International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XXXV, Part B3. Istanbul 2004
Figure 4.9- Results of the final classification using the robust
method, site No. 2.
Sed ad e
& C Pt = á ibi VER cR RSEN
Figure 4.10 -Results of the final classification of combining the
Road Method with the robust method, site No. 2.
The final DTM obtained by combining the roads and the robust
orthogonal methods are shown by figure 4.10. these results
shown a perfect DTM extraction at least in the qualitative
aspect.
4. CONCLUSSION
In this paper we present automatic object classification
algorithm from LIDAR data, in urban area, with no prior
information. An improving of the robust method has been made
using orthogonal polynomial. Using the roads net as input
information, can give a reliable DTM, The optimal result is
obtained by merging the robust and the roads methods. The
methods have been tested on different types of terrain and the
results found to be reliable and stable.
REFERENCES
[1] Hiroshi Masaharu and Kazuyuki Ohtsubo (2002),
AFILTERING METHOD OF AIRBORNE LASER SCANNER
DATA FOR COMPLEX TERRAN. Commission III, Working
Group III/3.
[2] M. A. Brovelli, M. Cannata and U.M. Longoni (2002).
Managing and processing LIDAR data within GRASS.
Proceeding of the Open source GIS — GRASS users conference
2002- Trento, Italy, 1 1-13-septemper.
[3] K. Kraus and N. Pfeifer, (2001) Advanced DTM
generation from LIDAR data, IASPRS, Vol.XXIV — 3/W4,
Annapolis, MD.
[4] R.Wack, A.Wimmer Joanneum Research, DIGITAL
TERRAIN MODELS FROM AIRBORNE LASER SCANNER
DATA — A GRID BASED APPROCH, Institute of Digital
[Image Processing, Wastiangasse 6, 8010 Graz, Austria.
[S]- Ch. ^Briese N.Pfeifer, P. Dorninger, (2002).
APPLICATIONS OF THE ROBUST INTERPOLATION FOR
DTM DETERMENATION. Institute of photogrammetry and
Remote sensing, Vienna University of Technology,
Gusshausstrabe 27-29. Commission III WG III/3.
[6] Airborne 1 Corporation (1999). Technology Summary:
LIDAR. At: http://www.airbornel.com/ techmain.html.
[7] Haala, N., C. Brenner, and K.H. Anders, 1998. 3D urban
GIS from laser altimeter and 2D map data, In: ISPRS, Vol. 32,
Part 3/1, pp. 339-346.
[8] John M. Hill, Lee A. Graham, and Robert J. Henry, Wide-
Area Topographic Mapping and Applications Using Airborne
LIght Detection and Ranging (LIDAR) Technology PE&RS
August 2000, VOLUME 66, NUMBER 8.
[9]Masaomi Okagawa, Algorithm of Multiple Filter to Extract
DSM from LiDAR Data, The department of Geodesy , Stuttgart
University 1998.
3D
KEY
ABST
The p:
the de
detern
the ro
linear
techni
face a
length
correc
11 N
The to
scanne
Exam
3D-cit
the ac
system
buildin
maps.
For thi
can be
Figure
the inc
data, it
in a We
density
Under
for bui
purely
driven
driven
realisec
[Rotten
