part 7, published on CD.
Bhattacharyya, K., Sarma, K.S., Dey, S., Bahuguna, A., Shah,
D. and Nayak, S.R.. 2002. Application of remote sensing for the
study of mangrove assemblages in Sunderbans, West Bengal.
In: /APRS, Hyderabad. India, Vol. XXXIV, Part 7, published
on CD.
CRC 461, 2004. Homepage of the Collaborative Research
Center 461 'Strong Earthquakes: A Challenge for Geosciences
and Civil Engineering’. http://www-sfb461 physik.uni-
karlsruhe.de (accessed 08 May 2004).
Haralick, R.M. and Shapiro, L.G., 1992. Computer and robot
vision. Vol. 1, Addison-Wesley, Reading, MA.
Jung, F., 2004. Detecting building changes from multitemporal
aerial stereopairs. ISPRS Journal of Photogrammetry &
Remote Sensing, 58 (2004), pp. 187-201.
433
Maffra, C.Q.T. and Honikel, M.W., 2002. LANDSAT and ERS
image classification for forest damage detection. In: IAPRS,
Hyderabad, India, Vol. XXXIV, Part 7, published on CD.
Matikainen, L., Hyyppà, J. and Hyyppà, H., 2003. Automatic
detection of buildings from laser scanner data for map
updating. In: IAPRS, Dresden, Germany, Volume XXXIV, Part
3. http://www.isprs.org/commission3/wg3/workshop. laser
scanning/papers/Matikainen ALSDD2003.pdf (accessed 06
May 2004).
Sithole, G. and Vosselman, G., 2003. Comparison of Filtering
Algorithms. IAPRS, Dresden, Germany, Vol. XXXIV, Part
3/W13, pp. 71-78.
Steinle, E. and Bähr, H.-P., 2002. Detectability of urban
changes from airborne laserscanning data. In: IAPRS,
Hyderabad, India, Vol. XXXIV, Part 7. http://www.ipf.uni-
karlsruhe.de/Projekte/SFB46 1/C5/publications/Hyderabad02.pdf
(accessed 06 May 2004).
Steinle, E., Kiema, J.B.K., Leebmann, J. and Bähr, H.-P., 2001.
Laserscanning for Analysis of Damages Caused by Earthquake
Hazards. In: Kennert Torlegard and J. Nelson (eds.), Proc. of
the OEEPE workshop on Airborne Laserscanning and
Interferometric SAR for Detailed Digital Elevation Models,
OEEPE Official Publication No. 40, 2001. http://www.ipf.uni-
karlsruhe.de/Projekte/SFB461/C5/publications/Stockholm01 .pdf
(accessed 06 May 2004).
Steinle, E. and Vôgtle, T., 2000. Effects of different
laserscanning modes on the results of building recognition and
reconstruction. In: JAPRS, Amsterdam, The Netherlands, Vol.
XXXII, Part B3, pp. 858-865.
TopoSys, 2004. Homepage of the TopoSys company.
http://www.toposys.com (accessed 07 May 2004).
Tóvári, D. and Vógtle, T., 2004. Classification methods for 3D
objects in laserscanning data. In: IAPRS, Istanbul, Turkey, also
in this Volume.
Vogtle, T. and Steinle, E., 2003. On the Quality of Object
Classification and Automated Building Modelling Based on
Laserscanning Data. In: IAPRS, Dresden, Germany, Volume
XXXIV, Part 3. http://www.isprs.org/commission3/wg3/work
shop laserscanning/papers/Voegtle ALSDD2003.pdf (accessed
07 May 2004).
Wehr, A. and Lohr, U., 1999. Airborne laser scanning — an
introduction and overview. ISPRS Journal of Photogrammetry
& Remote Sensing, 54, pp. 68-82.
Weidner, U. & Fórstner, W., 1995. Towards automatic building
extraction from high resolution digital elevation models. ISPRS
Journal of Photogrammetry and Remote Sensing, 50(4), pp. 38-
49.
ACKNOWLEDGEMENTS
The authors would like to thank Deutsche Forschungs-
gemeinschaft (http://www.dfg.de/english/index.html) for
funding the work through the collaborative research center 461
(Strong earthquakes: A challenge for Geosciences and Civil
Engineering) in the project part CS (Image Analysis in
Geosciences and Civil engineering). The aerial photographies
shown in the paper were kindly provided by the city of
Karlsruhe, department 4. which is highly appreciated.
|:
